Grey Model Based Particle Swarm Optimization Algorithm for Fatigue Strength Prognosis of Concrete
2010 ◽
Vol 148-149
◽
pp. 420-424
◽
Keyword(s):
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.
2010 ◽
Vol 118-120
◽
pp. 541-545
2016 ◽
Vol 55
◽
pp. 285-291
◽
2011 ◽
Vol 38
(7)
◽
pp. 8151-8158
◽
2012 ◽
Vol 182-183
◽
pp. 1953-1957
2013 ◽
Vol 427-429
◽
pp. 1710-1713
2015 ◽
Vol 12
(7)
◽
pp. 1362-1367
◽