Browse by author
Lookup NU author(s): Dr Zaoyang Guo
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
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.
URL: http://dx.doi.org/10.1177/0954406211414522
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
