Reprint

Multiscale Simulation of Composite Structures

Damage Assessment, Mechanical Analysis and Prediction

Edited by
February 2023
256 pages
  • ISBN978-3-0365-6543-9 (Hardback)
  • ISBN978-3-0365-6542-2 (PDF)

This book is a reprint of the Special Issue Multiscale Simulation of Composite Structures: Damage Assessment, Mechanical Analysis and Prediction that was published in

Chemistry & Materials Science
Engineering
Physical Sciences
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
braided composites; mesoscale model; notched specimen; damage evolution; static behavior; studs; deflection; finite element model; composite beam; crack width; aramid; impact; computational techniques; finite elements; mechanical analysis; axial capacity prediction; rectangular CFST columns; feedforward neural network; invasive weed optimization; hybrid machine learning; particle swarm parameters; adaptive neuro-fuzzy inference system; circular opening steel beams; buckling capacity; nanocomposite; PMMA; fullerene; finite element method; molecular dynamics; multiscale; composite structures; graphene; carbon fiber; hybrid matrix; vibrations; finite element analysis; bone-shaped; fullerene; nanotube; polymer; nanocomposite; stress-strain; stiffened CFST beam; recycled concrete; finite element; flexural strength; cold-formed tube; composite steel plate shear wall; hysteresis curves; ductility; energy absorption; finite element model; topology optimization; microstructure; homogenization; Matlab; reduced order models; reduced basis; on-the-fly construction; POD; approximate reanalysis; composite structures; multiscale simulation; finite element analysis; damage assessment; mechanical analysis