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Applications of Meta-Models in Finite Element Based Reliability Analysis of Engineering Structures

S S Panda1, C S Manohar1,2

Department of Civil Engineering, Indian Institute of Science, Bangalore 560 012, India
Corresponding author. Email: manohar@civil.iisc.ernet.in

Computer Modeling in Engineering & Sciences 2008, 28(3), 161-184. https://doi.org/10.3970/cmes.2008.028.161

Abstract

The problem of reliability analysis of randomly parametered, linear (or) nonlinear, structures subjected to static and (or) dynamic loads is considered. A deterministic finite element model for the structure to analyze sample realization of the structure is assumed to be available. The reliability analysis is carried out within the framework of response surface methods which involves the construction of surrogate models for performance functions to be employed in reliability calculations. This construction, in the present study, has involved combining space filling optimal Latin hypercube sampling, kriging models and methods from data-based asymptotic extreme value modeling of sequence of random variables. Illustrative examples on numerical prediction of reliability of a ten-bay truss, a W-seal in an aircraft structure, and a nonlinear randomly parametered dynamical system are presented. Limited Monte Carlo simulations are used to validate the approximate procedures developed.

Cite This Article

APA Style
Panda, S.S., Manohar, C.S. (2008). Applications of meta-models in finite element based reliability analysis of engineering structures. Computer Modeling in Engineering & Sciences, 28(3), 161-184. https://doi.org/10.3970/cmes.2008.028.161
Vancouver Style
Panda SS, Manohar CS. Applications of meta-models in finite element based reliability analysis of engineering structures. Comput Model Eng Sci. 2008;28(3):161-184 https://doi.org/10.3970/cmes.2008.028.161
IEEE Style
S.S. Panda and C.S. Manohar, "Applications of Meta-Models in Finite Element Based Reliability Analysis of Engineering Structures," Comput. Model. Eng. Sci., vol. 28, no. 3, pp. 161-184. 2008. https://doi.org/10.3970/cmes.2008.028.161



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