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Journal articles on the topic 'Multiscale structural analysi'

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Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

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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2

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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3

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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4

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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5

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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7

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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8

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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9

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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10

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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11

Kijanski, Wojciech, and Franz-Joseph Barthold. "Structural optimisation of multiscale problems based on variational sensitivity analysis." PAMM 16, no. 1 (October 2016): 533–34. http://dx.doi.org/10.1002/pamm.201610255.

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12

Han, Lingzhi, Jincheng Lei, Zishun Liu, and Heow Pueh Lee. "Prediction of mechanical and thermal properties of particle reinforced hydrogel composites using the structural genome approach." International Journal of Computational Materials Science and Engineering 10, no. 01 (March 2021): 2150004. http://dx.doi.org/10.1142/s2047684121500044.

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In this paper, the structural genome approach is used for multiscale analyses to predict the mechanical and thermal properties of particle reinforced hydrogel composites. First, the structure genome model of particle reinforced hydrogel composites is created by the random sequential adsorption algorithm. Then the mechanical properties and equivalent thermal conductivity of hydrogel composites are numerically studied by the structural genome approach. The effects of particles with different volume fractions and material properties on their mechanical and thermal properties are investigated. From the simulation results, it can be found that within a certain range of volume fraction, the mechanical properties and equivalent thermal conductivity of hydrogel composites are positively correlated with the volume fractions of particles. We also find that with the increase of the mechanical properties and thermal conductivity of particles, the properties of hydrogel can be improved and eventually reach stabilization. The structural genome approach shows excellent efficiency in multiscale structure analysis. It is a convenient method for the simulation of complex soft material composites.

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13

Zheng, Zheyuan, and Zhaoxia Li. "A multiscale computational method with inheriting simulation of moving trans-scale boundary for damage-induced structural deterioration." Engineering Computations 34, no. 5 (July 3, 2017): 1677–99. http://dx.doi.org/10.1108/ec-06-2016-0219.

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Purpose This paper aims to introduce a multiscale computational method for structural failure analysis with inheriting simulation of moving trans-scale boundary (MTB). This method is motivated from the error in domain bridging caused by cross-scale damage evolution, which is common in structural failure induced by damage accumulation. Design/methodology/approach Within the method, vulnerable regions with high stress level are described by continuum damage mechanics, while elastic structural theory is sufficient for the rest, dividing the structural model into two scale domains. The two domains are bridged to generate mixed dimensional finite element equation of the whole system. Inheriting simulation is developed to make the computation of MTB sustainable. Findings Numerical tests of a notched three-point bending beam and a steel frame show that this MTB method can improve efficiency and ensure accuracy while capturing the effect of material damage on deterioration of components and structure. Originality/value The proposed MTB method with inheriting simulation is an extension of multiscale simulation to structural failure analysis. Most importantly, it can deal with cross-scale damage evolution and improve computation efficiency significantly.

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14

Caballero, Rementeria, Morales-Rivas, Benito-Alfonso, Yang, de Castro, Poplawsky, Sourmail, and Garcia-Mateo. "Understanding Mechanical Properties of Nano-Grained Bainitic Steels from Multiscale Structural Analysis." Metals 9, no. 4 (April 9, 2019): 426. http://dx.doi.org/10.3390/met9040426.

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Steel components working in extreme conditions require materials presenting the highest performances. Nowadays, nanoengineering is being applied to the development of ultra-high strength steels as a key-enabling technology in the steel sector. The present article describes the multiscale structure of nano-grained steels designed using atomic transformation theory and processed by a simple heat treatment. Outstanding mechanical properties for these novel steels are reported, and strain-hardening mechanisms are discussed.

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15

Liu, Sihang, Benoit Tremblais, Phillippe Carre, Nanrun Zhou, and Jianhua Wu. "Image Reconstruction from Multiscale Singular Points Based on the Dual-Tree Complex Wavelet Transform." Security and Communication Networks 2021 (December 21, 2021): 1–14. http://dx.doi.org/10.1155/2021/6752486.

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The representation of an image with several multiscale singular points has been the main concern in image processing. Based on the dual-tree complex wavelet transform (DT-CWT), a new image reconstruction (IR) algorithm from multiscale singular points is proposed. First, the image was transformed by DT-CWT, which provided multiresolution wavelet analysis. Then, accurate multiscale singular points for IR were detected in the DT-CWT domain due to the shift invariance and directional selectivity properties of DT-CWT. Finally, the images were reconstructed from the phases and magnitudes of the multiscale singular points by alternating orthogonal projections between the CT-DWT space and its affine space. Theoretical analysis and experimental results show that the proposed IR algorithm is feasible, efficient, and offers a certain degree of denoising. Furthermore, the proposed IR algorithm outperforms other classical IR algorithms in terms of performance metrics such as peak signal-to-noise ratio, mean squared error, and structural similarity.

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16

Vogl, Christian, Jakob Neef, and Carolin Wichmann. "Methods for multiscale structural and functional analysis of the mammalian cochlea." Molecular and Cellular Neuroscience 120 (May 2022): 103720. http://dx.doi.org/10.1016/j.mcn.2022.103720.

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17

Klarmann, Simon, Friedrich Gruttmann, and Sven Klinkel. "Homogenization assumptions for coupled multiscale analysis of structural elements: beam kinematics." Computational Mechanics 65, no. 3 (November 7, 2019): 635–61. http://dx.doi.org/10.1007/s00466-019-01787-z.

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18

Rouf, Khizar, Xin Liu, and Wenbin Yu. "Multiscale structural analysis of textile composites using mechanics of structure genome." International Journal of Solids and Structures 136-137 (April 2018): 89–102. http://dx.doi.org/10.1016/j.ijsolstr.2017.12.005.

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19

Stewart, Simon A. "Generalization and multiscale structure of subsurface structural maps." Interpretation 6, no. 4 (November 1, 2018): T1045—T1054. http://dx.doi.org/10.1190/int-2017-0143.1.

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Subsurface structural maps are stored as spatially referenced numeric grids. The spatial sampling density of these grids is a critical parameter in the mapping process because the sampling and aliasing that occurs when transforming from original data sources during the gridding process controls the information content and aesthetics of the final map. New results from upscaling experiments and sampling theory indicate that it is possible to specify gridding parameters that remove noise while retaining key geologic structure — an optimized generalization procedure. Furthermore, geologic structure may exist at multiple scales. Sampling theory can again be applied, in a multiscale curvature analysis, to yield structure at a range of scales via decomposition of a gridded surface. These products can be analyzed further for indications of short-wavelength, high-curvature features that may correspond to fault or fracture zones, and long-wavelength, prospect, and field-scale structure. These results combine to inform a discussion on sampling, smoothing, and geologic information, as well as provide a quantitative alternative to rules of thumb for grid sampling that balance signal and noise in standard mapping schemes.

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20

de Gouveia, Lilian Tais, Francisco Aparecido Rodrigues, and Luciano da Fontoura Costa. "Multiscale Curvature Analysis of Asphaltic Aggregate Particles." Journal of Computing in Civil Engineering 24, no. 6 (November 2010): 506–13. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000057.

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21

Tian, Qin, Cheng Hao Hang, Zi Xin Wan, and Yun Peng Zou. "Local Optimization Analysis of Bailey Beam Bracket Based on Multiscale Model." Key Engineering Materials 815 (August 2019): 229–34. http://dx.doi.org/10.4028/www.scientific.net/kem.815.229.

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In the construction of high-speed railway bridge, the stress of Bailey beam is much higher than that of other parts due to the large local compressive stress and bending moment at the fulcrum. To solve this problem, this paper proposes a structural measure of adding double I-steel cushion between Bailey beam and top beam to alleviate the larger stress at the fulcrum and make the support more uniform. Based on the Bailey beam support system of cast-in-situ high-speed railway bridge of Lianshui County super large bridge, the multi-scale finite element model of Bailey beam support is established by ABAQUS general finite element software, and the influence law of structural parameters of double-jointed I-steel cushion on support stress is analyzed. The research shows that the rigidly of the double-jointed I-beam cushion should not be too large or too small. When the length is appropriate, it can effectively alleviate the problem of excessive stress at the fulcrum of Bailey beam, and is a safe, economical and simple new structural measure.

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22

Gajbhiye, Sachin O., and Satinder P. Singh. "Multiscale Analysis Approach to Find the Dynamic Characteristics of Graphene Sheet." Applied Mechanics and Materials 592-594 (July 2014): 1119–24. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1119.

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The research work addresses question on dynamic characteristic of structure which exhibit periodicity at nanoscale viz. single layer graphene sheet using multiscale analysis approach. The carbon-carbon bond of graphene sheet is modeled as space frame element whereas the carbon atom is modeled as 3D-mass element without rotary inertia. Molecular structural mechanics (MSM) model has been used to find the equivalent geometric and elastic properties of space frame element to represent carbon-carbon bond. In molecular structural mechanics model, force field is expressed in the form of steric potential energy by omitting the electrostatic interaction. Sectional stiffness parameters are linked with the force field constants to derive the equivalent elastic and geometric properties of space frame element. This approach is used here to investigate the dynamic behavior of single layer graphene sheet. Simulations have been carried out with different values of aspect ratio to know the effect of variation in length and width on the natural frequencies of graphene structure. Molecular dynamic simulation has also been carried out on the same structure of graphene sheet to validate the results of proposed molecular structural mechanics model.

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Yang, Meng, Xinxi Xu, and Chen Su. "A Study on Vibration Characteristics and Stability of the Ambulance Nonlinear Damping System." Abstract and Applied Analysis 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/501081.

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Considering the impact of the nonlinear stiffness, a 2-DOF vibration model with cubic terms was established according to the structural feature and nonlinear behavior. Ignoring the impact of nonlinear terms, the system was linearly analyzed. In the case of primary resonance and 1 : 1 internal resonance, a multiscale method was used to obtain a first-order approximate solution. Taking the parameters of one tracked ambulance for instance, the approximate solution was corroborated and the influence of the parameters on damping effect was investigated. Finally, motion stability of the damping system was analyzed with singularity theory. The theoretical bases for improving efficiency of the damping system were provided.

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Morrison, Andrew, Mark Garnich, and Ray S. Fertig. "Reliability analysis of a woven composite Pi-joint structure." Journal of Composite Materials 51, no. 29 (March 9, 2017): 4101–14. http://dx.doi.org/10.1177/0021998317696343.

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The finite element (FE) method combined with multicontinuum theory (MCT) for analyzing composites was coupled with reliability analysis to develop a probabilistic, progressive failure, multiscale analysis of a three-dimensional braided composite Pi-joint subject to shear loading. The constituent engineering constants, ply strengths, and structural geometric parameters were treated as random variables. Failure was defined in the progressive failure framework as a minimum structure stiffness. NESSUS reliability analysis, HELIUS MCT, and Abaqus® FE analysis software packages were interfaced to create a global framework for performing multiscale reliability analysis of the composite structure. The reliability analysis resulted in the calculation of the probability of failure and sensitivities of the probability of failure to the random variables defined in the model. The model's probability of failure was most sensitive to the geometric parameters defining the thickness of the upright portion of the Pi-joint and the depth of the Pi-joint. The model's response was also sensitive to the compressive strength of the composite.

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Akula, Venkata M. K. "Multiscale reliability analysis of a composite stiffened panel." Composite Structures 116 (September 2014): 432–40. http://dx.doi.org/10.1016/j.compstruct.2014.06.001.

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Goupee, Andrew J., and Senthil S. Vel. "Transient multiscale thermoelastic analysis of functionally graded materials." Composite Structures 92, no. 6 (May 2010): 1372–90. http://dx.doi.org/10.1016/j.compstruct.2009.10.041.

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Unnikrishnan, V. U., G. U. Unnikrishnan, and J. N. Reddy. "Multiscale analysis of carbon nanotube-reinforced nanofiber scaffolds." Composite Structures 93, no. 2 (January 2011): 1008–14. http://dx.doi.org/10.1016/j.compstruct.2010.06.019.

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Arikawa, Taro, Yu Chida, Katsumi Seki, Tomohiro Takagawa, and Kenichiro Shimosako. "Development and Applicability of Multiscale Multiphysics Integrated Simulator for Tsunami." Journal of Disaster Research 14, no. 2 (March 1, 2019): 225–34. http://dx.doi.org/10.20965/jdr.2019.p0225.

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In this research, we develop a numerical fluid simulator coupled with a structural analysis. The purpose of this system is to efficiently calculate all stages of a tsunami from source to runup, including structural deformation. We also investigate the stability of breakwaters at Kamaishi port. The numerical results are compared with physical experiments, revealing good agreement. The system is applied to the local conditions at Kamaishi port to verify its applicability. Most of the breakwaters are washed away, which is similar to the actual reported damage, indicating that the proposed system can effectively reproduce tsunami structural damage.

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RAIMONDO, L., and M. H. ALIABADI. "MULTISCALE PROGRESSIVE FAILURE ANALYSIS OF PLAIN-WOVEN COMPOSITE MATERIALS." Journal of Multiscale Modelling 01, no. 02 (April 2009): 263–301. http://dx.doi.org/10.1142/s1756973709000141.

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The paper presents an overview of multiscale modeling of advanced fibrous composite materials. Following the review, a nonlinear, fully three-dimensional, numerical model is proposed which is suitable for multiscale elastic and progressive failure analysis of plain-woven composite materials. The proposed model is developed for implementation into the Finite Element code ABAQUS/Explicit as a user-defined subroutine for constant stress (one integration point) solid elements. The multiscale strategy applied in this paper uses a closed-form solution approach for homogenization of the mesoscale properties of a woven composite. A mosaic model of the woven composite's Representative Volume Element (RVE) is used for deriving the micromechanical relations used for homogenization. The composite RVE model used herein is composed of UD interlacing yarns (fill and warp yarns) and matrix-rich regions. For failure and damage analysis, the following features are implemented in this work: material nonlinearity for pure in-plane shear deformation; physically-based failure criteria for matrix failure in the UD yarns; maximum stress failure criteria for failure of fibers in the UD yarns and of the pure matrix in the resin-rich regions and energy-based damage mechanics. The proposed strategy, which has been implemented and tested for a special case of an in-plane damage, has some evident advantages compared to the other approaches, especially for application to full-scale simulations, i.e., component and structural scales. A comparison of the proposed model with experimental data shows a good correlation can be achieved.

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Tedesco, Francesca, Antonio Bilotta, and Emilio Turco. "Multiscale 3D mixed FEM analysis of historical masonry constructions." European Journal of Environmental and Civil Engineering 21, no. 7-8 (February 21, 2016): 772–97. http://dx.doi.org/10.1080/19648189.2015.1134676.

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Srinivasan, S., J. R. de Andrade, S. B. Biggers Jr, and R. A. Latour Jr. "3-D global/local analysis of composite hip prostheses – a model for multiscale structural analysis." Composite Structures 45, no. 3 (June 1999): 163–70. http://dx.doi.org/10.1016/s0263-8223(99)00020-3.

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Schröppel, Christian, and Jens Wackerfuß. "Meshing Highly Regular Structures: The Case of Super Carbon Nanotubes of Arbitrary Order." Journal of Nanomaterials 2015 (2015): 1–26. http://dx.doi.org/10.1155/2015/736943.

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Mesh generation is an important step in many numerical methods. We present the “Hierarchical Graph Meshing” (HGM) method as a novel approach to mesh generation, based on algebraic graph theory. The HGM method can be used to systematically construct configurations exhibiting multiple hierarchies and complex symmetry characteristics. The hierarchical description of structures provided by the HGM method can be exploited to increase the efficiency of multiscale and multigrid methods. In this paper, the HGM method is employed for the systematic construction of super carbon nanotubes of arbitrary order, which present a pertinent example of structurally and geometrically complex, yet highly regular, structures. The HGM algorithm is computationally efficient and exhibits good scaling characteristics. In particular, it scales linearly for super carbon nanotube structures and is working much faster than geometry-based methods employing neighborhood search algorithms. Its modular character makes it conducive to automatization. For the generation of a mesh, the information about the geometry of the structure in a given configuration is added in a way that relates geometric symmetries to structural symmetries. The intrinsically hierarchic description of the resulting mesh greatly reduces the effort of determining mesh hierarchies for multigrid and multiscale applications and helps to exploit symmetry-related methods in the mechanical analysis of complex structures.

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Zhou, Hao, Jie Li, and Xiaodan Ren. "MULTISCALE STOCHASTIC STRUCTURAL ANALYSIS TOWARD RELIABILITY ASSESSMENT FOR LARGE COMPLEX REINFORCED CONCRETE STRUCTURES." International Journal for Multiscale Computational Engineering 14, no. 3 (2016): 303–21. http://dx.doi.org/10.1615/intjmultcompeng.2016015745.

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TSUTSUMI, Masayoshi, Yasutomo UETSUJI, Hiroyuki KURAMAE, and Kazuyoshi TSUCHIYA. "1112 Multiscale Analysis of Ferroelectric Materials Considering Domain Switching and Structural Phase Transition." Proceedings of The Computational Mechanics Conference 2011.24 (2011): 383–84. http://dx.doi.org/10.1299/jsmecmd.2011.24.383.

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35

Ichimura, T., and M. Hori. "Structural seismic response analysis based on multiscale approach of computing fault-structure system." Earthquake Engineering & Structural Dynamics 38, no. 4 (April 10, 2009): 439–55. http://dx.doi.org/10.1002/eqe.861.

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Kijanski, Wojciech, and Franz-Joseph Barthold. "Remarks on different strategies for sensitivity analysis of multiscale problems in structural optimisation." PAMM 14, no. 1 (December 2014): 795–96. http://dx.doi.org/10.1002/pamm.201410378.

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37

Li, D. H., and A. S. Wan. "A layerwise multiscale analysis method for composite laminated plates." Composite Structures 257 (February 2021): 113157. http://dx.doi.org/10.1016/j.compstruct.2020.113157.

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38

Xu, Rui, Céline Bouby, Hamid Zahrouni, Tarak Ben Zineb, Heng Hu, and Michel Potier-Ferry. "A Multiscale Analysis on the Superelasticity Behavior of Architected Shape Memory Alloy Materials." Materials 11, no. 9 (September 17, 2018): 1746. http://dx.doi.org/10.3390/ma11091746.

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In this paper, the superelasticity effects of architected shape memory alloys (SMAs) are focused on by using a multiscale approach. Firstly, a parametric analysis at the cellular level with a series of representative volume elements (RVEs) is carried out to predict the relations between the void fraction, the total stiffness, the hysteresis effect and the mass of the SMAs. The superelasticity effects of the architected SMAs are modeled by the thermomechanical constitutive model proposed by Chemisky et al. 2011. Secondly, the structural responses of the architected SMAs are studied by the multilevel finite element method (FE 2 ), which uses the effective constitutive behavior of the RVE to represent the behavior of the macroscopic structure. This approach can truly couple the responses of both the RVE level and structural level by the real-time information interactions between two levels. Through a three point bending test, it is observed that the structure inherits the strong nonlinear responses—both the hysteresis effect and the superelasticity—of the architected SMAs at the cellular level. Furthermore, the influence of the void fraction at the RVE level to the materials’ structural responses can be more specifically and directly described, instead of using an RVE to predict at the microscopic level. Thus, this work could be referred to for optimizing the stiffness, the hysteresis effect and the mass of architected SMA structures and extended for possible advanced applications.

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Spina, Roberto, Marcel Spekowius, and Christian Hopmann. "Analysis of Polymer Crystallization with a Multiscale Modeling Approach." Key Engineering Materials 611-612 (May 2014): 928–36. http://dx.doi.org/10.4028/www.scientific.net/kem.611-612.928.

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The main objective of the presented work is to describe the crystallization kinetics of semi-crystalline thermoplastics with a multiscale model implemented into the COMSOL software and the in-house developed code SphäroSim. The filling and cooling simulations, implemented by using the computational fluid dynamics (CFD) and heat transfer (HT) modules of COMSOL, require the simultaneous solution of non-Newtonian multi-phase flow (polymer/air) and thermal fields in non-isothermal condition and transient regime. The simulation results are collected, converted into the OpenSource file format VTK (Visualization Toolkit) and transferred to the SphäroSim code after a matching operation with the COMSOL mesh. The SphäroSim code uses COMSOL results as input data to compute crystallization kinetics, using the COMSOL data as boundary conditions in the microstructure simulation. This allows the time resolved calculation of the crystallization process and a prediction of the final microstructure in the part which can be used in further simulations such as a structural analysis. The analytical parameters needed to connect crystallization kinetics with molecular material properties and applying the analytical scheme to the numerical simulation during filling and cooling in an injection moulding process are identified.

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Liao, Chenyi, Ye Liu, Dinglin Zhang, and Guohui Li. "Multiscale simulations of large complexes in conjunction with cryo-EM analysis." Current Opinion in Structural Biology 72 (February 2022): 27–32. http://dx.doi.org/10.1016/j.sbi.2021.07.008.

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Addessi, Daniela, Paolo Di Re, and Elio Sacco. "Micromechanical and multiscale computational modeling for stability analysis of masonry elements." Engineering Structures 211 (May 2020): 110428. http://dx.doi.org/10.1016/j.engstruct.2020.110428.

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Luongo, Angelo, Angelo Di Egidio, and Achille Paolone. "Multiscale analysis of defective multiple-Hopf bifurcations." Computers & Structures 82, no. 31-32 (December 2004): 2705–22. http://dx.doi.org/10.1016/j.compstruc.2004.04.022.

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Xiao, Hongjian, and Danilo P. Mandic. "Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems." Entropy 24, no. 1 (December 24, 2021): 26. http://dx.doi.org/10.3390/e24010026.

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Entropy-based methods have received considerable attention in the quantification of structural complexity of real-world systems. Among numerous empirical entropy algorithms, conditional entropy-based methods such as sample entropy, which are associated with amplitude distance calculation, are quite intuitive to interpret but require excessive data lengths for meaningful evaluation at large scales. To address this issue, we propose the variational embedding multiscale sample entropy (veMSE) method and conclusively demonstrate its ability to operate robustly, even with several times shorter data than the existing conditional entropy-based methods. The analysis reveals that veMSE also exhibits other desirable properties, such as the robustness to the variation in embedding dimension and noise resilience. For rigor, unlike the existing multivariate methods, the proposed veMSE assigns a different embedding dimension to every data channel, which makes its operation independent of channel permutation. The veMSE is tested on both stimulated and real world signals, and its performance is evaluated against the existing multivariate multiscale sample entropy methods. The proposed veMSE is also shown to exhibit computational advantages over the existing amplitude distance-based entropy methods.

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Lin, Tzu-Kang, and Dong-You Lee. "Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings." Entropy 23, no. 1 (December 31, 2020): 60. http://dx.doi.org/10.3390/e23010060.

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This study proposesd a novel, entropy-based structural health monitoring (SHM) system for measuring microvibration signals generated by actual buildings. A structural health diagnosis interface was established for demonstration purposes. To enhance the reliability and accuracy of entropy evaluation at various scales, composite multiscale cross-sample entropy (CMSCE) was adopted to increase the number of coarse-grained time series. The degree of similarity and asynchrony between ambient vibration signals measured on adjacent floors was used as an in-dicator for structural health assessment. A residential building that has been monitored since 1994 was selected for long-term monitoring. The accumulated database, including both the earthquake and ambient vibrations in each seismic event, provided the possibility to evaluate the practicability of the CMSCE-based method. Entropy curves obtained for each of the years, as well as the stable trend of the corresponding damage index (DI) graphs, demonstrated the relia-bility of the proposed SHM system. Moreover, two large earthquake events that occurred near the monitoring site were analyzed. The results revealed that the entropy values may have been slightly increased after the earthquakes. Positive DI values were obtained for higher floors, which could provide an early warning of structural instability. The proposed SHM system is highly stable and practical.

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Kaselouris, Evaggelos, Kyriaki Kosma, Yannis Orphanos, Alexandros Skoulakis, Ioannis Fitilis, Angelos P. Markopoulos, Makis Bakarezos, Michael Tatarakis, Nektarios A. Papadogiannis, and Vasilis Dimitriou. "Downscaled Finite Element Modeling of Metal Targets for Surface Roughness Level under Pulsed Laser Irradiation." Applied Sciences 11, no. 3 (January 29, 2021): 1253. http://dx.doi.org/10.3390/app11031253.

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A three-dimensional, thermal-structural finite element model, originally developed for the study of laser–solid interactions and the generation and propagation of surface acoustic waves in the macroscopic level, was downscaled for the investigation of the surface roughness influence on pulsed laser–solid interactions. The dimensions of the computational domain were reduced to include the laser-heated area of interest. The initially flat surface was progressively downscaled to model the spatial roughness profile characteristics with increasing geometrical accuracy. Since we focused on the plastic and melting regimes, where structural changes occur in the submicrometer scale, the proposed downscaling approach allowed for their accurate positioning. Additionally, the multiscale simulation results were discussed in relation to experimental findings based on white light interferometry. The combination of this multiscale modeling approach with the experimental methodology presented in this study provides a multilevel scientific tool for an in-depth analysis of the influence of heat parameters on the surface roughness of solid materials and can be further extended to various laser–solid interaction applications.

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Nguyen, Cong Hong Phong, Youngdoo Kim, Quang Thang Do, and Young Choi. "Implicit-based computer-aided design for additively manufactured functionally graded cellular structures." Journal of Computational Design and Engineering 8, no. 3 (May 13, 2021): 813–23. http://dx.doi.org/10.1093/jcde/qwab016.

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Abstract Additive manufacturing has enabled the fabrication of complex structures such as cellular structures. Although numerous design frameworks have been proposed for cellular structures, their effectiveness was limited owing to the use of B-rep-based representation. To address the limitations in previous research, this study proposes an implicit-based computer-aided design framework customized for additively manufactured functionally graded cellular structures (AM-FGCSs). The proposed design framework effectively aids in both single- and multiscale structural optimization for designing FGCSs. Moreover, implicit-based modeling afforded a reliable geometric representation that could efficiently assist computation tasks such as visualization, validation, and process planning for fabrication. In addition, two case studies were conducted to demonstrate the effectiveness of the proposed framework for designing FGCSs. The first case study on a three-point bending beam design problem proved the practicality of implicit-based representation in multiscale structural design. Meanwhile, the second case study validated the proficiency of the proposed framework in process planning for fabrication and engineering analysis, the two most vital computation tasks in designing cellular structures.

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Edmans, B. D., D. C. Pham, Z. Q. Zhang, T. F. Guo, N. Sridhar, and G. Stewart. "An Effective Multiscale Methodology for the Analysis of Marine Flexible Risers." Journal of Marine Science and Engineering 7, no. 10 (September 28, 2019): 340. http://dx.doi.org/10.3390/jmse7100340.

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Life extension is an attractive option for subsea flexible risers nearing the end of their design lives. However, techniques for assessing accumulated fatigue damage in flexible risers are often associated with large uncertainties due to the simplified calculation approaches typically used. One approach to reducing uncertainties is the inclusion of nonlinearities in riser structural response and consistent linking between global and local models. In this article, we present the elements of a numerical multiscale procedure capable of predicting the stresses that lead to fatigue damage in flexible pipes, namely: a nonlinear beam element, a nonlinear section response model and a detailed finite element model; the consistent integration of models developed for different length scales; and finally a validation of the flexible riser large-scale model.

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Куприяшкина, Н. М., О. Н. Павлова, and А. Н. Павлов. "Многомасштабный анализ ритмических процессов с меняющимися во времени характеристиками." Письма в журнал технической физики 46, no. 18 (2020): 7. http://dx.doi.org/10.21883/pjtf.2020.18.49992.18219.

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The problem of diagnosing structural changes in non-stationary processes in the case of the dependence of the degree of non-stationary on the frequency range is considered. Using the dynamics of slow sleep waves as an example, a multiscale analysis of experimental data is carried out and the possibility of improving the quality of diagnostics by choosing an appropriate basis for wavelet functions is discussed.

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KYOYA, Takashi, and Kenjiro TERADA. "A multiscale structural analysis and its application to a strength evaluation for fissured media." Doboku Gakkai Ronbunshu, no. 680 (2001): 49–64. http://dx.doi.org/10.2208/jscej.2001.680_49.

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Adal, Eda, Amin Sadeghpour, Simon Connell, Michael Rappolt, Esra Ibanoglu, and Anwesha Sarkar. "Heteroprotein Complex Formation of Bovine Lactoferrin and Pea Protein Isolate: A Multiscale Structural Analysis." Biomacromolecules 18, no. 2 (January 26, 2017): 625–35. http://dx.doi.org/10.1021/acs.biomac.6b01857.

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