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Immune algorithm-embedded stochastic meshless method for structural reliability

Lookup NU author(s): Dr Zaoyang Guo


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In this article, a Neumann expansion Monte Carlo stochastic meshless point interpolation method (NMC-SMPIM) is developed to obtain the stochastic structural responses. Furthermore, an artificial immune genetic algorithm (AIGA) is embedded within the NMC-SMPIM to perform the structural reliability analysis to avoid some challenging problems including easy appeared precocity, low searching efficiency, and poor individual diversity. Numerical examples show that the results obtained by the AIGA algorithm-embedded NMC-SMPIM are accurate, and this method has advantages in analysis of responses and reliability of probabilistic structures with moderate variance coefficients.

Publication metadata

Author(s): You S, Guo Z

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Indo-Austrian Symposium on Advanced Materials Engineering

Year of Conference: 2012

Pages: 413-422

ISSN: 0954-4062

Publisher: Sage Publications Ltd.


DOI: 10.1177/0954406211414522

Library holdings: Search Newcastle University Library for this item

Series Title: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

ISBN: 20412983


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