AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
作者： B. Echard , N. Gayton , M. Lemaire
DOI: 10.1016/J.STRUSAFE.2011.01.002
关键词:
摘要: … To avoid that, this paper proposes to develop an Active learning method … evaluated on the performance function. They represent candidate points to be evaluated if the active learning …
elsevier.com
sci-hub.se 参考文章(33)
Ove Dalager Ditlevsen, H. O. Madsen, Structural Reliability Methods ,(1996)
Icase, M. Yousuff Hussaini, Natalia M. Alexandrov, Multidisciplinary design optimization : state of the art Society for Industrial and Applied Mathematics. ,(1997)
Donald R. Jones, Matthias Schonlau, William J. Welch, Efficient Global Optimization of Expensive Black-Box Functions Journal of Global Optimization. ,vol. 13, pp. 455- 492 ,(1998) , 10.1023/A:1008306431147
Roger G. Ghanem, Pol D. Spanos, Stochastic Finite Elements: A Spectral Approach ,(1990)
Michael Havbro Faber, Jochen Köhler, Kazuyoshi Nishijima, Applications of Statistics and Probability in Civil Engineering 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICAPS 11. pp. 675- 677 ,(2011) , 10.1201/B11332
P.H. Waarts, Structural reliability using Finite Element Analysis - An appraisel of DARS : Directional Adaptive Response surface Sampling Delft University Press. ,(2000)
Hans Bruun Nielsen, Søren Nymand Lophaven, Jacob Søndergaard, DACE - A Matlab Kriging Toolbox ,(2002)
Rüdiger Rackwitz, Reliability analysis—a review and some perspectives Structural Safety. ,vol. 23, pp. 365- 395 ,(2001) , 10.1016/S0167-4730(02)00009-7
N. Gayton, J.M. Bourinet, M. Lemaire, CQ2RS: a new statistical approach to the response surface method for reliability analysis Structural Safety. ,vol. 25, pp. 99- 121 ,(2003) , 10.1016/S0167-4730(02)00045-0
Luc Schueremans, Dionys Van Gemert, Benefit of splines and neural networks in simulation based structural reliability analysis Structural Safety. ,vol. 27, pp. 246- 261 ,(2005) , 10.1016/J.STRUSAFE.2004.11.001