High-dimensional model representation for structural reliability analysis

This paper presents a new computational tool for predicting failure probability of structural/mechanical systems subject to random loads, material properties, and geometry. The method involves high‐dimensional model representation (HDMR) that facilitates lower‐dimensional approximation of the origin...

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Bibliographic Details
Published in:	Communications in numerical methods in engineering Vol. 25; no. 4; pp. 301 - 337
Main Authors:	Chowdhury, Rajib, Rao, B. N., Prasad, A. Meher
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 01.04.2009 Wiley
Subjects:	Computational techniques Exact sciences and technology failure probability Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) high-dimensional model representation Mathematical methods in physics moving least squares Physics response surface Solid mechanics Structural and continuum mechanics structural reliability Monte Carlo method Statistical analysis Probabilistic approach Rupture moving least squares Structural reliability Modeling high-dimensional model representation System with n degrees of freedom Least squares method Mechanical system Random load Response surface Implicit function theorem failure probability Non linear effect Random medium Quantitative analysis Structural analysis Input output model
ISSN:	1069-8299, 1099-0887
Online Access:	Get full text
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