Numerical methods for reliability and safety assessment : multiscale and multiphysics systems /

This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple equations describing different physical phenomena, and multiscale problems, involving discrete sub-problems that together describe important...

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Bibliographic Details
Group Author: Kadry, Seifedine, 1977; El Hami, Abdelkhalak
Published: Springer International Publishing,
Publisher Address: Cham, Switzerland :
Publication Dates: [2015]
Literature type: Book
Language: English
Subjects:
Summary: This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple equations describing different physical phenomena, and multiscale problems, involving discrete sub-problems that together describe important aspects of a system at multiple scales. The book examines a range of engineering domains and problems using dynamic analysis, nonlinear methods, error estimation, finite element analysis, and other computational techniques. This book also: · Introduces novel numerical methods · Illustrates new p
Item Description: Includes bibliographical references and index.
Carrier Form: xviii, 805 pages : illustrations (some color) ; 24 cm
ISBN: 9783319071664 (hardback) :
3319071661
Index Number: TA169
CLC: O141.4
TB114.3
Call Number: TB114.3/N971
Contents: Mechanical system lifetime -- Likelihood-based approach for uncertainty quantification in multi-physics systems -- Bayesian methodology for uncertainty quantification in complex engineering systems -- The simulus-driven theory of probabilistic dynamics (SDTPD) -- The pavement performance modeling: Deterministic vs. stochastic approaches -- Probabilistic considerations in the damage analysis of ship collisions -- An advanced point estimate method for uncertainty and sensitivity analysis using Nataf transformation and dimension-reduction integration -- Risk assessment of slope instability rela