Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites (Polito Springer Series) （2019）

Petrolo, Marco (EDT)

Springer Nature Switzerland AG（2020/08発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 193 p.
• 言語 ENG
• 商品コード 9783030119713
• DDC分類 531

Full Description

This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical efficiency, which is more accurate for given computational costs than existing methods and methodologies. It first presents structural theories to deal with the anisotropy of composites and to embed multifield and nonlinear effects to extend design capabilities and provide methods of augmenting the fidelity of structural theories and lowering computational costs, including the finite element method. The second part of the book focuses on damage analysis; the multiscale and multicomponent nature of composites leads to extremely complex failure mechanisms, and predictive tools require physics-based models to reduce the need for fitting and tuning based on costly and lengthy experiments, and to lower computational costs; furthermore the correct monitoring of in-service damage is decisive in the context of damage tolerance. The thirdpart then presents recent advances in embedding characterization and manufacturing effects in virtual testing. The book summarizes the outcomes of the FULLCOMP (FULLy integrated analysis, design, manufacturing, and health-monitoring of COMPosite structures) research project.

Contents

Introduction​.- Variable kinematic shell formulations accounting for multi-field effects for the analysis of multi-layered structures.- Bistable buckled beam-like structures by one-dimensionalhierarchical modeling.- Multiscale nonlinear analysis of beam structures by means of theCarrera Unified Formulation.- On the effectiveness of higher-order one-dimensional models forphysically nonlinear problems.- Post-buckling progressive failure analysis of composite panels using a two-way global-local coupling approach including intralaminar failure and debonding.- Mesoscale hyperelastic model of a single yarn under high velocity transverse impact.- Structural health monitoring: numerical simulation of Lamb waves via higher-order models.- Improving the static structural performance of panels with spatially varying material properties using correlations.- Multiscale identification of material properties for anisotropic media: a general inverse approach.- Metamodel-based uncertainty quantification for the mechanical behavior of braided composites.