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Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites (PoliTO Springer Series) - Hardcover

Book 10 of 14: PoliTO Springer
 
9783030119683: Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites (PoliTO Springer Series)

Synopsis

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.

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About the Author

Marco Petrolo is assistant professor and member of MUL2 (Multilayered Structures Multifield Analysis) research group at the Department of Mechanical and Aerospace Engineering of Politecnico di Torino, Italy. His research activity deals with the structural analysis of composite structures; refined beam, plate and shell models; component-wise approaches, damage analysis, and axiomatic/asymptotic analyses.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783030119713: Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites (PoliTO Springer Series)

Featured Edition

ISBN 10:  3030119718 ISBN 13:  9783030119713
Publisher: Springer, 2020
Softcover