Grey Model Based Particle Swarm Optimization Algorithm for Fatigue Strength Prognosis of Concrete

Abstract:

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This paper explores the grey model based PSO (particle swarm optimization) algorithm for fatigue strength prognosis of concrete. First, depending on concrete’s testing status, fatigue life is studied. Then, one GM(1,1) based PSO algorithm is used in fatigue strength prognosis of concrete. One important advantage of the proposed algorithm is that only fewer data is in need for fatigue strength prognosis. Finally, a case study is given to illustrate effectiveness and efficiency of the proposed approach.

Info:

Periodical:

Advanced Materials Research (Volumes 148-149)

Edited by:

Xianghua Liu, Zhengyi Jiang and Jingtao Han

Pages:

420-424

DOI:

10.4028/www.scientific.net/AMR.148-149.420

Citation:

Q. M. Liu and M. Dong, "Grey Model Based Particle Swarm Optimization Algorithm for Fatigue Strength Prognosis of Concrete", Advanced Materials Research, Vols. 148-149, pp. 420-424, 2011

Online since:

October 2010

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Price:

$35.00

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