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Academic literature on the topic 'Multiscale structural analysi'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Multiscale structural analysi"

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Boucard, P. A., S. Buytet, and P. A. Guidault. "A multiscale strategy for structural optimization." International Journal for Numerical Methods in Engineering 78, no. 1 (April 2, 2009): 101–26. http://dx.doi.org/10.1002/nme.2484.

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Arikawa, Taro, Katsumi Seki, Yu Chida, Tomohiro Takagawa, and Kenichiro Shimosako. "DEVELOPMENT OF MULTISCALE MULTIPHYSICS INTEGRATED SIMULATOR FOR TSUNAMI RUNUP CALCULATION COUPLED WITH STRUCTURE ANALYSIS." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 60. http://dx.doi.org/10.9753/icce.v36.structures.60.

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The 2011 Great East Japan Earthquake (GEJE) has shown that Tsunami disasters not only cause flooding damage but also can be a phenomenon accompanied by many damage of structures. In order to evaluate the damage of the building due to the tsunami, a three dimensional numerical tank with structure analysis is required, but the calculation cost is very high to calculate from the tsunami source of the tsunami to the inundation zone. Therefore, the purpose of this research is to develop a system that can calculate the destruction of buildings from a wave source of the tsunami in a series and confirm its validity. Specifically, the stability of Tsunami breakwaters in Kamaishi Bay and the seawalls in Otsuchi Bay was investigated.
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Chaabane, Marwa, Majdi Mansouri, Kamaleldin Abodayeh, Ahmed Ben Hamida, Hazem Nounou, and Mohamed Nounou. "Effective fault detection in structural health monitoring systems." Advances in Mechanical Engineering 11, no. 9 (September 2019): 168781401987323. http://dx.doi.org/10.1177/1687814019873234.

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A new fault detection technique is considered in this article. It is based on kernel partial least squares, exponentially weighted moving average, and generalized likelihood ratio test. The developed approach aims to improve monitoring the structural systems. It consists of computing an optimal statistic that merges the current information and the previous one and gives more weight to the most recent information. To improve the performances of the developed kernel partial least squares model even further, multiscale representation of data will be used to develop a multiscale extension of this method. Multiscale representation is a powerful data analysis way that presents efficient separation of deterministic characteristics from random noise. Thus, multiscale kernel partial least squares method that combines the advantages of the kernel partial least squares method with those of multiscale representation will be developed to enhance the structural modeling performance. The effectiveness of the proposed approach is assessed using two examples: synthetic data and benchmark structure. The simulation study proves the efficiency of the developed technique over the classical detection approaches in terms of false alarm rate, missed detection rate, and detection speed.
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Swanson, Jessica MJ. "Multiscale kinetic analysis of proteins." Current Opinion in Structural Biology 72 (February 2022): 169–75. http://dx.doi.org/10.1016/j.sbi.2021.11.005.

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Bendeif, EL-Eulmi, Kuan-Ying Hsieh, Dominik Schaniel, Axel Gansmuller, Sébastien Pillet, and Theo Woike. "Multiscale structure-properties analysis of photoactive nanocomposite materials." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C739. http://dx.doi.org/10.1107/s2053273314092602.

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In the last decades, the confinement of various types of functional material in mesoporous silica matrices has been used to design hybrid organic-inorganic nanocomposites with unique and fascinating properties. Such nanocomposites have attracted considerable interest owing to their potential applications in various domains [1-2], while reports with precise structural information of such molecular nanomaterials are still rather scarce and quite disparate. However, in order to be able to derive a structure-functionality relationship of such hybrid complexes, a detailed description of the structural organisation of the guest species and of their immediate surrounding is absolutely mandatory. We show in this contribution that detailed structural information can be obtained by using an appropriate multiscale approach combining various experimental techniques such as X-ray total scattering coupled to atomic pair distribution function (PDF) and solid-state NMR spectroscopy. This multiscale approach does provide more extensive and accurate structural information [3]. The PDF approach has allowed the identification of the nature of the incorporated species and their arrangement as well as the distinction of the various existing phases: isolated molecules and nanoparticles. The multi-nuclei Solid State NMR investigation has provided information on both the amorphous host and the molecular guest and adds a dynamic dimension to the classical static structural characterisation. We also discuss the influence of the structural changes on the physical properties of the investigated materials
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Lanata, Antonio, and Mimma Nardelli. "Advances in Multivariate and Multiscale Physiological Signal Analysis." Bioengineering 9, no. 12 (December 16, 2022): 814. http://dx.doi.org/10.3390/bioengineering9120814.

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He, Wanli, Philip Avery, and Charbel Farhat. "In situ adaptive reduction of nonlinear multiscale structural dynamics models." International Journal for Numerical Methods in Engineering 121, no. 22 (August 16, 2020): 4971–88. http://dx.doi.org/10.1002/nme.6505.

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Su, Tung-Huan, Szu-Jui Huang, Jimmy Gaspard Jean, and Chuin-Shan Chen. "Multiscale computational solid mechanics: data and machine learning." Journal of Mechanics 38 (2022): 568–85. http://dx.doi.org/10.1093/jom/ufac037.

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Abstract Multiscale computational solid mechanics concurrently connects complex material physics and macroscopic structural analysis to accelerate the application of advanced materials in the industry rather than resorting to empirical constitutive models. The rise of data-driven multiscale material modeling opens a major paradigm shift in multiscale computational solid mechanics in the era of material big data. This paper reviews state-of-the-art data-driven methods for multiscale simulation, focusing on data-driven multiscale finite element method (data-driven FE2) and data-driven multiscale finite element-deep material network method (data-driven FE-DMN). Both types of data-driven multiscale methods aim to resolve the past challenge of concurrent multiscale simulation. Numerical examples are designed to demonstrate the effectiveness of data-driven multiscale simulation methods. Future research directions are discussed, including data sampling strategy and data generation technique for the data-driven FE2 method and generalization of data-driven FE-DMN method.
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Tu, Katherine, Clemente Ibarra-Castanedo, Stefano Sfarra, Yuan Yao, and Xavier P. V. Maldague. "Multiscale Analysis of Solar Loading Thermographic Signals for Wall Structure Inspection." Sensors 21, no. 8 (April 16, 2021): 2806. http://dx.doi.org/10.3390/s21082806.

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Infrared thermography has been widely adopted in many applications for material structure inspection, where data analysis methods are often implemented to elaborate raw thermal data and to characterize material structural properties. Herein, a multiscale thermographic data analysis framework is proposed and applied to building structure inspection. In detail, thermograms are first collected by conducting solar loading thermography, which are then decomposed into several intrinsic mode functions under different spatial scales by multidimensional ensemble empirical mode decomposition. At each scale, principal component analysis (PCA) is implemented for feature extraction. By visualizing the loading vectors of PCA, the important building structures are highlighted. Compared with principal component thermography that applies PCA directly to raw thermal data, the proposed multiscale analysis method is able to zoom in on different types of structural features.
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Wen, Weigang, Zhaoyan Fan, Donald Karg, and Weidong Cheng. "Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features." Shock and Vibration 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/167902.

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Nonlinear characteristics are ubiquitous in the vibration signals produced by rolling element bearings. Fractal dimensions are effective tools to illustrate nonlinearity. This paper proposes a new approach based on Multiscale General Fractal Dimensions (MGFDs) to realize fault diagnosis of rolling element bearings, which are robust to the effects of variation in operating conditions. The vibration signals of bearing are analyzed to extract the general fractal dimensions in multiscales, which are in turn utilized to construct a feature space to identify fault pattern. Finally, bearing faults are revealed by pattern recognition. Case studies are carried out to evaluate the validity and accuracy of the approach. It is verified that this approach is effective for fault diagnosis of rolling element bearings under various operating conditions via experiment and data analysis.
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Dissertations / Theses on the topic "Multiscale structural analysi"

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LUONI, PIETRO. "MULTISCALE STRUCTURAL ANALYSIS OF ULTRAMAFIC ROCKS IN THE DIFFERENT STRUCTURAL DOMAINS OF THE ALPS, INTEGRATED WITH PETROLOGY AND GEOCHEMISTRY: A KEY TO UNRAVEL THE GEODYNAMIC INTERPRETATION OF COLLISIONAL BELTS." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/718368.

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In questa tesi si applica un’indagine multidisciplinare guidata dall’analisi strutturale per studiare l’evoluzione tettono-metamorfica di rocce ultrafemiche appartenenti a unità ofiolitiche affiorati nella parte occidentale delle Alpi o intrappolate nel basamento prealpino durante la collisione varisica. L’analisi si focalizza sulla Zona Zermatt-Saas (ZSZ) in alta Valtournanche (AO), al contatto di questa zona e la parte esterna del bordo meridionale della Zona Sesia Lanzo nella Valli del Tesso e del Tessuolo (TO) e nel Massiccio dell’Argentera, in alta Valle Gesso (CN). Le prime due aree si trovano nella Zona Piemontese che include unità derivanti da litosfera oceanica ristrutturate durante la convergenza alpina. L’ultima zona è situata nei Massicci Cristallini Esterni delle Alpi che includono in prevalenza rocce di origine continentale con scarsi relitti di rocce di probabile origine oceanica, ristrutturate e pervasivamente riequilibrate durante il ciclo Varisico. L’analisi meso- e micro-strutturale è stata integrata dall’analisi minero-chimica, dalle stime termo-barometriche e dalla modellazione petrologica delle associazioni di minerali metamorfici all’equilibrio, dalla datazione radiometrica dei fabric e dall’analisi geochimica di micro-domini selezionati. Le serpentinite di Créton in Valtournanche sono state interpretate come una scaglia di litosfera originariamente adiacente alla dorsale medio oceanica della Tetide Alpina, metasomatizzata e percolata da Fe- e Mg-gabbri, che ha raggiunto condizioni di ultra alta pressione (UHP) durante la convergenza Alpina, come registrato dalle associazioni a Ti-chondrodite e Ti-clinohumite, precedentemente allo sviluppo della foliazione di alta pressione, dominante a scala regionale, e datata a 60-70 Ma. Il paragone delle condizioni metamorfiche registrate con un modello numerico di subduzione Alpina ha convalidato l’evoluzione ricostruita e ha permesso di restaurarne la posizione nel sistema di subduzione in funzione dell’evoluzione termo-barica dedotta per queste rocce. La serpentinite di Gias Vej in Valle del Tesso ha registrato un’evoluzione strutturale comune alle rocce ofiolitiche e continentali ad essa adiacenti e ha raggiunto un picco metamorfico eclogitico, come testimoniato dalle paragenesi di alta pressione a Ti-clinohumite, durante la subduzione Alpina. Presso il Lago Brocan dell’alta valle Gesso in Argentera, boudins di serpentinite e diopsidite, associati a boudins di anfibolite e marmi, si trovano avvolti e allineati dalla foliazione migmatitica regionale di età tardo-Varisica. Essi verosimilmente rappresentano, analogamente alle rocce Alpine studiate, i relitti della sutura dell’oceano Reico, riequilibrati in condizioni di alta temperatura-bassa pressione e trasposti durante la collisione Varisica ed il successivo collasso tardo orogenico. In conclusione, i risultati ottenuti mostrano come l’utilizzo integrato di tecniche laboratoriali e modellistiche, basate su un solido lavoro di terreno, possano descrivere e individuare unità tettono-metamorfiche nei domini di affinità oceanica in catene montuose risultanti da uno o più cicli di Wilson e dare un contributo alla ricostruzione delle loro evoluzione geodinamica, anche quando scaglie di crosta oceanica sono frammentate e disperse nella cicatrice profonda di un’antica sutura continentale.
The tectono-metamorphic evolution of serpentinites and associated rocks has been investigated in the Alpine ophiolitic Piemontese Zone (PZ) – in the Zermatt-Saas Zone (ZSZ) and near the Sesia-Lanzo Zone (SLZ) rim – and in the Variscan migmatites of the Argentera External Crystalline Massif (ECM). Materials selected for laboratory work contain sequences of meso- and microstructural imprints containing parts of the tectonic evolution of both mono- and poly-orogenic environments (in our case the Piemontese Zone in the Penninic of the Western Alps and the Argentera EMC – Provençal domain of the Alpine collisional front at the Alpine belt termination within the Western Mediterranean). In the Zermatt-Saas Zone serpentinite of Valtournanche, meso- and microstructural analyses have been coupled with petrological investigation, geochemistry, and radiometric dating. In Valtournanche, Créton serpentinite has been interpreted as a slice of mid-ocean ridge lithosphere, affected by gabbroic percolation and hydrothermalism, deeply involved in the Alpine subduction complex, reaching UHP conditions (2.9-3.3 GPa and 600-630 °C) prior to be exhumed at HP conditions 60-70 Ma and incorporated in a mix of slices of oceanic material of heterogeneous origin and metamorphic evolution. Gias Vej serpentinite registered Eclogite facies conditions and was coupled with slices of continental material at the southern border of the Sesia Lanzo Zone before the record of Pmax conditions. At Lake Brocan in Valle Gesso, remnants of serpentinised spinel lherzolite and diopsidite are suggested to represent a most probable vestigial suture zone of the Rheic Ocean in the External Crystalline Massif of Argentera; this relict survived repeated transpositions and dismembering during migmatisation of the deep Variscan crust related to Variscan continental collision. The obtained results indicate that investigation of ultramafic rocks by a structure-driven multidisciplinary approach, can unravel the most complete memory of the divergent and convergent tectonic evolution of old oceans. Similar investigation strategies of laboratory procedures, based on solid structural fieldwork, may more diffusely support circumscription of tectonic units in ocean-derived sequences and contribute to redefine their translational tectonic trajectories during mountain-building processes.
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Petracca, Massimo. "Computational multiscale analysis of masonry structures." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/393942.

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Masonry is an ancient building material that has been used throughout the history, and it is still used nowadays. Masonry constitutes the main building technique adopted in historical constructions, and a deep understanding of its behavior is of primary importance for the preservation of our cultural heritage. Despite its extensive usage, masonry has always been used following a trial and error approach and rules-of-thumb, due to a poor understanding of the complex mechanical behavior of such a composite material. Advanced numerical methods are therefore attractive tools to understand and predict the behavior of masonry up to and including its complete failure, allowing to estimate the residual strength and safety of structures. Several numerical methods have been proposed in recent years, either based on a full micro-modeling of masonry constituents, or on phenomenological macro models. In-between these two approaches, computational homogenization techniques have recently emerged as a promising tool joining their advantages. The problem is split into two scales: the structural scale is treated as an equivalent homogeneous medium, while the complex behavior of the heterogeneous micro-structure is taken into account solving a micro-scale problem on a representative sample of the micro-structure. The aim of this research is the development of a computational multiscale homogenization technique for the analysis of masonry structure, subjected to quasi-static in-plane and out-of-plane loadings. Classical Cauchy continuum theory is used at both scales, thus using the so-called first order computational homogenization. Due to the brittle nature of masonry constituents, particular attention is given to the problem of strain localization. In this context, the present research proposes an extension of the fracture-energy-based regularization to the two-scale homogenization problem, allowing the use of first order computational homogenization in problems involving strain localization. The method is first stated for the standard continuum case, and it is applied to the two-dimensional analysis of in-plane loaded shear walls made of periodic brick masonry. Then, the aforementioned method is extended to the case of shell structures for the analysis of out-of-plane loaded masonry walls. For this purpose, a novel homogenization technique based on thick shell theory is developed. Both in the in-plane and in the out-of-plane loading conditions, the accuracy of the proposed method is validated comparing it with experimental evidences and with micro-model analyses. The regularization properties are also assessed. The obtained results show how computational homogenization is an ideal tool for an accurate evaluation of the structural response of masonry structures, accounting for the complex behavior of its micro-structure.
La obra de fábrica es un material de construcción tradicional que ha sido utilizado a lo largo de la historia y que sigue siendo utilizado hoy en día. La obra de fábrica constituye la principal técnica de construcción adoptada en estructuras históricas, y una comprensión profunda de su comportamiento es de vital importancia para la conservación de nuestro patrimonio cultural. A pesar de su amplio uso, la obra de fábrica ha sido utilizada frecuentemente adoptando un enfoque empírico, debido a un escaso conocimiento del comportamiento mecánico complejo de este tipo de material compuesto. Los métodos numéricos avanzados son herramientas atractivas para entender y predecir el comportamiento de la obra de fábrica hasta su fallo, permitiendo estimar la resistencia residual y la seguridad de las estructuras. Durante los últimos años, han sido propuestos diferentes modelos computacionales, basados bien en una micro-modelización completa de los constituyentes del material (ladrillos y juntas de mortero), o bien en macro-modelos fenomenológicos. A partir de estos dos enfoques, los métodos de homogenización computacional han emergido recientemente como una herramienta prometedora que puede combinar las ventajas de la micro- y macro-modelización. El problema se divide en dos pasos: la escala estructural se trata como un medio homogéneo equivalente, mientras el comportamiento complejo de la microestructura heterogénea se tiene en cuenta mediante la resolución de un problema micro-mecánico reconducible a una muestra representativa de la microestructura. El objetivo de esta investigación es el desarrollo de una técnica de homogenización computacional multi-escala para el análisis de estructuras de obra de fábrica sometidas a cargas horizontales cuasi-estáticas que actúan en el plano y fuera del plano. Se adopta la teoría clásica del medio continuo de Cauchy en ambas las escalas, utilizando así la homogeneización computacional del primer orden. Debido a la naturaleza frágil de los componentes de la obra de fábrica, el estudio contempla también el problema de la localización de la deformación en el marco del enfoque numérico de fisura distribuida. En este contexto, la presente investigación propone una extensión de la regularización basada en la energía de fractura para el problema de homogenización en dos escalas, permitiendo el uso de la homogenización computacional del primer orden en problemas que implican la localización de la deformación. El método se plantea en primer lugar para el caso continuo general, y a continuación se aplica al análisis de muros de corte cargados en su plano y hechos de fábrica de ladrillos con aparejo periódico. Posteriormente, el método se extiende al caso de estructuras tipo placa para el análisis de muros de obra de fábrica cargados fuera de su plano. Para este propósito, se desarrolla una nueva técnica de homogenización basada en la teoría de placas gruesas. En ambos los casos de carga en el plano y fuera del plano, la precisión del método propuesto se valida mediante la comparación con ensayos experimentales y análisis de micro-modelización. También se validan las propiedades de regularización. Los resultados obtenidos muestran cómo la homogeneización computacional pueda resultar una herramienta válida para una evaluación precisa de la respuesta estructural de las estructuras de obra de fábrica, teniendo en cuenta el comportamiento complejo de la micro-estructura.
La muratura è un antico materiale da costruzione che è stato utilizzato in special modo nel corso della storia, ma che è ancora oggi piuttosto diffuso. La muratura è la tecnica principale di costruzione adottata in edifici storici, e una profonda comprensione del suo comportamento è di vitale importanza per la conservazione del nostro patrimonio culturale. Nonostante il suo ampio utilizzo, la muratura è sempre stata utilizzata seguendo un approccio empirico, a causa di una scarsa comprensione del complesso comportamento meccanico di tale materiale composito. I metodi numerici avanzati sono, quindi, strumenti attraenti per studiare e comprendere il comportamento della muratura fino al suo collasso, permettendo di stimare la resistenza residua e la sicurezza delle strutture. Diversi metodi numerici sono stati proposti negli ultimi anni, basati o sulla completa micro-modellazione dei componenti della muratura (mattoni e giunti di malta), o su macro-modelli fenomenologici. A metà strada tra questi due approcci, le tecniche di omogeneizzazione computazionale sono emerse recentemente come uno strumento promettente che unisce i vantaggi della micro- e macromodellazione. Il problema viene diviso in due scale: la scala strutturale viene trattata come un mezzo omogeneo equivalente, mentre il complesso comportamento della microstruttura eterogenea viene preso in considerazione risolvendo un problema di micro-scala su un volume rappresentativo della microstruttura. Lo scopo di questa ricerca è lo sviluppo di una tecnica di omogeneizzazione computazionale multiscala per l’analisi di strutture in muratura, sottoposte a carichi orizzontali quasi-statici agenti nel piano e fuori dal piano. La teoria classica del continuo di Cauchy è adottata in entrambe le scale, utilizzando quindi la cosiddetta omogeneizzazione computazionale del primo ordine. A causa della natura fragile dei costituenti della muratura, particolare attenzione viene dedicata al problema della local-izzazione delle deformazioni nel modello numerico a danneggiamento distribuito. In questo contesto, la presente ricerca propone un’estensione della regolarizzazione basata sull’energia di frattura al problema di omogeneizzazione a due scale, permettendo l’uso dell’omogeneizzazione computazionale di primo ordine in problemi che coinvolgono localizzazione delle deformazioni. Il metodo viene prima impostato per il caso continuo generale, e viene in seguito applicato all’analisi bidimensionale di pareti a taglio, caricate nel piano, fatte di muratura di mattoni a disposizione periodica. Poi, il suddetto metodo viene esteso al caso di strutture tipo piastra per l’analisi di pareti in muratura caricate fuori dal piano. A questo scopo, si sviluppa una nuova tecnica di omogeneizzazione basata sulla teoria delle piastre spesse. In entrambi i casi di carico nel piano e fuori dal piano, l’accuratezza del metodo proposto è validata mediante il confronto con evidenze sperimentali e con analisi di micro-modellazione. Allo stesso modo, le proprietà di regolarizzazione vengono validate. I risultati ottenuti evidenziano come l’omogeneizzazione computazionale sia uno strumento valido per una valutazione accurata della risposta strutturale delle strutture in muratura, tenendo conto del comportamento complesso della sua microstruttura.
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Unnikrishnan, Vinu Unnithan. "Multiscale analysis of nanocomposite and nanofibrous structures." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1469.

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Kayastha, Shilva. "New methods of multiscale chemical space analysis : visualization of structure-activity relationships and structural pattern extraction." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAF042/document.

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Cette thèse est dédiée à l’analyse systématique de l’espace chimique, et des relations structure-activité (SAR) en particulier. L’ouvrage présente des nouveaux protocoles d’analyse combinant des méthodes classiques et originales, dans le but d’analyser les SAR à l’échelle globale ainsi que locale. L’analyse globale des espaces chimiques repose sur la recherche des motifs structuraux privilégiés par cartographie topographique générative (GTM), ainsi que par analyse classique des « châssis » moléculaires. La cartographie a été ensuite couplée avec l’analyse de réseaux chimiques (CSN), permettant une transition de la vue globale vers l’analyse locale de SAR. L’optimisation mutiobjectif des propriétés de potentiels médicaments a été adressé par la méthode « star coordinates ». L’analyse locale des SAR inclut des nouvelles stratégies pour prédire les discontinuités dans le paysage structure-activité biologique, et une étude de l’impact de la structure sur l’ionisation des molécules. Des matrices SAR ont servi pour monitorer le progrès dans l’optimisation de nouveaux principes actifs
This thesis presents studies devoted to aid in systematic analysis of chemical spaces, focusing on mining and visualization of structure-activity relationships (SARs). It reports some new analysis protocols, combining both existing and on-purpose developed novel methodology to address both large-scale and local SAR analysis. Large-scale analysis featured both generative topographic mapping (GTM)-based extraction of privileged structural motifs and scaffold analysis. GTM was combined with chemical space network (CSN) to develop a visualization tool providing global-local views of SAR in large data sets. We also introduce star coordinates (STC) to visualize multi-property space and prioritize drug-like subspaces. Local SAR monitoring includes new strategies to predict activity cliffs using support vector machine models and a study of structural modifications on ionization state of compounds. The SAR matrix methodology was applied to objectively evaluate SAR progression during lead optimization
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Casadei, Filippo. "Multiscale analysis of wave propagation in heterogeneous structures." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44889.

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The analysis of wave propagation in solids with complex microstructures, and local heterogeneities finds extensive applications in areas such as material characterization, structural health monitoring (SHM), and metamaterial design. Within continuum mechanics, sources of heterogeneities are typically associated to localized defects in structural components, or to periodic microstructures in phononic crystals and acoustic metamaterials. Numerical analysis often requires computational meshes which are refined enough to resolve the wavelengths of deformation and to properly capture the fine geometrical features of the heterogeneities. It is common for the size of the microstructure to be small compared to the dimensions of the structural component under investigation, which suggests multiscale analysis as an effective approach to minimize computational costs while retaining predictive accuracy. This research proposes a multiscale framework for the efficient analysis of the dynamic behavior of heterogeneous solids. The developed methodology, called Geometric Multiscale Finite Element Method (GMsFEM), is based on the formulation of multi-node elements with numerically computed shape functions. Such shape functions are capable to explicitly model the geometry of heterogeneities at sub-elemental length scales, and are computed to automatically satisfy compatibility of the solution across the boundaries of adjacent elements. Numerical examples illustrate the approach and validate it through comparison with available analytical and numerical solutions. The developed methodology is then applied to the analysis of periodic media, structural lattices, and phononic crystal structures. Finally, GMsFEM is exploited to study the interaction of guided elastic waves and defects in plate structures.
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Gigliotti, Luigi. "Multiscale analysis of damage-tolerant composite sandwich structures." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/32365.

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Composite sandwich structures are widely regarded as a cost/weight-effective alternative to conventional composite stiffened panels and are extensively utilized for lightweight applications in various sectors, including the aeronautical, marine and transport industries. Nevertheless, their damage tolerance remains a critical issue. This work aims to develop reliable analytical and numerical tools for the design of damage-tolerant advanced foam-cored composite sandwich structures for aerospace applications. It comprises of original experimental observations together with novel numerical and analytical developments, as detailed below. A novel analytical model for predicting the post-crushing response of crushable sandwich foam cores is presented. The calibration of the model is performed using experimental data obtained exclusively from standard monotonic compressive tests. Hence, the need for performing time-consuming compressive tests including multiple unloading-reloading cycles is avoided. Subsequently, the translaminar initiation fracture toughness of a carbon-epoxy Non-Crimp Fabric (NCF) composite laminate is measured. The translaminar fracture toughness of the UD fibre tows is related to that of the NCF laminate and the concept of an homogenised blanket-level translaminar fracture toughness was introduced. A multiple length/time-scale framework for the virtual testing of large composite structures is presented. Such framework hinges upon a novel Mesh Superposition Technique (MST) and a novel set of Periodic Boundary Conditions named Multiscale Periodic Boundary Conditions (MPBCs). The MST is used for coupling different areas of the composite structure modelled at different length-scales and whose discretizations consist of different element types. Unlike using a sudden discretization-transition approach, the use of the MST eliminates the undesirable stress disturbances at the interface between differently-discretized subdomains and, as a result, it for instance correctly captures impact-induced damage pattern at a lower computational cost. The MPBCs apply to reduced Unit Cells (rUCs) and enable the two-scale (solid-to- shell) numerical homogenization of periodic structures, including their bending and twisting response. The MPBCs allow to correctly simulate the mechanical response of periodic structures using rUCs (same results as if conventional UCs were used), thus enabling a significant reduction of both modelling/meshing and analysis CPU times. The developments detailed above are finally brought together in a realistic engineering application.
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7

CRIPPA, CHIARA. "Regional and local scale analysis of very slow rock slope deformations integrating InSAR and morpho-structural data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/306309.

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Le deformazioni lente di versante in roccia (DGPV e grandi frane) sono fenomeni diffusi che interessano interi versanti e mobilizzano volumi di roccia anche di miliardi di metri cubi. La loro evoluzione è legata a processi di rottura progressiva sotto forzanti esterne e di accoppiamento idromeccanico, rispecchiate da un complesso processo di creep. Sebbene caratterizzate da bassi tassi di spostamento (fino a pochi cm / anno), queste instabilità di versante danneggiano infrastrutture e ospitano settori potenzialmente soggetti a differenziazione e collasso catastrofico. È quindi necessaria una robusta caratterizzazione del loro stile di attività per determinare il potenziale impatto sugli elementi a rischio e anticipare un eventuale collasso. Tuttavia una metodologia di analisi finalizzata a questo scopo è ancora mancante. In questa prospettiva, abbiamo sviluppato un approccio multiscala che integra dati morfostrutturali, di terreno e tecniche DInSAR, applicandoli allo studio di un inventario di 208 deformazioni lente di versanti mappate in Lombardia. Su questo dataset abbiamo eseguito una mappatura geomorfologica e morfostrutturale di semi dettaglio tramite immagini aeree e DEM. Abbiamo quindi sviluppato un pacchetto di procedure oggettive per lo screening su scala di inventario delle deformazioni lente di versante integrando dati di velocità di spostamento, cinematica e di danneggiamento dell’ammasso roccioso per ogni frana. Utilizzando dataset PS-InSAR e SqueeSAR, abbiamo sviluppato una procedura mirata a identificare in maniera semiautomatica la velocità InSAR rappresentativa, il grado di segmentazione e l'eterogeneità interna di ogni frana mappata identificando la presenza di possibili fenomeni secondari. Utilizzando la tecnica 2DInSAR e tecniche di machine learning, abbiamo inoltre sviluppato un approccio automatico caratterizzare la cinematica di ciascuna frana. I dati così ottenuti sono stati integrati tramite analisi di PCA e K-medoid per identificare gruppi di frane caratterizzati da stili di attività simili. Partendo dai risultati della classificazione su scala regionale, ci siamo poi concentrati su 3 casi di studio emblematici, le DGPV di Corna Rossa, Mt. Mater e Saline, rappresentativi di problematiche tipiche delle grandi frane (segmentazione spaziale, attività eterogenea, sensibilità alle forzanti idrologiche). Applicando un approccio DInSAR mirato abbiamo indagato la risposta del versante a diverse baseline temporali per evidenziare le eterogeneità spaziali e, tramite un nuovo approccio di stacking su basline temporali lunghe abbiamo estrattoi segnali di spostamento permanenti ed evidenziato i settori e le strutture con evoluzione differenziale. Lo stesso approccio DInSAR è stato utilizzato per studiare la sensibilità delle deformazioni lente di versante alle forzanti idrologiche. Il confronto tra i tassi di spostamento stagionale e le serie temporali di precipitazioni e scioglimento neve per il monte. Mater e Saline hanno delineato complessi trend di spostamento stagionale. Queste tendenze, più evidenti per i settori più superficiali, evidenziano una risposta maggiore a periodi prolungati di precipitazione modulati dagli effetti dello scioglimento della neve. Ciò suggerisce che le DGPV, spesso considerate non influenzate dalla forzante climatica a breve termine (pluriennale), sono sensibili a input idrologici, con implicazioni chiave nell'interpretazione del loro fallimento progressivo. I nostri risultati hanno dimostrato l'efficacia della metodologia multi-scala proposta, che sfrutta i prodotti DInSAR e l'analisi mirata per identificare, classificare e caratterizzare l'attività delle deformazioni lente di versante includendo dati geologici in tutte le fasi dell'analisi. Il nostro approccio, è applicabile a diversi contesti e dataset e fornisce gli strumenti per indagare processi chiave in uno studio finalizzato alla definizione del rischio connesso alle deformazioni lente di versante.
Slow rock slope deformations (DSGSDs and large landslides) are widespread, affect entire hillslopes and displace volumes up to billions of cubic meters. They evolve over long time by progressive failure processes, under variable climatic and hydro-mechanical coupling conditions mirrored by a complex creep behaviour. Although characterized by low displacement rates (up to few cm/yr), these slope instabilities damage sensitive structures and host nested sectors potentially undergoing rockslide differentiation and collapse. A robust characterization of the style of activity of slow rock slope deformations is required to predict their interaction with elements at risk and anticipate possible failure, yet a comprehensive methodology to this aim is still lacking. In this perspective, we developed a multi-scale methodology integrating geomorphological mapping, field data and different DInSAR techniques, using an inventory of 208 slow rock slope deformations in Lombardia (Italian Central Alps), for which we performed a geomorphological and morpho-structural mapping on aerial images and DEMs. On the regional scale, we developed an objective workflow for the inventory-scale screening of slow-moving landslides. The approach is based on a refined definition of activity that integrates the displacement rate, kinematics and degree of internal damage for each landslide. Using PS-InSAR and SqueeSAR datasets, we developed an original peak analysis of InSAR displacement rates to characterize the degree of segmentation and heterogeneity of mapped phenomena, highlight the occurrence of sectors with differential activity and derive their characteristic displacement rates. Using 2DInSAR velocity decomposition and machine learning classification, we set up an original automatic approach to characterize the kinematics of each landslides. Then, we sequentially combine PCA and K-medoid cluster analysis to identify groups of landslides characterized by consistent styles of activity, accounting for all the relevant aspects including velocity, kinematics, segmentation, and internal damage. Starting from the results of regional-scale classification, we focused on the Corna Rossa, Mt. Mater and Saline DSGSDs, that are emblematic case studies on which apply DInSAR analysis to investigate typical issues in large landslide studies (spatial segmentation, heterogenous activity, sensitivity to hydrological triggers). We applied a targeted DInSAR technique on multiple temporal baselines to unravel the spatial heterogeneities of complex DSGSDs and through a novel stacking approach on raw long temporal baseline interferograms, we outlined the permanent displacement signals and sectors with differential evolution as well as individual active structures. We then used DInSAR to investigate the possible sensitivity of slow rock slope deformations to hydrological triggers. Comparison between seasonal displacement rates, derived by interferograms with targeted temporal baselines, and time series of precipitation and snowmelt at the Mt. Mater and Saline ridge outlined complex temporally shifted seasonal displacement trends. These trends, more evident for shallower nested sectors, outline dominant controls by prolonged precipitation periods modulated by the effects of snowmelt. This suggests that DSGSDs, often considered insensitive to short-term (pluri-annual) climatic forcing, may respond to hydrological triggering, with key implication in the interpretation of their progressive failure. Our results demonstrated the effectiveness of the proposed multi-scale methodology that exploits DInSAR products and targeted processing to identify, classify and characterize the activity of slow rock slope deformation at different levels of details by including geological data in all the analysis stages. Our approach, readily applicable to different settings and datasets, provides the tools to solve key scientific issues in a geohazard-oriented study of slow rock slope deformations.
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Honorio, de Faria Tulio. "Modelling Concrete Behaviour At Early-Age : Multiscale Analysis And Simulation Of A Massive Disposal Structure." Thesis, Cachan, Ecole normale supérieure, 2015. http://www.theses.fr/2015DENS0045/document.

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La prédiction précise du comportement à long et court terme des structures en béton dans le domaine nucléaire est essentielle pour assurer des performances optimales (intégrité, capacité de confinement) pendant leur durée de vie. Dans le cas particulier des structures massives en béton, la chaleur produite au jeune âge par les processus d'hydratation ne peut pas s’évacuer rapidement, si bien que des températures élevées peuvent être atteintes et les gradients de température qui en résultent peuvent conduire à la fissuration, en fonction des conditions aux limites et contraintes internes auxquelles ces structures sont soumises. Les objectifs de cette étude sont (1) d'effectuer des simulations numériques afin de décrire et prédire le comportement thermo-chimio-mécanique au jeune âge d'une structure massive en béton dédiée au stockage de déchets en surface, et (2) de développer et appliquer des outils de changement d'échelle pour estimer rigoureusement, à partir de la composition du matériau, les propriétés physiques du béton nécessaires à une analyse au jeune âge. Une étude chimio-thermique visant à déterminer l'influence de la convection, du rayonnement solaire, du re-rayonnement et de la chaleur d'hydratation sur la réponse thermique de la structure est tout d’abord menée. Des recommandations pratiques concernant les températures de bétonnage sont fournies afin de limiter la température maximale atteinte au sein de la structure. Ensuite, au moyen d'une analyse mécanique, des stratégies de modélisation simplifiées et plus complexes (prenant en compte l’endommagement couplé au fluage) sont mises en œuvre pour évaluer des scénarios intégrant différentes conditions aux limites issues de l'analyse chimio-thermique précédente. Dans un second temps, une étude prenant en compte le caractère multi-échelle du béton est réalisée. Un modèle simplifié de cinétique d'hydratation du ciment est proposé. Les évolutions des fractions volumiques des différentes phases au niveau de la pâte de ciment peuvent être alors estimées. Par la suite des outils d’homogénéisation analytiques et numériques développés dans un cadre vieillissant sont présentés et appliqués pour estimer les propriétés mécaniques et thermiques des matériaux cimentaires. Les données d’entrée utilisées dans l'analyse structurelle sont finalement comparées avec les estimations obtenues dans l'analyse multiéchelle. Pour conclure, la stratégie proposée dans cette thèse vise à prédire le comportement des structures massives en béton à partir de la composition du béton au moyen d'une approche séquentielle: le comportement du béton est estimé via les outils de changement d’échelle, fournissant ainsi les données d'entrée pour l'analyse phénoménologique à l’échelle de la structure
The accurate prediction of the long and short-term behaviour of concrete structures in the nuclear domain is essential to ensure optimal performances (integrity, containment roperties) during their service life. In the particular case of massive concrete structures, at early age the heat produced by hydration reactions cannot be evacuated fast enough so that high temperatures may be reached and the resulting gradients of temperature might lead to cracking according to the external and internal restraints to which the structures are subjected. The goals of this study are (1) to perform numerical simulations in order to describe and predict the thermo-chemo-mechanical behaviour at early-age of a massive concrete structure devoted to nuclear waste disposal on surface, and (2) to develop and apply upscaling tools to estimate rigorously the key properties of concrete needed in an early-age analysis from the composition of the material. Firstly, a chemo-thermal analysis aims at determining the influence of convection, solar radiation, reradiation and hydration heat on the thermal response of the structure. Practical recommendations regarding concreting temperatures are provided in order to limit the maximum temperature reached within the structure. Then, by means of a mechanical analysis, simplified and more complex (i.e. accounting for coupled creep and damage) modelling strategies are used to assess scenarios involving different boundary conditions defined from the previous chemo-thermal analysis. Secondly, a study accounting for the multiscale character of concrete is performed. A simplified model of cement hydration kinetics is proposed. The evolution of the different phases at the cement paste level can be estimated. Then, analytical and numerical tools to upscale the ageing properties are presented and applied to estimate the mechanical and thermal properties of cementbased materials. Finally, the input data used in the structural analysis are compared with the estimations obtained in the multiscale analysis. To conclude, the entire strategy proposed in this thesis aims at predicting the behaviour of massive concrete structures from the composition of the concrete by means of a sequenced approach: concrete behaviour is estimated using the upscaling tools, providing then the input data to the phenomenological analysis at the structure level
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Lutz, Benjamin [Verfasser], and W. [Akademischer Betreuer] Wenzel. "Multiscale Simulation and Analysis of Structured Ribonucleic Acids / Benjamin Lutz. Betreuer: W. Wenzel." Karlsruhe : KIT-Bibliothek, 2014. http://d-nb.info/1054397236/34.

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Ramalho, Geraldo Luis Bezerra. "AnÃlise de imagens por meio da matriz de interdependÃncia e da transformaÃÃo estrutural multiescala." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11079.

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nÃo hÃ
A anÃlise de imagens à uma tarefa fundamental em visÃo computacional. Ela influencia o desenvolvimento de algoritmos de processamento digital de imagens e as abordagens de avaliaÃÃo dos resultados produzidos por estes algoritmos. Esta tese introduz uma metodologia para a anÃlise estrutural de imagens baseada no uso combinado de uma transformaÃÃo estrutural multiescala e da extraÃÃo de caracterÃsticas estruturais por meio da matriz de interdependÃncia espacial. A transformaÃÃo estrutural multiescala à um algoritmo baseado no arcabouÃo da morfologia matemÃtica que mapeia os nÃveis de cinza da imagem de entrada para um espaÃo no qual esses nÃveis de cinza estÃo reagrupados em diferentes escalas de estruturas que formam os objetos. A transformaÃÃo pode ser aplicada no realce de imagens em nÃveis de cinza e na decomposiÃÃo de imagens binÃrias em estruturas elementares. A matriz de interdependÃncia espacial à um algoritmo baseado na estatÃstica de coocorrÃncia que produz uma representaÃÃo global das coincidÃncias das estruturas de duas imagens de entrada. Essa matriz provà quatro atributos, a saber, correlaÃÃo, momento de diferenÃa inverso, coeficiente chi-quadrado e entropia, os quais podem ser utilizados como descritores globais das estruturas da imagem. A metodologia proposta à validada com os resultados obtidos para diferentes aplicaÃÃes: a deteÃÃo de corrosÃo atmosfÃrica em fotografias de superfÃcies metÃlicas, a deteÃÃo de doenÃas pulmonares em imagens de tomografia computadorizada, a avaliaÃÃo referenciada da qualidade da imagens, a segmentaÃÃo dos vasos da retina em retinografias e a avaliaÃÃo da qualidade de algoritmos de segmentaÃÃo de vasos de retina.
Image analysis is a fundamental task in computer vision. It influences the development of algorithms for digital image processing and approaches for evaluating the results produced by these algorithms. This thesis introduces a methodology for the structural analysis of images based on the combined use of a multiscale structural transformation and extraction of structural features through spatial interdependence matrix. The multiscale structural transformation is an algorithm based on mathematical morphology framework that maps the gray levels of the input image into a space in which these gray levels are grouped into different scales of structures that form objects. The transformation can be applied in enhancement of gray level images and decomposition of binary images into elementary structures. The spatial interdependence matrix is an algorithm based on cooccurrence statistics that produces a global representation of the structural coincidences of two images. This matrix provides four attributes, namely, correlation, inverse difference moment, chi-square coefficient and entropy, which can be used as global descriptors of the image structures. The proposed methodology is validated with the results obtained for different applications: the detection of atmospheric corrosion of metal surfaces in photographs, the detection of lung disease in computerized tomography images, the referenced evaluation of image quality, the segmentation of retinal vessels in retinography and the quality assessment of retinal vessels segmentation algorithms.
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Books on the topic "Multiscale structural analysi"

1

Watson, Alexander Bruce. Wave dynamics in locally periodic structures by multiscale analysis. [New York, N.Y.?]: [publisher not identified], 2017.

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S, Ahzi, and International Union of Theoretical and Applied Mechanics., eds. IUTAM Symposium on Multiscale Modeling and Characterization of Elastic-Inelastic Behavior of Engineering Materials: Proceedings of the IUTAM Symposium held in Marrakech, Morocco, 20-25 October 2002. Dordrecht: Kluwer Academic, 2004.

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Chuang, T. J., and J. W. Rudnicki. Multiscale deformation and fracture in materials and structures: The James R. Rice 60th anniversary volume. New York: Kluwer Academic Publishers, 2002.

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J, Chuang T., Rudnicki J. W, and Rice J. R, eds. Multiscale deformation and fracture in materials and structures: The James R. Rice 60th anniversary volume. Dordrecht: Kluwer Academic Publishers, 2001.

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Oztop, Muin S. Multiscale Experimental Analysis in Plasticity: Linking Dislocation Structures to Continuum Fields. [New York, N.Y.?]: [publisher not identified], 2011.

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Habib, Ammari, Capdeboscq Yves 1971-, and Kang Hyeonbae, eds. Multi-scale and high-contrast PDE: From modelling, to mathematical analysis, to inversion : Conference on Multi-scale and High-contrast PDE:from Modelling, to Mathematical Analysis, to Inversion, June 28-July 1, 2011, University of Oxford, United Kingdom. Providence, R.I: American Mathematical Society, 2010.

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Wriggers, Peter, Olivier Allix, and Jurica Sorić. Multiscale Modeling of Heterogeneous Structures. Springer, 2018.

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Wriggers, Peter, Olivier Allix, and Jurica Sorić. Multiscale Modeling of Heterogeneous Structures. Springer, 2018.

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(Editor), S. Ahzi, M. Cherkaoui (Editor), M. A. Khaleel (Editor), H. M. Zbib (Editor), M. A. Zikry (Editor), and B. LaMatina (Editor), eds. IUTAM Symposium on Multiscale Modeling and Characterization of Elastic-Inelastic Behavior of Engineering Materials (Solid Mechanics and Its Applications). Springer, 2004.

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(Editor), T.-J. Chuang, and J. W. Rudnicki (Editor), eds. Multiscale Deformation and Fracture in Materials and Structures: The James R. Rice 60th Anniversary Volume (Solid Mechanics and Its Applications). Springer, 2001.

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Book chapters on the topic "Multiscale structural analysi"

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Fish, Jacob, Mark S. Shephard, and Mark W. Beall. "Automated Multiscale Fracture Analysis." In IUTAM Symposium on Discretization Methods in Structural Mechanics, 249–56. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4589-3_29.

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Langer, W. D., R. W. Wilson, C. H. Anderson, and A. Castets. "Multiscale structural analysis of perseus." In Lecture Notes in Physics, 112–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0102103.

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Khoroshev, Alexander V. "Multiscale Analysis of Landscape Structure." In Landscape Series, 235–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31185-8_16.

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Hugues, Etienne, Juan R. Vidal, Jean-Philippe Lachaux, and Gustavo Deco. "Brain Dynamics at Rest: How Structure Shapes Dynamics." In Multiscale Analysis and Nonlinear Dynamics, 233–43. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527671632.ch10.

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Zupan, N., and J. Korelc. "Unified Approach to Sensitivity Analysis Based Automation of Multi-scale Modelling." In Multiscale Modeling of Heterogeneous Structures, 113–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65463-8_6.

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Desbrun, Mathieu, Roger D. Donaldson, and Houman Owhadi. "Modeling Across Scales: Discrete Geometric Structures in Homogenization and Inverse Homogenization." In Multiscale Analysis and Nonlinear Dynamics, 19–64. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527671632.ch02.

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Unnikrishnan, V. U., G. U. Unnikrishnan, and J. N. Reddy. "Multiscale Computational Analysis of Biomechanical Systems." In IUTAM Symposium on Multi-Functional Material Structures and Systems, 123–31. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3771-8_13.

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Giorgio, Ivan, Luca Placidi, Emilio Barchiesi, Bilen Emek Abali, and Holm Altenbach. "Correction to: Theoretical Analyses, Computations, and Experiments of Multiscale Materials." In Advanced Structured Materials, C1. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04548-6_33.

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Ballarini, Roberto. "Continuum analyses of structures containing cracks." In Materiomics: Multiscale Mechanics of Biological Materials and Structures, 121–49. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1574-9_7.

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Bruno, Domenico, Fabrizio Greco, Lorenzo Leonetti, and Paolo Lonetti. "A Concurrent Multiscale Model for Crack Propagation Analysis in Composite Materials." In Springer Series in Solid and Structural Mechanics, 125–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48884-4_6.

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Conference papers on the topic "Multiscale structural analysi"

1

Jeong, Joonho, and Maenghyo Cho. "Multiscale Analysis of Micro/Nano Size Honeycomb Structures." In 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-2061.

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ZHAO, BANGHUA, and WENBIN YU. "Multiscale Structural Analysis of Honeycomb Sandwich Structure Using Mechanics of Structure Genome." In American Society for Composites 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/asc2017/15171.

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Shin, Hyunseong, Wonbae Kim, Junghyun Ryu, Seongmin Chang, and Maenghyo Cho. "Multiscale analysis of polymer nanocomposites considering hyperelasto-plastic behavior." In 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0647.

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Ghaffari, Mir Ali, and Shaoping Xiao. "Fatigue Crack Initiation Analysis of Roller Bearing Using Multiscale modeling." In 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0970.

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Sertse, Hamsasew, and Wenbin Yu. "Multiscale Elasto-Plastic and Failure Analysis of Metal Matrix Composite." In 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0565.

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Yuan, Chongxi, and Xingchen Liu. "Fast Two-Scale Analysis via Clustering." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-68633.

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Abstract Both man-made and natural materials exhibit heterogeneous properties at smaller observation scales. The multiscale analysis allows the inclusion of fine-scale information in coarse-scale simulations. One of the commonly used methods is homogenization, replacing the detailed fine-scale structures with their locally homogeneous effective material properties. When fine-scale material structures are stationary, representative volume elements (RVE) are often identified for their effective material properties to be applied over the entire structure. However, in non-stationary material structures, it is inappropriate to assume a single representative material. In this case, homogenization is often required for every individual cell, resulting in significant increases in computational cost. We propose a stiffness-based clustering algorithm that reduces the total number of homogenization computations needed for multiscale analysis. Cells with similar effective stiffness tensors are clustered together such that only a single homogenization is required for each cluster. Specifically, the clustering algorithm is based on the novel concept of Eigenstiffness, which represents the relative directional stiffness of a given material structure. The rotation invariant property of Eigenstiffness allows material structure with similar intrinsic stiffness but different orientations to be clustered together, further decreasing the number of clusters required for the multiscale analysis. Without a priori knowledge of the accurate homogenized material properties, approximated elasticity tensors and Eigenstiffness estimated through FFT-based homogenization methods are used for rapid clustering. The effectiveness of the method is verified by numerical simulations on various multiscale structures, including Voronoi foams and fiber-reinforced composites.
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Shin, Hyunseong, Seongmin Chang, Seunghwa Yang, and Maenghyo Cho. "Stochastic multiscale analysis considering the uncertainties in MD simulation and manufacture." In 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-1905.

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Rhee, Seung Yun, and Maenghyo Cho. "Concurrent multiscale analysis using higher order Cauchy-Born rules." In 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
14th AIAA/ASME/AHS Adaptive Structures Conference
7th. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-2118.

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Trautschold, Olivia, and Andy Dong. "Additive Manufacturability Analysis of Multiscale Aperiodic Structures: a Statistical Mechanics Approach." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89741.

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Abstract Discrete, rule-based approaches to design for additive manufacturing can be inadequate or prohibitively complex for predicting the geometric fidelity of multiscale aperiodic structures that lack a representative volume element. In this paper, we introduce heuristics based upon statistical mechanics to assist in additive manufacturability analysis. The heuristics are derived from the following topological properties of complex network representations of the geometry of multiscale aperiodic structures: giant component size, node degree, average shortest path length, and robustness. We apply these heuristics to the design and additive manufacture of crumpled thin sheets, selected for their multiscale aperiodicity and reproducible statistical properties. Manufacturability is assessed by comparing these topo-logical network properties between a computationally designed crumpled structure and a microCT scan of an additively manufactured crumpled structure. Dimensionality reduction is performed on each network representation to balance spatial noise reduction and information loss. Consistent with expectations, the heuristics and topological properties show that crumpled structures at higher compaction levels are more readily manufactured. The results show the significance of statistical mechanics in providing insight into the additive manufacturability of multiscale aperiodic structures. We conclude by discussing the generality of this approach for alternative geometries and provide designers with a framework for interpreting manufacturability from a statistical mechanics perspective.
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Swan, Colby, and HyungJoo Kim. "Multiscale Unit Cell Analysis of Textile-Reinforced Composites' Strength and Stiffness Characteristics." In 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-1613.

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Reports on the topic "Multiscale structural analysi"

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Oskay, Caglar. Structural Technology Evaluation and Analysis Program (STEAP). Delivery Order 0046: Multiscale Modeling of Composite Structures Subjected to Cyclic Loading. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada572212.

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Oden, J. T. Modeling and Computational Analysis of Multiscale Phenomena in Fluid-Structure Interaction Problems. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada248723.

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Sparks, Paul, Jesse Sherburn, William Heard, and Brett Williams. Penetration modeling of ultra‐high performance concrete using multiscale meshfree methods. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41963.

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Terminal ballistics of concrete is of extreme importance to the military and civil communities. Over the past few decades, ultra‐high performance concrete (UHPC) has been developed for various applications in the design of protective structures because UHPC has an enhanced ballistic resistance over conventional strength concrete. Developing predictive numerical models of UHPC subjected to penetration is critical in understanding the material's enhanced performance. This study employs the advanced fundamental concrete (AFC) model, and it runs inside the reproducing kernel particle method (RKPM)‐based code known as the nonlinear meshfree analysis program (NMAP). NMAP is advantageous for modeling impact and penetration problems that exhibit extreme deformation and material fragmentation. A comprehensive experimental study was conducted to characterize the UHPC. The investigation consisted of fracture toughness testing, the utilization of nondestructive microcomputed tomography analysis, and projectile penetration shots on the UHPC targets. To improve the accuracy of the model, a new scaled damage evolution law (SDEL) is employed within the microcrack informed damage model. During the homogenized macroscopic calculation, the corresponding microscopic cell needs to be dimensionally equivalent to the mesh dimension when the partial differential equation becomes ill posed and strain softening ensues. Results of numerical investigations will be compared with results of penetration experiments.
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Montgomery, Michael T., and Michael M. Bell. Continued Analysis on Multiscale Aspects of Tropical Cyclone Formation, Structure Change and Predictability in the Western North Pacific Region as Part of the TCS08 DRI. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574117.

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