Support vector machine for structural reliability analysis

李洪双1, 吕震宙1, 岳珠峰1
1School of Aeronautics, Northwestern Polytechnical University, Xi’an, P. R. China

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Tài liệu tham khảo

Gomes H M, Awruch A M. Comparison of the response surface and neural network with other methods for structural reliability analysis[J]. Structural Safety, 2004, 26(1):49–67.

Schueremans L, Gemert D V. Benefit of splines and neural networks in simulation based structural reliability analysis[J]. Structural Safety, 2005, 27(3): 246–261.

Rackwitz R. Reliability analysis—a review and some perspectives[J]. Structural Safety, 2001, 23(4):365–395

Nowak A R, Collins K R. Reliability of Structures[M]. McGraw-Hill, Boston, 2000.

Zhao Y G, Ono T. A general procedure for first/second-order reliability method (FORM/SORM)[J]. Structral Safety, 1999, 21(2):95–112.

Hurtado J E. An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory[J]. Structural Safety, 2004, 26 (3):271–293.

Bucher C G, Bourgund U. A fast and efficient response surface approach for structural reliability problems[J]. Structural Safety, 1990, 7(1):57–66.

Rajashekhar M R, Ellingwood B R. A new look at the response surface approach for reliability analysis[J]. Structural Safety, 1993, 12(3):205–220.

Kim S, Na S. Response surface method using vector projected sampling points[J]. Structural Safety, 1997, 19(1): 3–19.

Guan X L, Melchers R E. Effect of response surface parameter variation on structural reliability estimates[J]. Structural Safety, 2001, 23(4):429–444.

Hurtado J E, Alvarez D A. Neural-network-based reliability analysis: a comparative study[J]. Computer Methods in Applied Mechanics and Engineering, 2001, 191(1/2):113–132.

Papadrakakis M, Lagaros N D. Reliability-based structural optimization using neural networks and Monte Carlo simulation[J]. Computer Methods in Applied Mechanics and Engineering, 2002, 191(3):3491–3507.

Deng J, Gu D S, Li X B, et al. Structural reliability analysis for implicit performance functions using artificial neural network[J]. Structural Safety, 2005, 27(1):25–48.

Cortes C, Vapnik V N. Support vector networks[J]. Machine Learning, 1995, 20(3):273–297.

Vapnik V N. An overview of statistical learning theory[J]. IEEE Transaction on Neural Networks, 1999, 10(5):988–998.

Vapnik V N. The Nature of Statistical Learning Theory[M]. Springer-Verlag, New York, 1995.

Deng Naiyang, Tian Yingjie. A New Method for Data Mining: Support Vector Machine[M]. Science Press, Beijing, 2004 (in Chinese).

Rocco C M, Moreno J A. Fast Monte Carlo reliability evaluation using support vector machine[J]. Reliability Engineering and System Safety, 2002, 76(3):237–243.

Hurtado J E, Alvarez D A. Classification approach for reliability analysis with stochastic finite-element modeling[J]. Journal of Structural Engineering, 2003, 129(8):1141–1149.