Name: Numerical Methods in Mechanics of Materials: With Applications From Nano to Macro Scales (en Inglés)
Price: 146276.00 COP
Availability: InStock
Author: Ken Chong; Arthur Boresi; Sunil Saigal; James Lee
ISBN: 9780367886257

portada Numerical Methods in Mechanics of Materials: With Applications From Nano to Macro Scales (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Ken Chong; Arthur Boresi; Sunil Saigal; James Lee

Idioma

Inglés

N° páginas

340

Encuadernación

Tapa Blanda

ISBN13

9780367886257

N° edición

Numerical Methods in Mechanics of Materials: With Applications From Nano to Macro Scales (en Inglés)

Ken Chong; Arthur Boresi; Sunil Saigal; James Lee (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Numerical Methods in Mechanics of Materials: With Applications From Nano to Macro Scales (en Inglés)"

In the dynamic digital age, the widespread use of computers has transformed engineering and science. A realistic and successful solution of an engineering problem usually begins with an accurate physical model of the problem and a proper understanding of the assumptions employed. With computers and appropriate software we can model and analyze complex physical systems and problems.However, efficient and accurate use of numerical results obtained from computer programs requires considerable background and advanced working knowledge to avoid blunders and the blind acceptance of computer results. This book provides the background and knowledge necessary to avoid these pitfalls, especially the most commonly used numerical methods employed in the solution of physical problems. It offers an in-depth presentation of the numerical methods for scales from nano to macro in nine self-contained chapters with extensive problems and up-to-date references, covering: Trends and new developments in simulation and computationWeighted residuals methodsFinite difference methodsFinite element methodsFinite strip/layer/prism methodsBoundary element methodsMeshless methodsMolecular dynamicsMultiphysics problemsMultiscale methods