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Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites/ edited by Marco Petrolo.
other author:	Petrolo, Marco.
Description:	XIII, 193 p. 70 illus., 48 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Mechanics. -
Online resource:	https://doi.org/10.1007/978-3-030-11969-0
ISBN:	9783030119690

Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites[electronic resource] /edited by Marco Petrolo. - 1st ed. 2019. - XIII, 193 p. 70 illus., 48 illus. in color.online resource. - PoliTO Springer Series,2509-6796. - PoliTO Springer Series,.

Introduction -- Variable kinematic shell formulations accounting for multi-field effects for the analysis of multi-layered structures -- Bistable buckled beam-like structures by one-dimensional hierarchical modeling -- Multiscale nonlinear analysis of beam structures by means of the Carrera Unified Formulation -- On the effectiveness of higher-order one-dimensional models for physically 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.

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 third part 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.

ISBN: 9783030119690

Standard No.: 10.1007/978-3-030-11969-0doiSubjects--Topical Terms:

527684
Mechanics.

LC Class. No.: TA349-359

Dewey Class. No.: 531

Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
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505 0 $a Introduction -- Variable kinematic shell formulations accounting for multi-field effects for the analysis of multi-layered structures -- Bistable buckled beam-like structures by one-dimensional hierarchical modeling -- Multiscale nonlinear analysis of beam structures by means of the Carrera Unified Formulation -- On the effectiveness of higher-order one-dimensional models for physically 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.
520 $a 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 third part 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.
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