Name: Nonlinear Mechanics for Composite Heterogeneous Structures (en Inglés)
SKU: 54651825
Price: 163.51 USD
Availability: InStock
Author: Georgios A. Drosopoulos; Georgios E. Stavroulakis

portada Nonlinear Mechanics for Composite Heterogeneous Structures (en Inglés)

Nonlinear Mechanics for Composite Heterogeneous Structures (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Georgios A. Drosopoulos; Georgios E. Stavroulakis

Idioma

Inglés

N° páginas

258

Encuadernación

Tapa Dura

ISBN13

9780367861551

N° edición

Nonlinear Mechanics for Composite Heterogeneous Structures (en Inglés)

Georgios A. Drosopoulos; Georgios E. Stavroulakis (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Nonlinear Mechanics for Composite Heterogeneous Structures (en Inglés)"

Nonlinear Mechanics for Composite Heterogeneous Structures applies both classical and multi-scale finite element analysis to the non-linear, failure response of composite structures. These traditional and modern computational approaches are holistically presented, providing insight into a range of non-linear structural analysis problems. The classical methods include geometric and material non-linearity, plasticity, damage and contact mechanics. The cutting-edge formulations include cohesive zone models, the Extended Finite Element Method (XFEM), multi-scale computational homogenization, localization of damage, neural networks and data-driven techniques. This presentation is simple but efficient, enabling the reader to understand, select and apply appropriate methods through programming code or commercial finite element software. The book is suitable for undergraduate studies as a final year textbook and for MSc and PhD studies in structural, mechanical, aerospace engineering and material science, among others. Professionals in these fields will also be strongly benefited. An accompanying website provides MATLAB codes for two-dimensional finite element problems with contact, multi-scale (FE2) and non-linear XFEM analysis, data-driven and machine learning simulations.