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Volumn 29, Issue 1, 2007, Pages 2-15

Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis

Author keywords

Importance sampling; Markov chains; Monte Carlo simulation; Neural networks; Structural reliability; Support vector machines

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MARKOV PROCESSES; MATHEMATICAL TRANSFORMATIONS; MONTE CARLO METHODS; NEURAL NETWORKS; PATTERN RECOGNITION; PROBABILITY; RELIABILITY;

EID: 33749045422     PISSN: 01674730     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.strusafe.2005.12.002     Document Type: Article
Times cited : (115)

References (41)
  • 1
    • 0020717484 scopus 로고
    • Basic analysis of structural safety
    • Shinozuka M. Basic analysis of structural safety. J Struct Eng 109 (1983) 721-740
    • (1983) J Struct Eng , vol.109 , pp. 721-740
    • Shinozuka, M.1
  • 3
    • 0024067349 scopus 로고
    • Probability integration by directional simulation
    • Bjerager P. Probability integration by directional simulation. J Eng Mech 114 (1988) 1285-1302
    • (1988) J Eng Mech , vol.114 , pp. 1285-1302
    • Bjerager, P.1
  • 4
    • 0026843350 scopus 로고
    • Generalized conditional expectation for structural reliability assessment
    • Ayyub B.M., and Chia C.Y. Generalized conditional expectation for structural reliability assessment. Struct Saf 11 (1992) 131-146
    • (1992) Struct Saf , vol.11 , pp. 131-146
    • Ayyub, B.M.1    Chia, C.Y.2
  • 6
    • 0032643408 scopus 로고    scopus 로고
    • A new adaptive importance sampling scheme for reliability calculations
    • Au S.K., and Beck J.L. A new adaptive importance sampling scheme for reliability calculations. Struct Saf 21 (1999) 135-158
    • (1999) Struct Saf , vol.21 , pp. 135-158
    • Au, S.K.1    Beck, J.L.2
  • 7
    • 0025243907 scopus 로고
    • A fast and efficient response surface approach for structural reliability problems
    • Bucher C. A fast and efficient response surface approach for structural reliability problems. Struct Saf 7 (1990) 57-66
    • (1990) Struct Saf , vol.7 , pp. 57-66
    • Bucher, C.1
  • 8
    • 0030244597 scopus 로고    scopus 로고
    • Structural reliability analysis of elastic-plastic structures using neural networks and Monte Carlo simulation
    • Papadrakakis M., Papadopoulos V., and Lagaros N.D. Structural reliability analysis of elastic-plastic structures using neural networks and Monte Carlo simulation. Comput Method Appl Mech Eng 136 (1996) 145-163
    • (1996) Comput Method Appl Mech Eng , vol.136 , pp. 145-163
    • Papadrakakis, M.1    Papadopoulos, V.2    Lagaros, N.D.3
  • 9
    • 0035834544 scopus 로고    scopus 로고
    • Neural network-based reliability analysis: a comparative study
    • Hurtado J.E., and Alvarez D.A. Neural network-based reliability analysis: a comparative study. Comput Method Appl Mech Eng 191 (2001) 113-132
    • (2001) Comput Method Appl Mech Eng , vol.191 , pp. 113-132
    • Hurtado, J.E.1    Alvarez, D.A.2
  • 10
    • 0036131735 scopus 로고    scopus 로고
    • Analysis of one-dimensional stochastic finite elements using neural networks
    • Hurtado J.E. Analysis of one-dimensional stochastic finite elements using neural networks. Probabilist Eng Mech 17 (2002) 35-44
    • (2002) Probabilist Eng Mech , vol.17 , pp. 35-44
    • Hurtado, J.E.1
  • 11
    • 1542263313 scopus 로고    scopus 로고
    • A classification approach for reliability analysis with stochastic finite element modeling
    • Hurtado J.E., and Alvarez D.A. A classification approach for reliability analysis with stochastic finite element modeling. J Struct Eng 129 (2003) 1141-1149
    • (2003) J Struct Eng , vol.129 , pp. 1141-1149
    • Hurtado, J.E.1    Alvarez, D.A.2
  • 12
    • 0036604247 scopus 로고    scopus 로고
    • Fast Monte Carlo reliability evaluation using support vector machine
    • Rocco C.M., and Moreno J.A. Fast Monte Carlo reliability evaluation using support vector machine. Reliabil Eng Syst Saf 76 (2002) 237-243
    • (2002) Reliabil Eng Syst Saf , vol.76 , pp. 237-243
    • Rocco, C.M.1    Moreno, J.A.2
  • 13
    • 0141924120 scopus 로고    scopus 로고
    • Comparison of response surface and neural network with other methods for structural reliability analysis
    • Gomes H.M., and Awruch A.M. Comparison of response surface and neural network with other methods for structural reliability analysis. Struct Saf 26 (2004) 49-67
    • (2004) Struct Saf , vol.26 , pp. 49-67
    • Gomes, H.M.1    Awruch, A.M.2
  • 14
    • 2342545493 scopus 로고    scopus 로고
    • Performance-based design and seismic reliability analysis using designed experiments and neural networks
    • Zhang J., and Foschi R.O. Performance-based design and seismic reliability analysis using designed experiments and neural networks. Probabilist Eng Mech 19 (2004) 259-267
    • (2004) Probabilist Eng Mech , vol.19 , pp. 259-267
    • Zhang, J.1    Foschi, R.O.2
  • 16
    • 0035630033 scopus 로고    scopus 로고
    • Neural networks in stochastic mechanics
    • Hurtado J.E. Neural networks in stochastic mechanics. Arch Comput Method Eng 8 (2001) 303-342
    • (2001) Arch Comput Method Eng , vol.8 , pp. 303-342
    • Hurtado, J.E.1
  • 17
    • 1542316250 scopus 로고    scopus 로고
    • An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory
    • Hurtado J.E. An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory. Struct Saf 26 (2004) 271-293
    • (2004) Struct Saf , vol.26 , pp. 271-293
    • Hurtado, J.E.1
  • 19
    • 0035742030 scopus 로고    scopus 로고
    • Effect of response surface parameter variation on structural reliability estimates
    • Guan X.L., and Melchers R.E. Effect of response surface parameter variation on structural reliability estimates. Struct Saf 23 (2001) 429-444
    • (2001) Struct Saf , vol.23 , pp. 429-444
    • Guan, X.L.1    Melchers, R.E.2
  • 20
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K.M., Stinchcommbe M., and White H. Multilayer feedforward networks are universal approximators. Neural Networks 2 (1989) 359-366
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.M.1    Stinchcommbe, M.2    White, H.3
  • 25
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • Cover T.M. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Trans Electron Comput 14 (1965) 326-334
    • (1965) IEEE Trans Electron Comput , vol.14 , pp. 326-334
    • Cover, T.M.1
  • 26
    • 0024032825 scopus 로고
    • Adaptive sampling: an iterative fast Monte-Carlo procedure
    • Bucher C.G. Adaptive sampling: an iterative fast Monte-Carlo procedure. Struct Saf 5 (1988) 119-126
    • (1988) Struct Saf , vol.5 , pp. 119-126
    • Bucher, C.G.1
  • 27
    • 0024699077 scopus 로고
    • Importance sampling in structural systems
    • Melchers R.E. Importance sampling in structural systems. Struct Saf 6 (1989) 3-10
    • (1989) Struct Saf , vol.6 , pp. 3-10
    • Melchers, R.E.1
  • 28
    • 0035472117 scopus 로고    scopus 로고
    • Estimation of small failure probabilites in high dimensions by subset simulation
    • Au S.K., and Beck J.L. Estimation of small failure probabilites in high dimensions by subset simulation. Probabilist Eng Mech 16 (2001) 263-277
    • (2001) Probabilist Eng Mech , vol.16 , pp. 263-277
    • Au, S.K.1    Beck, J.L.2
  • 29
    • 0027701265 scopus 로고
    • A benchmark study on importance sampling techniques in structural reliability
    • Engelund S., and Rackwitz R. A benchmark study on importance sampling techniques in structural reliability. Struct Saf 12 (1993) 255-276
    • (1993) Struct Saf , vol.12 , pp. 255-276
    • Engelund, S.1    Rackwitz, R.2
  • 30
    • 0037378390 scopus 로고    scopus 로고
    • Importance sampling in high dimensions
    • Au S.K., and Beck J.L. Importance sampling in high dimensions. Struct Saf 25 (2003) 139-163
    • (2003) Struct Saf , vol.25 , pp. 139-163
    • Au, S.K.1    Beck, J.L.2
  • 31
    • 0025671210 scopus 로고
    • Search-based importance sampling
    • Melchers R.E. Search-based importance sampling. Struct Saf 9 (1990) 117-128
    • (1990) Struct Saf , vol.9 , pp. 117-128
    • Melchers, R.E.1
  • 32
    • 0030402236 scopus 로고    scopus 로고
    • Approximate reliability analysis using normal polynomial and simulation results
    • Hong H.P., and Lind N.C. Approximate reliability analysis using normal polynomial and simulation results. Struct Saf 18 (1996) 329-339
    • (1996) Struct Saf , vol.18 , pp. 329-339
    • Hong, H.P.1    Lind, N.C.2
  • 34
    • 0026883379 scopus 로고
    • Optimal importance sampling density estimator
    • Ang G.L., Ang A.H.-S., and Tang W.H. Optimal importance sampling density estimator. J Eng Mech 118 (1991) 1146-1163
    • (1991) J Eng Mech , vol.118 , pp. 1146-1163
    • Ang, G.L.1    Ang, A.H.-S.2    Tang, W.H.3
  • 35
    • 0026168793 scopus 로고
    • Observations of applications of importance sampling in structural reliability analysis
    • Ibrahim Y. Observations of applications of importance sampling in structural reliability analysis. Struct Saf 9 (1991) 269-281
    • (1991) Struct Saf , vol.9 , pp. 269-281
    • Ibrahim, Y.1
  • 36
    • 0023401249 scopus 로고
    • A critical appraisal of methods to determine failure probabilities
    • Schuëller G.I., and Stix R. A critical appraisal of methods to determine failure probabilities. Struct Saf 4 (1987) 293-309
    • (1987) Struct Saf , vol.4 , pp. 293-309
    • Schuëller, G.I.1    Stix, R.2
  • 37
    • 0022440711 scopus 로고
    • An efficient sampling method for probability of failure calculation
    • Harbitz A. An efficient sampling method for probability of failure calculation. Struct Saf 3 (1986) 109-115
    • (1986) Struct Saf , vol.3 , pp. 109-115
    • Harbitz, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.