000004518 001__ 4518
000004518 005__ 20141118192702.0
000004518 0177_ $$2doi$$a10.3850/978-981-07-2219-7_P217

000004518 0247_ $$210.3850/978-981-07-2219-7_P217
$$adoi
000004518 04107 $$aeng
000004518 046__ $$k2012-05-23
000004518 100__ $$aChan, Chin Loong
000004518 24500 $$aStochastic Analysis of Laterally Loaded Pile using Artificial Neural Networks

000004518 24630 $$n5.$$pProceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications
000004518 260__ $$bResearch Publishing, No:83 Genting Lane, #08-01, Genting Building, 349568 SINGAPORE
000004518 506__ $$arestricted
000004518 520__ $$2eng$$aReliability analyses of a laterally loaded pile are carried out by coupling probabilistic methods with a standalone finite-element analysis package via an alternative approach based on the artificial neural network (ANN). The proposed approach consists of two steps. The first step obtains the design point and the reliability index using the response surface approach based on the linear polynomial function. The second step constructs an approximation of the performance function using the neural network approach based on the design point found in the first step. The proposed approach is illustrated for the case of a laterally loaded pile involving correlated non-normal basic random variables and accounting for one-dimensional spatial autocorrelation of soil resistance. Stochastic analyses are carried out on pile-head deflection failure and bending moment failure. The probabilities of failure are obtained using first-order and second-order reliability methods, and Monte Carlo simulations based on importance sampling.

000004518 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004518 653__ $$aLaterally loaded piles, Response surface, Neural network, Probability, Reliability.

000004518 7112_ $$a5th Asian-Pacific Symposium on Structural Reliability and its Applications$$cSingapore (SG)$$d2012-05-23 / 2012-05-25$$gAPSSRA2012
000004518 720__ $$aChan, Chin Loong$$iLow, Bak Kong
000004518 8560_ $$ffischerc@itam.cas.cz
000004518 8564_ $$s361279$$uhttp://invenio.itam.cas.cz/record/4518/files/P217.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004518 962__ $$r4180
000004518 980__ $$aPAPER