메뉴 건너뛰기




Volumn 41, Issue , 2015, Pages 1-12

A new sampling strategy for SVM-based response surface for structural reliability analysis

Author keywords

Design Point; FORM; Response Surface; Sampling Directions; Structural Reliability Analysis; SVM; Uncertainty

Indexed keywords

FORMING; RELIABILITY; SAMPLING; SURFACE PROPERTIES; UNCERTAINTY ANALYSIS;

EID: 84928496652     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.probengmech.2015.04.001     Document Type: Article
Times cited : (79)

References (52)
  • 4
    • 0002987950 scopus 로고    scopus 로고
    • Multiple design points in first and second-order reliability
    • A. Der Kiureghian, and T. Dakessian Multiple design points in first and second-order reliability Struct. Saf. 20 1998 37 49
    • (1998) Struct. Saf. , vol.20 , pp. 37-49
    • Der Kiureghian, A.1    Dakessian, T.2
  • 5
    • 0024774612 scopus 로고
    • Response-surface approach for reliability analysis
    • L. Faravelli Response-surface approach for reliability analysis J. Eng. Mech. 115 1989 2763 2781
    • (1989) J. Eng. Mech. , vol.115 , pp. 2763-2781
    • Faravelli, L.1
  • 6
    • 0025243907 scopus 로고
    • A fast and efficient response surface approach for structural reliability problems
    • C. Bucher, and U. Bourgund 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    Bourgund, U.2
  • 7
    • 43949162529 scopus 로고
    • A new look at the response surface approach for reliability analysis
    • M.R. Rajashekhar, and B.R. Ellingwood A new look at the response surface approach for reliability analysis Struct. Saf. 12 1983 205 220
    • (1983) Struct. Saf. , vol.12 , pp. 205-220
    • Rajashekhar, M.R.1    Ellingwood, B.R.2
  • 8
    • 0030673695 scopus 로고    scopus 로고
    • Response surface method using vector projected sampling points
    • S.-H. Kim, and S.-W. Na Response surface method using vector projected sampling points Struct. Saf. 19 1997 3 19
    • (1997) Struct. Saf. , vol.19 , pp. 3-19
    • Kim, S.-H.1    Na, S.-W.2
  • 9
    • 0033908933 scopus 로고    scopus 로고
    • Improved response surface method and its application to stiffened plate reliability analysis
    • Y. Zheng, and P.K. Das Improved response surface method and its application to stiffened plate reliability analysis Eng. Struct. 22 2000 544 551
    • (2000) Eng. Struct. , vol.22 , pp. 544-551
    • Zheng, Y.1    Das, P.K.2
  • 10
    • 0035742030 scopus 로고    scopus 로고
    • Effect of response surface parameter variation on structural reliability estimates
    • X.L. Guan, and R.E. Melchers 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
  • 12
    • 41549125936 scopus 로고    scopus 로고
    • A comparison of approximate response functions in structural reliability analysis
    • C. Bucher, and T. Most A comparison of approximate response functions in structural reliability analysis Probab. Eng. Mech. 23 2008 154 163
    • (2008) Probab. Eng. Mech. , vol.23 , pp. 154-163
    • Bucher, C.1    Most, T.2
  • 13
    • 84855796455 scopus 로고    scopus 로고
    • Reliability-based design optimization using kriging surrogates and subset simulation
    • V. Dubourg, B. Sudret, and J.M. Bourinet Reliability-based design optimization using kriging surrogates and subset simulation Struct. Multidiscip, Optimizat, 44 5 2011 673 690
    • (2011) Struct. Multidiscip, Optimizat , vol.44 , Issue.5 , pp. 673-690
    • Dubourg, V.1    Sudret, B.2    Bourinet, J.M.3
  • 14
    • 84875473938 scopus 로고    scopus 로고
    • Metamodel-based importance sampling for structural reliability analysis
    • V. Dubourg, B. Sudret, and F. Deheeger Metamodel-based importance sampling for structural reliability analysis Probab. Eng. Mech. 33 2013 47 57
    • (2013) Probab. Eng. Mech. , vol.33 , pp. 47-57
    • Dubourg, V.1    Sudret, B.2    Deheeger, F.3
  • 15
    • 84899675440 scopus 로고    scopus 로고
    • Assessment of the efficiency of Kriging surrogate models for structural reliability analysis
    • B. Gaspar, A.P. Teixeira, and C. Guedes Soares Assessment of the efficiency of Kriging surrogate models for structural reliability analysis Probab. Eng. Mech. 37 2014 24 34
    • (2014) Probab. Eng. Mech. , vol.37 , pp. 24-34
    • Gaspar, B.1    Teixeira, A.P.2    Guedes Soares, C.3
  • 16
    • 79952745362 scopus 로고    scopus 로고
    • AK-MCS: An active learning reliability method combining Kriging and Monte Carlo simulation
    • B. Echard, N. Gayton, and M. Lemaire AK-MCS: an active learning reliability method combining Kriging and Monte Carlo simulation Struct. Saf. 33 2 2014 145 154
    • (2014) Struct. Saf. , vol.33 , Issue.2 , pp. 145-154
    • Echard, B.1    Gayton, N.2    Lemaire, M.3
  • 17
    • 84904978373 scopus 로고    scopus 로고
    • An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
    • F. Cadini, F. Santos, and E. Zio An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability Reliab. Eng. Syst. Saf. 131 2014 109 117
    • (2014) Reliab. Eng. Syst. Saf. , vol.131 , pp. 109-117
    • Cadini, F.1    Santos, F.2    Zio, E.3
  • 19
    • 0036531948 scopus 로고    scopus 로고
    • Model correction factor method for reliability problems involving integrals of non-Gaussian random fields
    • P. Franchin, O. Ditlevsen, and A. Der Kiureghian Model correction factor method for reliability problems involving integrals of non-Gaussian random fields Probab. Eng. Mech. 17 2002 109 122
    • (2002) Probab. Eng. Mech. , vol.17 , pp. 109-122
    • Franchin, P.1    Ditlevsen, O.2    Der Kiureghian, A.3
  • 21
    • 84856520733 scopus 로고    scopus 로고
    • A gradient-free method for determining the design point in nonlinear stochastic dynamic analysis
    • U. Alibrandi, and A. Der Kiureghian A gradient-free method for determining the design point in nonlinear stochastic dynamic analysis Probab. Eng. Mechan. 28 2012 2 10
    • (2012) Probab. Eng. Mechan. , vol.28 , pp. 2-10
    • Alibrandi, U.1    Der Kiureghian, A.2
  • 22
    • 84893263682 scopus 로고    scopus 로고
    • A response surface method for stochastic dynamic analysis
    • U. Alibrandi A response surface method for stochastic dynamic analysis Reliab. Eng. Syst. Saf. 26 2014 44 53
    • (2014) Reliab. Eng. Syst. Saf. , vol.26 , pp. 44-53
    • Alibrandi, U.1
  • 24
    • 39749107185 scopus 로고    scopus 로고
    • The use of stochastic stresses in the static approach of probabilistic limit analysis
    • U. Alibrandi, and G. Ricciardi The use of stochastic stresses in the static approach of probabilistic limit analysis Int. J. Num. Methods Eng. 73 6 2008 747 782
    • (2008) Int. J. Num. Methods Eng. , vol.73 , Issue.6 , pp. 747-782
    • Alibrandi, U.1    Ricciardi, G.2
  • 25
    • 73649086275 scopus 로고    scopus 로고
    • Probabilistic eigenvalue buckling analysis solved through the ratio of polynomial response surface
    • U. Alibrandi, N. Impollonia, and G. Ricciardi Probabilistic eigenvalue buckling analysis solved through the ratio of polynomial response surface Comput. Methods Appl. Mech. Eng. 199 9-12 2010 450 464
    • (2010) Comput. Methods Appl. Mech. Eng. , vol.199 , Issue.912 , pp. 450-464
    • Alibrandi, U.1    Impollonia, N.2    Ricciardi, G.3
  • 27
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discov. 2 1998 121 167
    • (1998) Data Min. Knowl. Discov. , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 28
    • 1542263313 scopus 로고    scopus 로고
    • A classification approach for reliability analysis with stochastic finite element modeling
    • J.E. Hurtado, and D.A. Alvarez 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
  • 29
    • 1542316250 scopus 로고    scopus 로고
    • An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory
    • J.E. Hurtado 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
  • 30
    • 33749045422 scopus 로고    scopus 로고
    • Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis
    • J.E. Hurtado Filtered importance sampling with support vector margin: a powerful method for structural reliability analysis Struct. Saf. 29 2007 2 15
    • (2007) Struct. Saf. , vol.29 , pp. 2-15
    • Hurtado, J.E.1
  • 31
    • 70349929280 scopus 로고    scopus 로고
    • An optimization method for learning statistical classifiers in structural reliability
    • J.E. Hurtado, and D.A. Alvarez An optimization method for learning statistical classifiers in structural reliability Probab. Eng. Mech. 25 2010 26 34
    • (2010) Probab. Eng. Mech. , vol.25 , pp. 26-34
    • Hurtado, J.E.1    Alvarez, D.A.2
  • 32
    • 80555122965 scopus 로고    scopus 로고
    • Assessing small failure probabilities by combined subset simulation and Support Vector Machines
    • J.-M. Bourinet, F. Deheeger, and M. Lemaire Assessing small failure probabilities by combined subset simulation and Support Vector Machines Struct. Saf. 33 2011 343 353
    • (2011) Struct. Saf. , vol.33 , pp. 343-353
    • Bourinet, J.-M.1    Deheeger, F.2    Lemaire, M.3
  • 33
    • 0035472117 scopus 로고    scopus 로고
    • Estimation of small failure probabilities in high dimensions by subset simulation
    • S.K. Au, and J.L. Beck Estimation of small failure probabilities in high dimensions by subset simulation Probab. Eng. Mech. 16 2001 263 277
    • (2001) Probab. Eng. Mech. , vol.16 , pp. 263-277
    • Au, S.K.1    Beck, J.L.2
  • 35
  • 36
    • 0024067349 scopus 로고
    • Probability integration by directional simulation
    • P. Bjerager Probability integration by directional simulation J. Eng. Mech. 114 8 1988 1285 1302
    • (1988) J. Eng. Mech. , vol.114 , Issue.8 , pp. 1285-1302
    • Bjerager, P.1
  • 39
    • 0032740010 scopus 로고    scopus 로고
    • Error evaluations for the computation of failure probability in static structural reliability problems
    • J.C. Mitteau Error evaluations for the computation of failure probability in static structural reliability problems Probab. Eng. Mech. 14 1999 119 135
    • (1999) Probab. Eng. Mech. , vol.14 , pp. 119-135
    • Mitteau, J.C.1
  • 41
    • 84856157216 scopus 로고    scopus 로고
    • Dimensionality reduction and visualization of structural reliability problems using polar features
    • J.E. Hurtado Dimensionality reduction and visualization of structural reliability problems using polar features Probab. Eng. Mech. 29 2012 16 31
    • (2012) Probab. Eng. Mech. , vol.29 , pp. 16-31
    • Hurtado, J.E.1
  • 42
    • 41549114113 scopus 로고    scopus 로고
    • Geometric insight into the challenges of solving high-dimensional reliability problems
    • L.S. Katafygiotis, and K.M. Zuev Geometric insight into the challenges of solving high-dimensional reliability problems Probab. Eng. Mech. 23 2008 208 218
    • (2008) Probab. Eng. Mech. , vol.23 , pp. 208-218
    • Katafygiotis, L.S.1    Zuev, K.M.2
  • 43
    • 73549092274 scopus 로고    scopus 로고
    • The role of the design point for calculating failure probabilities in view of dimensionality and structural nonlinearities
    • M.A. Valdebenito, H.J. Pradlwarter, and G.I. Schuëller The role of the design point for calculating failure probabilities in view of dimensionality and structural nonlinearities Struct. Saf. 32 2010 101 111
    • (2010) Struct. Saf. , vol.32 , pp. 101-111
    • Valdebenito, M.A.1    Pradlwarter, H.J.2    Schuëller, G.I.3
  • 45
    • 84928483344 scopus 로고    scopus 로고
    • Implications of high dimensional geometry for structural reliability analysis and a novel linear response surface method based on SVM
    • Alibrandi U., Alani A. & Koh C.G. Implications of high dimensional geometry for structural reliability analysis and a novel linear response surface method based on SVM, International Journal of Computational Methods [to appear].
    • International Journal of Computational Methods [To Appear]
    • Alibrandi, U.1    Alani, A.2    Koh, C.G.3
  • 48
    • 0026205388 scopus 로고
    • Finite element reliability of geometrically nonlinear uncertain structures
    • P.-L. Liu, and A. Der Kiureghian Finite element reliability of geometrically nonlinear uncertain structures J. Eng. Mech. 117 8 1991 1806 1825
    • (1991) J. Eng. Mech. , vol.117 , Issue.8 , pp. 1806-1825
    • Liu, P.-L.1    Der Kiureghian, A.2
  • 52
    • 0027701265 scopus 로고
    • A benchmark study on importance sampling techniques in structural reliability
    • S. Engelund, and R. Rackwitz 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.