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


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Автор: Marco Petrolo
Название:  Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
ISBN: 9783030119713
Издательство: Springer
Классификация:




ISBN-10: 3030119718
Обложка/Формат: Soft cover
Страницы: 193
Вес: 0.39 кг.
Дата издания: 2019
Серия: PoliTO Springer Series
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 48 illustrations, color; 22 illustrations, black and white; xiii, 193 p. 70 illus., 48 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.


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

Автор: Marco Petrolo
Название: Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
ISBN: 3030119688 ISBN-13(EAN): 9783030119683
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Поставка под заказ.

Описание: 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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