Academic literature on the topic 'Intelligent Composite Structures'

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Journal articles on the topic "Intelligent Composite Structures"

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Kalamkarov, A. L., and A. D. Drozdov. "Optimal Design of Intelligent Composite Structures." Journal of Intelligent Material Systems and Structures 8, no. 9 (September 1997): 757–66. http://dx.doi.org/10.1177/1045389x9700800905.

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Drozdov, A. D., and A. L. Kalamkarov. "Intelligent composite structures: General theory and applications." International Journal of Solids and Structures 33, no. 29 (December 1996): 4411–29. http://dx.doi.org/10.1016/0020-7683(95)00230-8.

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Lin, Xueqi, Bing Wang, Shuncong Zhong, Hui Chen, and Dianzi Liu. "Smart driving of a bilayered composite tape-spring structure." Journal of Physics: Conference Series 2403, no. 1 (December 1, 2022): 012042. http://dx.doi.org/10.1088/1742-6596/2403/1/012042.

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Abstract Composite tape-springs (CTS) structure has been applied to spatial developable structures due to its bistability. There is growing interest in smart driving of the CTS-based structures because of the limitations on the working environment. Here, we propose a detailed analysis of the smart driving of the CTS structure. This is achieved by using smart materials to develop a bilayered CTS intelligent structure: the smart material forms the active layer to generate stress/strain to drive the structure; the CTS layer acts as a passive layer where its intrinsic bistability, designability further enriches the diversity of intelligent morphing structures. A theoretical analytical model is developed to anticipate the bistability; the stability criteria are then determined to guide the intelligent morphing design. These will facilitate the future smart driving design of aerospace deployable structures.
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Suzuki, Masakazu. "Optimal Handling of Flexible Structures Through Intelligent Composite Motion Control." IFAC Proceedings Volumes 28, no. 24 (October 1995): 49–54. http://dx.doi.org/10.1016/s1474-6670(17)46524-4.

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TSUJIKAMI, Tetsuya, Masaru ZAKO, and Manabu USHIRO. "Polymer Matrix Composites. Intelligent Finite Element Method Applied to Design of Actual Composite Structures." Journal of the Society of Materials Science, Japan 46, no. 4 (1997): 343–48. http://dx.doi.org/10.2472/jsms.46.343.

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ARES ELEJOSTE, PATRICIA, Rubén Seoane Rivero, SANTIAGO NEIRA HERNANDEZ, AITZIBER ITURMENDI AGUIRREBEITIA, and KOLDO GONDRA ZUBIETA. "ADDITIVE MANUFACTURING TECHNOLOGIES FOR SUSTAINABLE-INTELLIGENT STRUCTURES: A NEW CONCEPT OF MULTIDIMENSIONAL PRINTING." DYNA 98, no. 1 (January 1, 2023): 7–9. http://dx.doi.org/10.6036/10715.

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The introduction of polymer matrix composites in large structural parts for aircraft, buses, trains, and wind turbine blades has significantly boosted their efficiency. This is mainly due to the significant reduction in weight, resulting in fuel savings and a reduction on environmental impact. The annual use of these products is around 110.000 tonnes of carbon fibre composite parts and 4.5 million tonnes of glass fibre, with an average lifetime of around 15 years. Nevertheless, it should be noted that these products have high recycling disadvantages. Therefore, due to current environmental legislation, it is necessary to look for more sustainable alternatives, solutions to the waste generated during production, and at the end of life cycle. Key Words: bio-based composites, sustainable, thermosetting, vitrimers, natural fibres.
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Marinova, Daniela. "Model Development and Control Design of Smart Functionally Graded Structures." Advances in Science and Technology 56 (September 2008): 188–93. http://dx.doi.org/10.4028/www.scientific.net/ast.56.188.

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The paper reviews the modelling of intelligent structures and the control of a low energy active system. The structure composite couples functionally graded material and longitudinally piezoelectric fibre reinforced composite for actuating. Active control based on feedback concept is considered for shape regulating. The problem for optimal selection of the actuators number and locations is considered. Numerical simulations are presented.
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Wang, Bing, Shuncong Zhong, Tung-Lik Lee, Kevin S. Fancey, and Jiawei Mi. "Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review." Advances in Mechanical Engineering 12, no. 4 (April 2020): 168781402091376. http://dx.doi.org/10.1177/1687814020913761.

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Composite materials/structures are advancing in product efficiency, cost-effectiveness and the development of superior specific properties. There are increasing demands in their applications to load-carrying structures in aerospace, wind turbines, transportation, medical equipment and so on. Thus, robust and reliable non-destructive testing of composites is essential to reduce safety concerns and maintenance costs. There have been various non-destructive testing methods built upon different principles for quality assurance during the whole lifecycle of a composite product. This article reviews the most established non-destructive testing techniques for detection and evaluation of defects/damage evolution in composites. These include acoustic emission, ultrasonic testing, infrared thermography, terahertz testing, shearography, digital image correlation, as well as X-ray and neutron imaging. For each non-destructive testing technique, we cover a brief historical background, principles, standard practices, equipment and facilities used for composite research. We also compare and discuss their benefits and limitations and further summarise their capabilities and applications to composite structures. Each non-destructive testing technique has its own potential and rarely achieves a full-scale diagnosis of structural integrity. Future development of non-destructive testing techniques for composites will be directed towards intelligent and automated inspection systems with high accuracy and efficient data processing capabilities.
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Ma, Kougen, and Mehrdad N. Ghasemi-Nejhad. "Adaptive Simultaneous Precision Positioning and Vibration Control of Intelligent Composite Structures." Journal of Intelligent Material Systems and Structures 16, no. 2 (February 2005): 163–74. http://dx.doi.org/10.1177/1045389x05048848.

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Xu, Xiangyang, Hao Yang, Yi Zhang, and Ingo Neumann. "Intelligent 3D data extraction method for deformation analysis of composite structures." Composite Structures 203 (November 2018): 254–58. http://dx.doi.org/10.1016/j.compstruct.2018.07.003.

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Dissertations / Theses on the topic "Intelligent Composite Structures"

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Daynes, Stephen. "Intelligent Responsive Composite Structures." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520593.

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Hinshaw, Tyler. "Analysis and Design of a Morphing Wing Tip using Multicellular Flexible Matrix Composite Adaptive Skins." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33932.

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The material presented in this thesis uses concepts of the finite element and doublet panel methods to develop a structural-aerodynamic coupled mathematical model for the analysis of a morphing wing tip composed of smart materials. Much research is currently being performed within many facets of engineering on the use of smart or intelligent materials. Examples of the beneficial characteristics of smart materials might include altering a structureâ s mechanical properties, controlling its dynamic response(s) and sensing flaws that might progressively become detrimental to the structure. This thesis describes a bio-inspired adaptive structure that will be used in morphing an aircraftâ s wing tip. The actuation system is derived from individual flexible matrix composite tube actuators embedded in a matrix medium that when pressurized, radical structural shape change is possible. A driving force behind this research, as with any morphing wing related studies, is to expand the limitations of an aircraftâ s mission, usually constrained by the wing design. Rather than deploying current methods of achieving certain flight characteristics, changing the shape of a wing greatly increases the flight envelope. This thesis gives some insight as to the structural capability and limitations using current numerical methods to model a morphing wing in a flow.
Master of Science
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Chee, Clinton Yat Kuan. "STATIC SHAPE CONTROL OF LAMINATED COMPOSITE PLATE SMART STRUCTURE USING PIEZOELECTRIC ACTUATORS �." University of Sydney. Aeronautical Engineering, 2000. http://hdl.handle.net/2123/709.

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The application of static shape control was investigated in this thesis particularly for a composite plate configuration using piezoelectric actuators. A new electro-mechanically coupled mathematical model was developed for the analysis and is based on a third order displacement field coupled with a layerwise electric potential concept. This formulation, TODL, is then implemented into a finite element program. The mathematical model represents an improvement over existing formulations used to model intelligent structures using piezoelectric materials as actuators and sensors. The reason is TODL does not only account for the electro-mechanical coupling within the adaptive material, it also accounts for the full structural coupling in the entire structure due to the piezoelectric material being attached to the host structure. The other significant improvement of TODL is that it is applicable to structures which are relatively thick whereas existing models are based on thin beam / plate theories. Consequently, transverse shearing effects are automatically accounted for in TODL and unlike first order shear deformation theories, shear correction factors are not required. The second major section of this thesis uses the TODL formulation in static shape control. Shape control is defined here as the determination of shape control parameters, including actuation voltage and actuator orientation configuration, such that the structure that is activated using these parameters will conform as close as possible to the desired shape. Several shape control strategies and consequently algorithms were developed here. Initial investigations in shape control has revealed many interesting issues which have been used in later investigations to improve shape controllability and also led to the development of improved algorithms. For instance, the use of discrete actuator patches has led to greater shape controllability and the use of slopes and curvatures as additional control criteria have resulted in significant reduction in internal stresses. The significance of optimizing actuator orientation and its relation to piezoelectric anisotropy in improving shape controllability has also been presented. Thus the major facets of shape control has been brought together and the algorithms developed here represent a comprehensive strategy to perform static shape control.
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Drobez, Hervé. "Matériau composite à comportement contrôlé (M3C)." Mulhouse, 2006. http://www.theses.fr/2006MULH0837.

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Généralement, la déformation d'une structure est réalisée par des actionneurs externes ou intégrés à la structure. Pour le M3C la structure entière est l'actionneur. Ainsi la déformation est obtenue en combinant les propriétés d'anisotropie thermoélastique d'une structure composite à une élévation de température. Afin de concevoir et optimiser un M3C, un modèle numérique simplifié est proposé. La corrélation avec des résultats théoriques et expérimentaux montre sa fiabilité et son utilité. La mise en place d'un protocole expérimental, permet de caractériser les performances de divers types d'échantillons M3C. De plus, des essais de vieillissement montrent la fiabilité de plaques tests en M3C. Une structure M3C est une structure active. En lui associant divers capteurs et un système de contrôle, celle-ci devient « intelligente ». Emin, deux applications industrielles possibles sont proposées : un système de fixation actif et la déformation du bord de fuite d'un profil de type NACA.
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Julich, Saavedra Amelia Saskia. "Contrôle de forme de passerelle composite." Marne-la-vallée, ENPC, 2006. http://www.theses.fr/2006ENPC0625.

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Mounkaila, Mahamadou. "Analyse impédancemétrique pour le suivi de cuisson ou de santé des structures composites carbone/époxyde : vers des matériaux intelligents pour le PHM des structures composites." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30066.

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Les matériaux composites de haute performance à base de fibres de carbone sont de plus en plus utilisés dans des secteurs où la sécurité est critique (aéronautique, spatial, génie civil...). Ces matériaux offrent des performances mécaniques très élevées, par rapport à leur densité (légèreté, rigidité...). Ils offrent de nombreux avantages tels que la résistance mécanique, la réduction de masse et de consommation. Par conséquent, il est important de connaître Les caractéristiques du matériau lors de son processus d'élaboration (durcissement ou cuisson) ou lors de son utilisation. Dans le but d'optimiser l'utilisation ou de contrôler l'intégrité, les efforts sont employés à l'aide de plusieurs techniques pour surveiller le cycle de cuisson ou la santé des structures composites lors du conditionnement et en service. Au-delà des méthodes existantes de mesure unique de la résistance ou de la capacité du matériau, nous présentons ici une technique d'analyse d'impédance électrique afin d'extraire certaines propriétés spécifiques du matériau (résistance, capacité, Impédance et argument) dans le but de connaître son comportement. La micro structure du matériau étant faite de conducteur (fibre de carbone) et d'isolant (résine), un modèle de la conduction électrique a été établi en utilisant un réseau de résistance (RP) et de capacité (CP) parallèles d'impédance caractéristique Z. Puis le matériau est instrumenté à cœur à l'aide d'électrodes minces et flexibles (flex). Ensuite, une analyse de spectroscopie d'impédance est réalisée sur des échantillons en cycle de cuisson et en poste cuisson lors des tests mécaniques grâce un banc de mesure spécifiquement développé. Les résultats de l'analyse renseignent sur les propriétés intrinsèques du matériau et montrent une sensibilité de ces propriétés électriques (RP et CP ou Z et θ) en fonction de l'évolution du cycle et des tests mécaniques. Il est donc possible de faire le Structural Health Monitoring (SHM) ou mieux encore le Prognostics and health management (PHM)
The high-performance composite materials based on carbon fiber are increasingly used in critical security areas (aeronautics and civil engineering) for the high mechanical performances as regards to their low density. They offer many benefits such as mechanical strength, mass and consumption reduction. Thus, it is important to know their characteristics during curing process or their use. With the aim to optimize their use or to control their integrity, efforts are employed by using several techniques to monitor their curing cycle or the health of the structures during the conditioning stage and the service stage. Beyond the existing methods of unique measurement of the resistance or the capacitance of the material, we present herein a technique of electrical impedance analysis to extract some specific material properties (resistance, capacitance, Impedance and argument) in order to know its behavior. As the microstructure of the material contains a conductor part (carbon fiber) and an insulator part (resin), a three-dimensional (3D) model of the electrical conduction in the material was established by using a network of a resistance RP connected in parallel with a capacitance CP (impedance Z) to describe the anisotropy of the material. Then, the thin flexible electrodes (flex) are inserted inside the material and the specific impedance measurement bench is developed to perform a real-time measurement of RP and CP or Z and θ. Spectroscopic impedance analysis of the studied samples informs about the intrinsic properties of material and shows a sensitivity of these electrical properties according to the curing cycle. Then the sensitivity to some physical parameters (temperature, deformations, etc.) will be demonstrated in order to provide necessary elements to know or predict the health of the material for SHM (Structural Health Monitoring) and PHM (Prognostics and health management) purpose
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Jülich, Saavedra Amelia Saskia. "Contrôle de forme de passerelle composite." Phd thesis, Ecole des Ponts ParisTech, 2006. http://pastel.archives-ouvertes.fr/pastel-00002573.

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Ce travail de thèse propose un système de contrôle pour sécuriser et rigidifier une passerelle en composite verre et carbone. La passerelle autocontrainte se compose d'un double arc porteur, flambé élastiquement à partir de tubes rectilignes et stabilisé par deux câbles et des haubans croisés. Un tablier est posé sur des barres reliées aux câbles et haubans. Une étude Elements Finis identifie les points faibles de la passerelle. La stratégie de contrôle, basée sur des formes d'équilibre, répond à la fragilité des composites en uniformisant les forces dans les éléments de tension et à la souplesse en minimisant le déplacement vertical du tablier. Différentes géométries d'isoforce, avec forces uniformes dans les câbles et haubans, peuvent être déterminées avec la Méthode de la Densité de Force. Parmi les géométries d'isoforce, la géométrie cible d'un chargement a un déplacement minimal du tablier. On obtient une structure intelligente en adaptant interactivement la force des haubans.
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Kral, Zachary Tyler. "Development of a decentralized artificial intelligence system for damage detection in composite laminates for aerospace structures." Diss., Wichita State University, 2013. http://hdl.handle.net/10057/10612.

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Because of economic impact that results from downtime, aircraft maintenance is an important issue in the aerospace industry. In-service structures will decay over time. Compared to low-cycle loading structures, aerospace structures experience extreme loading conditions, resulting in rapid crack propagation. The research involved in this dissertation concerns development of the initial stages of structural health monitoring (SHM) system that includes a network of ultrasonic testing sensors with artificial intelligence capable of detecting damage before structure failure. A series of experiments examining the feasibility of ultrasonic sensors to detect the initial onset of damage on a composite laminate, similar in structure to that used in aerospace components, was conducted. An artificial neural network (ANN) with the best accuracy was found to be a hybrid of a self-organizing map (SOM) with a feed-forward hidden and output layer. This was used for the single actuator-to-sensor scans on a composite laminate with simulated damage. It was concluded that a decentralized network of sensors was appropriate for such a system. The small four-sensor system was proven to be capable of predicting the presence of damage within a scanning area on a composite laminate, as well as predict the location once damage was detected. The main experimentation for this dissertation involved four ultrasonic sensors operated in a pitch-catch configuration. Simulated damage, verified through experimentation, was placed at various locations in the scanning area of interest. Signals obtained from the ultrasonic sensors were analyzed by a multi-agent system in which each agent describes an ANN. The system was trained to determine damage size. A second multi-agent system was constructed to determine the location of the detected damage. The architecture was similar to the damage-sizing system. Results demonstrated that with the artificial intelligence post-processing of ultrasonic sensors, 95% confidence can be obtained for detecting and locating damage that is 0.375 in. in diameter, which was verified through a bootstrap method. This dissertation validated the initial stages of constructing such a network of ultrasonic sensors. Future research in this area could involve combining the four-sensor network into a larger network of sensors by means of multi-agent processing (i.e., developing scanning regions). The novel method presented here provides the basis for the development of the SHM system for typical aerospace structures.
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Aerospace Engineering.
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Kesavan, Ajay, and not supplied. "Embedded Intelligence In Structural Health Monitoring Using Artificial Neural Networks." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080226.122746.

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The use of composite structures in engineering applications has proliferated over the past few decades due to its distinct advantages namely: high structural performance, corrosion resistance, and high strength/weight ratio. However, they also come with a set of disadvantages, i.e. they are prone to fibre breakage, matrix cracking and delaminations. These types of damage are often invisible and if undetected, could lead to catastrophic failures of structures. Although there are systems to detect such damage, the criticality assessment and prognosis of the damage is often much more difficult to achieve. The research study conducted here resulted in the development of a Structural Health Monitoring (SHM) system for a 2D polymeric composite T-joint, used in maritime structures. The SHM system was found to be capable of not only detecting the presence of multiple delaminations in a composite structure, but also capable of determining the location and extent of all t he delaminations present in the T-joint structure, regardless of the load (angle and magnitude) acting on the structure. The system developed relies on the examination of the strain distribution of the structure under operational loading. This SHM system necessitated the development of a novel pre-processing algorithm - Damage Relativity Assessment Technique (DRAT) along with a pattern recognition tool, Artificial Neural Network (ANN), to predict and estimate the damage. Another program developed - the Global Neural network Algorithm for Sequential Processing of Internal sub Networks (GNAISPIN) uses multiple ANNs to render the SHM system independent to variations in structural loading and capable of estimating multiple delaminations in composite T-joint structures. Upto 82% improvement in detection accuracy was observed when GNAISPIN was invoked. The Finite Element Analysis (FEA) was also conducted by placing delaminations of different sizes at various locations in two structures, a composite beam and a T-joint. Glass Fibre Reinforced Polymer T-joints were then manufactured and tested, thereby verifying the accuracy of the FEA results experimentally. The resulting strain distribution from the FEA was pre-processed by the DRAT and used to trai n the ANN to predict and estimate damage in the structures. Finally, on testing the SHM system developed with strain signatures of composite T-joint structures, subjected to variable loading, embedded with all possible damage configurations (including multiple damage scenarios), an overall damage (location & extent) prediction accuracy of 94.1% was achieved. These results are presented and discussed in detail in this study.
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Brockmann, Tobias H. "Theory of adaptive fiber composites from piezoelectric material behavior to dynamics of rotating structures." Dordrecht Heidelberg London New York, NY Springer, 2009. http://d-nb.info/997517948/34.

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Books on the topic "Intelligent Composite Structures"

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Adaskin, Anatoliy, Aleksandr Krasnovskiy, and Tat'yana Tarasova. Materials science and technology of metallic, non-metallic and composite materials. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1143245.

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Book 1 of the textbook consists of two parts. Part I describes the structure of metallic, non-metallic, and composite materials. Technologies of production of metal materials are considered: metallurgical production of ferrous and non-ferrous metals; powder metallurgy; technologies of production of non-metallic materials: polymers, glass, graphite; technologies of production of composite materials, including semi-finished products-prepregs, premixes. Part II is devoted to methods for studying the properties of materials. Metal materials, technologies of their hardening by thermal, chemical-thermal treatment, and plastic deformation are considered. The features of organic and inorganic nonmetallic materials, as well as the possibility of changing their properties, are given. Composite materials are widely covered, and the areas of their rational application are shown. Revised chapter 14, which deals with intelligent materials. Meets the requirements of the federal state educational standards of higher education of the latest generation. For bachelors and undergraduates studying in groups of training areas 15.00.00 "Mechanical Engineering" and 22.00.00 "Materials Technologies". It can be used for training graduate students of engineering specialties, as well as for advanced training of engineering and technical workers of machine-building enterprises.
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Alexander, Breakwell John, Varadan V. K. 1943-, Society of Photo-optical Instrumentation Engineers., and CREOL (Research center), eds. Structures sensing and control: 2-3 April 1991, Orlando, Florida. Bellingham, Wash: SPIE, 1991.

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Peter, Beaumont, Constantinos Soutis, and Alma Hodzic. Structural Integrity and Durability of Advanced Composites: Innovative Modelling Methods and Intelligent Design. Elsevier Science & Technology, 2015.

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Soutis, C., Beaumont Peter, and Alma Hodzic. Structural Integrity and Durability of Advanced Composites: Innovative Modelling Methods and Intelligent Design. Elsevier Science & Technology, 2015.

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Book chapters on the topic "Intelligent Composite Structures"

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Alcaide, Angel, Federico Martin, Eduardo Barrera, and Mariano Ruiz. "PAMELA SHM System Implementation on Composite Wing Panels." In Smart Intelligent Aircraft Structures (SARISTU), 545–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_24.

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Loendersloot, Richard, Inka Buethe, Pavlos Michaelides, Maria Moix-Bonet, and George Lampeas. "Damage Identification in Composite Panels—Methodologies and Visualisation." In Smart Intelligent Aircraft Structures (SARISTU), 579–604. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_26.

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Flórez, Sonia, Idoia Gaztelumendi, and Jorge Gayoso. "Improvement of the Electrical Isotropy of Composite Structures—Overview." In Smart Intelligent Aircraft Structures (SARISTU), 805–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_42.

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Barut, Silvere. "Sensitive Coating Solutions to Lower BVID Threshold on Composite Structure." In Smart Intelligent Aircraft Structures (SARISTU), 745–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_37.

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Moix-Bonet, Maria, Peter Wierach, Richard Loendersloot, and Martin Bach. "Damage Assessment in Composite Structures Based on Acousto-Ultrasonics—Evaluation of Performance." In Smart Intelligent Aircraft Structures (SARISTU), 617–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_28.

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Psarras, Spyridon, Raul Muñoz, Mazdak Ghajari, Paul Robinson, and Domenico Furfari. "Compression After Multiple Impacts: Modelling and Experimental Validation on Composite Coupon Specimens." In Smart Intelligent Aircraft Structures (SARISTU), 667–79. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_31.

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Psarras, Spyridon, Raul Muñoz, Mazdak Ghajari, Paul Robinson, Domenico Furfari, Arne Hartwig, and Ben Newman. "Compression After Multiple Impacts: Modelling and Experimental Validation on Composite Curved Stiffened Panels." In Smart Intelligent Aircraft Structures (SARISTU), 681–89. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_32.

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Marzani, Alessandro, Nicola Testoni, Luca De Marchi, Ernesto Monaco, Zahra Sharif Khodaei, M. H. Aliabadi, and Julio Viana. "Implementation of a Structural Health Monitoring System for a Composite Wing Box Skin." In Smart Intelligent Aircraft Structures (SARISTU), 883–908. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_48.

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De Marchi, Luca, Alessandro Marzani, Nicola Testoni, Ulrike Heckenberger, and Alfonso Apicella. "Value at Risk for a Guided Waves-Based System Devoted to Damage Detection in Composite Aerostructures." In Smart Intelligent Aircraft Structures (SARISTU), 909–17. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_49.

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Monaco, Ernesto, Natalino Daniele Boffa, Vittorio Memmolo, Fabrizio Ricci, Nicola Testoni, Luca De Marchi, Alessandro Marzani, et al. "Methodologies for Guided Wave-Based SHM System Implementation on Composite Wing Panels: Results and Perspectives from SARISTU Scenario 5." In Smart Intelligent Aircraft Structures (SARISTU), 495–527. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_22.

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Conference papers on the topic "Intelligent Composite Structures"

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HWANG, WOO-SEOK, WOONBONG HWANG, and HYUN PARK. "INTEGRATION OF COMPOSITE STRUCTURAL DESIGN WITH THE INTELLIGENT SYSTEM CONCEPT." In 34th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1706.

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Kugarajah, T., P. S. Krishnaprasad, and Wijesuriya P. Dayawansa. "Identification and intelligent control of 2D smart composite." In Smart Structures & Materials '95, edited by Vasundara V. Varadan. SPIE, 1995. http://dx.doi.org/10.1117/12.208844.

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Zhang, Boming, Yinglin Song, C. S. Li, Shanyi Du, and Danfu Wang. "Intelligent manufacturing systems for composite materials cure process." In 1999 Symposium on Smart Structures and Materials, edited by Jack H. Jacobs. SPIE, 1999. http://dx.doi.org/10.1117/12.351587.

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Kim, Hong-Il, Jae-Hung Han, Hyung-Joon Bang, Soo-Hyun Kim, and Bongwan Lee. "Simultaneous Measurement of Deformation and Fracture of Composite Structures Using Fiber Bragg Grating Sensors." In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/smasis2011-5031.

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Because of high specific strength and many other benefits, the use of composites for the large lightweight structures such as modern aircrafts and wind turbines are increasing. However, one of the serious drawbacks of composites is that the structural failure occurs in complex patterns without yielding. Therefore, structural health monitoring has been intensively investigated for the early detection of any problems in structural integrity. One of the promising sensors for this purpose is fiber Bragg grating (FBG) sensor. They can be easily inserted into the layered-structure of the composite materials due to their small size. The excellent multiplexing capability enables measurement to be taken at multiple points along a single sensor line. As well as damage detection, the structural shape measurement also draws attention. Particularly for structures experiencing aerodynamic forces such as wind turbines or helicopter blades, the structural shape itself is important because the applied aerodynamic forces are affected by structural shape deflections. Therefore, the authors have conducted a series of studies on the structural shape estimation of various structures. We have also developed a wavelength division multiplexing (WDM) Bragg grating sensing system for high speed strain sensing as well as low frequency dynamic strains. In the case of high-speed sensing, the interrogator allows a sampling ratio of over 40 kHz for six linearly arrayed FBG sensors per channel. Utilizing the developed interrogator, this paper presents some experimental results for simultaneous measurement of deformation and fracture signals of composite structures. An array of FBG sensors were installed onto composite beam specimens and the acoustic emission (AE) signals due to structural failure was continuously monitored while the overall structural deflection shape was monitored in real time. The reconstructed shapes of the specimens were in good agreement with the shapes captured from photographs taken with a high-speed camera. In summary, it was demonstrated that both fracture signals and the overall deformation shape of composite structures could be simultaneously monitored.
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Fabriani, Federico, and Giulia Lanzara. "Self-Sensing Composite Materials With Intelligent Fabrics." In ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/smasis2019-5684.

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Abstract The excellent piezoelectric properties of Polyvinyl Fluoride (PVDF), its low cost, ease of workability and high chemical resistance, make it very useful to develop sensing devices for structural health monitoring applications (SHM). However, challenges occur when the devices need to be embedded into a hosting material or structure which could instead be damaged. In this study, the PVDF device is transformed into an ultralight and porous piezoelectric mat formed by ultra-long and randomly distributed micro fibers. The piezoelectric mat is embedded into a glass fiber (GF) composite by intercalating it with the GF layers during the lay-up process. This approach allows the realization of an intelligent composite that is capable to self-monitor its strain or vibrations during inservice life.
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Rizvi, Reza, and Hani Naguib. "Synthesis and Characterization of LDPE-Carbon Nanotube Composite Foams." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-444.

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This study details the synthesis and characterization of composites and composite foams of low-density polyethylene (LDPE) and multi-walled carbon nanotubes (MWCNT). LDPE-MWCNT composites were prepared by melt blending the components in a twin screw compounder and their foams were produced by batch foaming using CO2 as the blowing agent. The composites were characterized for dispersion using SEM and image results indicate good dispersability of MWCNT in LDPE with the formation of a MWCNT network in the LDPE matrix. Thermal and rheological properties of the composites were characterized and results indicate that even a small amount (1 wt.%) of MWCNTs can significantly affect the crystallization kinetics and the rheological behavior. Batch foaming results of the composites depict MWCNTs as heterogeneous nucleation sites for gas bubbles as indicated by the increase in cell density of the composite foams when compared to LDPE foams.
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Tewfic, Tarik, and M. Sarhadi. "Novel folding device for manufacturing aerospace composite structures." In Intelligent Systems and Smart Manufacturing, edited by Bhaskaran Gopalakrishnan and Angappa Gunasekaran. SPIE, 2000. http://dx.doi.org/10.1117/12.403654.

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Casalotti, Arnaldo, Krishna C. Chinnam, and Giulia Lanzara. "Self-Adaptable Carbon Fiber Composite." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8058.

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This article illustrates an approach to develop innovative smart materials based on carbon fiber composites. The proposed approach relies on the use of ultra-light strain sensors that are embedded into the composite and are adopted to monitor in real-time the actual material configuration. Such sensors are composed of electrospun PVDF fibers that exploit piezoelectricity to identify strain and thanks to their extreme lightweight can easily be embedded within the composite layers without affecting the structural integrity. On the other hand, the composite is equipped with a system of internal distributed heaters that can locally and globally vary the composite temperature. Since the adopted epoxy has a considerable temperature-dependent behaviour, it is possible to control its stiffness and thus to control the structural frequencies and damping. By coupling the sensing system with the control system, the structural properties are tuned to match prescribed working conditions, thus optimizing the performance of the proposed smart system. The proposed approach is investigated experimentally by manufacturing prototypes of the smart composite and by performing multiple tests to study the material response and evaluate the obtained performance.
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NISHIMURA, ISAO, KATSUYASU SASAKI, TAKUJI KOBORI, MITSUO SAKAMOTO, TOSHIKAZU YAMADA, NORIHIDE KOSHIKA, and SATOSHI OHRUI. "AN INTELLIGENT TUNED MASS DAMPER (An Experimental Study of an Active-Passive Composite Tuned Mass Damper)." In 34th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1709.

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Yuksel, Tolga, Daniel Stockton, Paul Marshall, Dave Kim, and Hakan Gurocak. "Intelligent Resin Delivery System for Manufacturing Large Composite Structures." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36442.

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Fabrication of large composite structures, such as recreational yacht hulls and wind turbine blades, is a cost intensive and high-risk operation, which must be carefully controlled to meet demanding design specifications and reduce defects. In this study, the goal was to develop an intelligent resin delivery system that can easily be integrated into the existing traditional setup in production environment and without any modifications to the mold. A prototype system with two resin supply lines and 16 optical sensors was developed. The system automatically monitors and adjusts resin flow in the mold in real-time using a controller. The effect of process setup parameters on the resin flow was investigated with the design of experiments technique to identify the best settings. The results showed that the automatic system can successfully control the resin flow, hence can be a potential future option in composite manufacturing.
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Reports on the topic "Intelligent Composite Structures"

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Peters, Kara J., and Mohammed A. Zikry. Intelligent Multi-scale Sensors for Damage Identification and Mitigation in Woven Composites for Aerospace Structural Applications. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada579751.

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PERFORMANCE OPTIMIZATION OF A STEEL-UHPC COMPOSITE ORTHOTROPIC BRIDGE WITH INTELLIGENT ALGORITHM. The Hong Kong Institute of Steel Construction, August 2022. http://dx.doi.org/10.18057/icass2020.p.160.

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To address the problems of pavement damage and fatigue cracking of orthotropic steel deck (OSD) in bridges, an innovative composite bridge deck composed of OSD with open ribs and ultra-high performance concrete (UHPC) layer was proposed. Firstly, the stress responses of fatigue-prone details in the composite bridge deck were investigated by refined two-scale finite element analysis. The results show that the rib-to-deck joint can achieve an infinite fatigue life, while the floorbeam detail of rib-tofloorbeam joint indicates finite fatigue life. Then, response surface models of stress ranges of fatigue details and structure weight were derived via both the central composite design and response surface method. Finally, to improve the fatigue performance for achieving an infinite fatigue life under relatively low structure weight, the multi-objective optimization was executed by an Improved Non-dominated Sorting Genetic Algorithm (NSGA-II). The obtained Pareto front shows that there is a strong competition between the stress range of fatigue-prone detail and structure weight.
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