Multiscale Simulation of Composite Structures Damage Assessment, Mechanical Analysis and Prediction

Composites can be engineered to exhibit high strength, high stiffness, and high toughness. Composite structures have increasingly been used in various engineering applications. In recent decades, most fundamentals of science have expanded in length by many orders of magnitude. Nowadays, one of the p...

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Other Authors: Georgantzinos, Stelios K. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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520 |a Composites can be engineered to exhibit high strength, high stiffness, and high toughness. Composite structures have increasingly been used in various engineering applications. In recent decades, most fundamentals of science have expanded in length by many orders of magnitude. Nowadays, one of the primary goals of science and technology seems to be to develop reliable methods for linking the physical phenomena that occur over multiple length scales, particularly from a nano-/microscale to a macroscale. To engineer composites for high performance and to design advanced structures, the relationship between material nano-/microstructures and their macroscopic properties must be established to accurately predict their mechanical performance and failure. Multiscale simulation is a tool that enables studying and comprehending complex systems and phenomena that would otherwise be too expensive or dangerous, or even impossible, to study by direct experimentation and, thus, to achieve this goal.This reprint assembles high-quality chapters that advance the field of the multiscale simulation of composite structures, through the application of any modern computational and/or analytical methods alone or in conjunction with experimental techniques, for damage assessment or mechanical analysis and prediction. 
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650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
650 7 |a Mechanical engineering & materials  |2 bicssc 
653 |a braided composites 
653 |a mesoscale model 
653 |a notched specimen 
653 |a damage evolution 
653 |a static behavior 
653 |a studs 
653 |a deflection 
653 |a finite element model 
653 |a composite beam 
653 |a crack width 
653 |a aramid 
653 |a impact 
653 |a computational techniques 
653 |a finite elements 
653 |a mechanical analysis 
653 |a axial capacity prediction 
653 |a rectangular CFST columns 
653 |a feedforward neural network 
653 |a invasive weed optimization 
653 |a hybrid machine learning 
653 |a particle swarm parameters 
653 |a adaptive neuro-fuzzy inference system 
653 |a circular opening steel beams 
653 |a buckling capacity 
653 |a nanocomposite 
653 |a PMMA 
653 |a fullerene 
653 |a finite element method 
653 |a molecular dynamics 
653 |a multiscale 
653 |a composite structures 
653 |a graphene 
653 |a carbon fiber 
653 |a hybrid matrix 
653 |a vibrations 
653 |a finite element analysis 
653 |a bone-shaped 
653 |a nanotube 
653 |a polymer 
653 |a stress-strain 
653 |a stiffened CFST beam 
653 |a recycled concrete 
653 |a finite element 
653 |a flexural strength 
653 |a cold-formed tube 
653 |a composite steel plate shear wall 
653 |a hysteresis curves 
653 |a ductility 
653 |a energy absorption 
653 |a topology optimization 
653 |a microstructure 
653 |a homogenization 
653 |a Matlab 
653 |a reduced order models 
653 |a reduced basis 
653 |a on-the-fly construction 
653 |a POD 
653 |a approximate reanalysis 
653 |a multiscale simulation 
653 |a damage assessment 
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