Computational Stochastic Mechanics

Computational Stochastic Mechanics
Author :
Publisher : Springer Science & Business Media
Total Pages : 886
Release :
ISBN-10 : 9789401136921
ISBN-13 : 9401136920
Rating : 4/5 (21 Downloads)

Book Synopsis Computational Stochastic Mechanics by : P.D. Spanos

Download or read book Computational Stochastic Mechanics written by P.D. Spanos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over a period of several years the field of probabilistic mechanics and com putational mechanics have progressed vigorously, but independently. With the advent of powerful computational hardware and the development of novel mechanical techniques, the field of stochastic mechanics has progressed in such a manner that the inherent uncertainty of quite complicated systems can be addressed. The first International Conference on Computational Stochastic Mechanics was convened in Corfu in September 1991 in an ef fort to provide a forum for the exchanging of ideas on the current status of computational methods as applied to stochastic mechanics and for identi fying needs for further research. The Conference covered both theoretical techniques and practical applications. The Conference also celebrated the 60th anniversary of the birthday of Dr. Masanobu Shinozuka, the Sollenberger Professor of Civil Engineering at Princeton University, whose work has contributed in such a great measure to the development of Computational Stochastic Mechanics. A brief sum mary of his career and achievements are given in the Dedication. This book comprises some of the papers presented at the meeting and cov ers sections on Theoretical Reliability Analysis; Damage Analysis; Applied Reliability Analysis; Theoretical Random Vibrations; Stochastic Finite Ele ment Concept; Fatigue and Fracture; Monte Carlo Simulations; Earthquake Engineering Applications; Materials; Applied Random Vibrations; Applied Stochastic Finite Element Analysis, and Flow Related Applications and Chaotic Dynamics. The Editors hope that the book will be a valuable contribution to the grow ing literature covering the field of Computational Stochastic Mechanics.


Computational Stochastic Mechanics Related Books

Computational Stochastic Mechanics
Language: en
Pages: 886
Authors: P.D. Spanos
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Over a period of several years the field of probabilistic mechanics and com putational mechanics have progressed vigorously, but independently. With the advent
Computational Analysis of Randomness in Structural Mechanics
Language: en
Pages: 252
Authors: Christian Bucher
Categories: Mathematics
Type: BOOK - Published: 2009-03-30 - Publisher: CRC Press

DOWNLOAD EBOOK

Proper treatment of structural behavior under severe loading - such as the performance of a high-rise building during an earthquake - relies heavily on the use
Stochastic Numerics for Mathematical Physics
Language: en
Pages: 754
Authors: Grigori N. Milstein
Categories: Computers
Type: BOOK - Published: 2021-12-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. Th
Research Directions in Computational Mechanics
Language: en
Pages: 145
Authors: National Research Council
Categories: Technology & Engineering
Type: BOOK - Published: 1991-02-01 - Publisher: National Academies Press

DOWNLOAD EBOOK

Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology th
Computational Mechanics of Composite Materials
Language: en
Pages: 434
Authors: Marcin Marek Kaminski
Categories: Technology & Engineering
Type: BOOK - Published: 2006-03-30 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Computational Mechanics of Composite Materials lays stress on the advantages of combining theoretical advancements in applied mathematics and mechanics with the