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

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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.

Availability
Inventory Code Barcode Call Number Location Status
1908001909EB0002570620.118 AdvCentral LibraryAvailable
Detail Information
Series Title
-
Call Number
620.118 Adv
Publisher
Switzerland : Springer Cham.,
Collation
XIII, 193p.:Ill
Language
English
ISBN/ISSN
978-3-030-11969-0
Classification
620.118
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Composite materials--Mathematical models
Specific Detail Info
-
Statement of Responsibility
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No other version available

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