메뉴 건너뛰기




Volumn 110, Issue , 2013, Pages 22-33

Seismic reliability assessment of RC structures including soil-structure interaction using wavelet weighted least squares support vector machine

Author keywords

Monte Carlo Simulation; Performance Based Design; Seismic reliability assessment; Soil structure interaction; Wavelet; Weighted least squares support vector machine

Indexed keywords

BUDGET CONTROL; COMPUTATIONAL EFFICIENCY; COST REDUCTION; INTELLIGENT SYSTEMS; RELIABILITY ANALYSIS; RELIABILITY THEORY; SEISMIC DESIGN; SEISMOLOGY; SUPPORT VECTOR MACHINES;

EID: 84867235196     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2012.09.006     Document Type: Article
Times cited : (71)

References (62)
  • 2
    • 0003579570 scopus 로고
    • Seaoc Vision 2000 Committee Structural Engineers Association of California Sacramento, California, USA
    • SEAOC Vision 2000 Committee. Performance based seismic engineering of buildings 1995 Structural Engineers Association of California Sacramento, California, USA
    • (1995) Performance Based Seismic Engineering of Buildings
  • 4
    • 24144495295 scopus 로고    scopus 로고
    • The role of fragility assessment in consequence-based engineering
    • Y.K. Wen, and B.R. Ellingwood The role of fragility assessment in consequence-based engineering Earthquake Spectra 21 2005 861 877
    • (2005) Earthquake Spectra , vol.21 , pp. 861-877
    • Wen, Y.K.1    Ellingwood, B.R.2
  • 5
    • 28444465483 scopus 로고    scopus 로고
    • The effect of material and ground motion uncertainty on the seismic vulnerability of RC structure
    • O.S. Kwon, and A. Elnashai The effect of material and ground motion uncertainty on the seismic vulnerability of RC structure Engineering Structures 28 2 2006 289 303
    • (2006) Engineering Structures , vol.28 , Issue.2 , pp. 289-303
    • Kwon, O.S.1    Elnashai, A.2
  • 6
    • 33748784870 scopus 로고    scopus 로고
    • Probabilistic demand models and fragility curves for reinforced concrete frames
    • S.K. Ramamoorthy, P. Gardoni, and J.M. Bracci Probabilistic demand models and fragility curves for reinforced concrete frames Journal of Structural Engineering 132 10 2006 1563 1572
    • (2006) Journal of Structural Engineering , vol.132 , Issue.10 , pp. 1563-1572
    • Ramamoorthy, S.K.1    Gardoni, P.2    Bracci, J.M.3
  • 8
    • 40849131162 scopus 로고    scopus 로고
    • Seismic fragility and confidence bounds for gravity load designed reinforced concrete frames of varying height
    • S.K. Ramamoorthy, P. Gardoni, and J.M. Bracci Seismic fragility and confidence bounds for gravity load designed reinforced concrete frames of varying height Journal of Structural Engineering, ASCE 134 4 2008 639 650
    • (2008) Journal of Structural Engineering, ASCE , vol.134 , Issue.4 , pp. 639-650
    • Ramamoorthy, S.K.1    Gardoni, P.2    Bracci, J.M.3
  • 9
    • 62549152230 scopus 로고    scopus 로고
    • Seismic risk assessment of gravity load designed reinforced concrete frames subjected to Mid-America ground motions
    • O.C. Celik, and B.R. Ellingwood Seismic risk assessment of gravity load designed reinforced concrete frames subjected to Mid-America ground motions Journal of Structural Engineering, ASCE 135 4 2009 414 424
    • (2009) Journal of Structural Engineering, ASCE , vol.135 , Issue.4 , pp. 414-424
    • Celik, O.C.1    Ellingwood, B.R.2
  • 10
    • 70350000108 scopus 로고    scopus 로고
    • Seismic fragilities for non-ductile reinforced concrete frames-role of aleatoric and epistemic uncertainties
    • 321-12
    • O.C. Celik, and B.R. Ellingwood Seismic fragilities for non-ductile reinforced concrete frames-role of aleatoric and epistemic uncertainties Structural Safety 1 2010 321-12
    • (2010) Structural Safety , vol.1
    • Celik, O.C.1    Ellingwood, B.R.2
  • 11
    • 70349866083 scopus 로고    scopus 로고
    • Response surface with random factors for seismic fragility of reinforced concrete frames
    • N. Buratti, B. Ferracuti, and M. Savoia Response surface with random factors for seismic fragility of reinforced concrete frames Structural Safety 32 2010 42 51
    • (2010) Structural Safety , vol.32 , pp. 42-51
    • Buratti, N.1    Ferracuti, B.2    Savoia, M.3
  • 12
    • 70249106681 scopus 로고    scopus 로고
    • Structural optimization for performance-based design in earthquake engineering: Applications of neural networks
    • O. Moller, R.O. Foschi, M. Laura, L.M. Quiroz, and M. Marcelo Rubinstein Structural optimization for performance-based design in earthquake engineering: applications of neural networks Structural Safety 31 2009 490 499
    • (2009) Structural Safety , vol.31 , pp. 490-499
    • Moller, O.1    Foschi, R.O.2    Laura, M.3    Quiroz, L.M.4    Marcelo Rubinstein, M.5
  • 13
    • 67349107317 scopus 로고    scopus 로고
    • Seismic structural reliability using different nonlinear dynamic response surface approximations
    • O. Moller, R.O. Foschi, M. Rubinstein, and L. Quiroz Seismic structural reliability using different nonlinear dynamic response surface approximations Structural Safety 31 2009 432 442
    • (2009) Structural Safety , vol.31 , pp. 432-442
    • Moller, O.1    Foschi, R.O.2    Rubinstein, M.3    Quiroz, L.4
  • 14
    • 0036131837 scopus 로고    scopus 로고
    • Some cornerstones of dynamic soil-structure interaction
    • J.P. Wolf, and S. Chongmin Some cornerstones of dynamic soil-structure interaction Engineering Structures 24 2002 13 28
    • (2002) Engineering Structures , vol.24 , pp. 13-28
    • Wolf, J.P.1    Chongmin, S.2
  • 15
    • 24044470605 scopus 로고    scopus 로고
    • Dynamic wave-soil-structure interaction analysis in the time domain
    • J.L. Wegner, M.M. Yao, and X. Zhang Dynamic wave-soil-structure interaction analysis in the time domain Computers and Structures 83 2005 2206 2214
    • (2005) Computers and Structures , vol.83 , pp. 2206-2214
    • Wegner, J.L.1    Yao, M.M.2    Zhang, X.3
  • 19
    • 67949117137 scopus 로고    scopus 로고
    • Optimal design of structures subjected to time history loading by swarm intelligence and an advanced metamodel
    • S. Gholizadeh, and E. Salajegheh Optimal design of structures subjected to time history loading by swarm intelligence and an advanced metamodel Computer Methods in Applied Mechanics and Engineering 198 2009 2936 2949
    • (2009) Computer Methods in Applied Mechanics and Engineering , vol.198 , pp. 2936-2949
    • Gholizadeh, S.1    Salajegheh, E.2
  • 20
    • 0036604247 scopus 로고    scopus 로고
    • Fast Monte Carlo reliability evaluation using support vector machine
    • C.M. Rocco, and J.A. Moreno Fast Monte Carlo reliability evaluation using support vector machine Reliability Engineering and System Safety 76 2002 237 243
    • (2002) Reliability Engineering and System Safety , vol.76 , pp. 237-243
    • Rocco, C.M.1    Moreno, J.A.2
  • 21
    • 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 Structural Safety 29 2007 2 15
    • (2007) Structural Safety , vol.29 , pp. 2-15
    • Hurtado, J.E.1
  • 22
    • 49049115700 scopus 로고    scopus 로고
    • Adaptive explicit decision functions for probabilistic design and optimization using support vector machines
    • A. Basudhar, and S. Missoum Adaptive explicit decision functions for probabilistic design and optimization using support vector machines Computers and Structures 86 2008 1904 1917
    • (2008) Computers and Structures , vol.86 , pp. 1904-1917
    • Basudhar, A.1    Missoum, S.2
  • 23
    • 42649098946 scopus 로고    scopus 로고
    • Slope reliability analysis using a support vector machine
    • H.B. Zhao Slope reliability analysis using a support vector machine Computers and Geotechnics 35 2008 459 467
    • (2008) Computers and Geotechnics , vol.35 , pp. 459-467
    • Zhao, H.B.1
  • 25
    • 33845633182 scopus 로고    scopus 로고
    • Forecasting systems reliability based on support vector regression with genetic algorithms
    • K.Y. Chen Forecasting systems reliability based on support vector regression with genetic algorithms Reliability Engineering and System Safety 92 2007 423 432
    • (2007) Reliability Engineering and System Safety , vol.92 , pp. 423-432
    • Chen, K.Y.1
  • 26
    • 64849117504 scopus 로고    scopus 로고
    • Application of least squares support vector machine for regression to reliability analysis
    • G. Zhiwei, and B. Guangchen Application of least squares support vector machine for regression to reliability analysis Chinese Journal of Aeronautics 22 2009 160 166
    • (2009) Chinese Journal of Aeronautics , vol.22 , pp. 160-166
    • Zhiwei, G.1    Guangchen, B.2
  • 27
    • 79551475791 scopus 로고    scopus 로고
    • Reliability analysis using radial basis function networks and support vector machines
    • X.H. Tan, W.H. Bi, X.L. Hou, and W. Wang Reliability analysis using radial basis function networks and support vector machines Computers and Geotechnics 38 2011 178 186
    • (2011) Computers and Geotechnics , vol.38 , pp. 178-186
    • Tan, X.H.1    Bi, W.H.2    Hou, X.L.3    Wang, W.4
  • 28
    • 80052449651 scopus 로고    scopus 로고
    • Failure and reliability prediction by support vector machine regression of time series data
    • M.C. Moura, E. Zio, I.D. Lins, and E. Droguett Failure and reliability prediction by support vector machine regression of time series data Reliability Engineering and System Safety 96 2011 1527 1534
    • (2011) Reliability Engineering and System Safety , vol.96 , pp. 1527-1534
    • Moura, M.C.1    Zio, E.2    Lins, I.D.3    Droguett, E.4
  • 29
    • 84863441531 scopus 로고    scopus 로고
    • A support vector density-based importance sampling for reliability assessment
    • H. Dai, H. Zhang, and W. Wang A support vector density-based importance sampling for reliability assessment Reliability Engineering and System Safety 106 2012 86 93
    • (2012) Reliability Engineering and System Safety , vol.106 , pp. 86-93
    • Dai, H.1    Zhang, H.2    Wang, W.3
  • 30
    • 49049097983 scopus 로고    scopus 로고
    • Two-dimensional nonlinear earthquake response analysis of a bridge-foundation-ground system
    • Y. Zhang, J.P. Conte, Z. Yang, A. Elgamal, J. Bielak, and G. Acero Two-dimensional nonlinear earthquake response analysis of a bridge-foundation- ground system Earthquake Spectra 24 2 2008 343 386
    • (2008) Earthquake Spectra , vol.24 , Issue.2 , pp. 343-386
    • Zhang, Y.1    Conte, J.P.2    Yang, Z.3    Elgamal, A.4    Bielak, J.5    Acero, G.6
  • 34
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values on input variables in the analysis of output from a computer code
    • M.D. Mckay, R.J. Beckman, and W.J. Conover A comparison of three methods for selecting values on input variables in the analysis of output from a computer code Technometrics 21 1979 439 445
    • (1979) Technometrics , vol.21 , pp. 439-445
    • McKay, M.D.1    Beckman, R.J.2    Conover, W.J.3
  • 36
    • 0022043291 scopus 로고
    • Mechanistic seismic damage model for reinforced concrete
    • Y.J. Park, and A.H. Ang Mechanistic seismic damage model for reinforced concrete Journal of Structural Engineering, ASCE 111 1985 722 739
    • (1985) Journal of Structural Engineering, ASCE , vol.111 , pp. 722-739
    • Park, Y.J.1    Ang, A.H.2
  • 37
    • 67649090883 scopus 로고
    • IDARC Version 3: A program for the inelastic damage analysis of RC structures
    • National Center for Earthquake Engineering Research, State University of New York, Buffalo
    • Kunnath SK, Reinhorn AM, Lobo RF. IDARC Version 3: a program for the inelastic damage analysis of RC structures. Technical report NCEER-92-0022. National Center for Earthquake Engineering Research, State University of New York, Buffalo; 1992.
    • (1992) Technical Report NCEER-92-0022
    • Kunnath, S.K.1    Reinhorn, A.M.2    Lobo, R.F.3
  • 43
    • 77951173945 scopus 로고    scopus 로고
    • Krylov subspace accelerated Newton algorithm: Application to dynamic progressive collapse simulation of frames
    • S.M. Scott, and G.L. Fenves Krylov subspace accelerated Newton algorithm: application to dynamic progressive collapse simulation of frames Journal of Structural Engineering, ASCE 136 2010 473 480
    • (2010) Journal of Structural Engineering, ASCE , vol.136 , pp. 473-480
    • Scott, S.M.1    Fenves, G.L.2
  • 44
    • 0036825528 scopus 로고    scopus 로고
    • Weighted least squares support vector machines: Robustness and sparse approximation
    • J.A.K. Suykens, J.D. Brabanter, L. Lukas, and J. Vandewalle Weighted least squares support vector machines: robustness and sparse approximation Neurocomputing 48 2002 85 105
    • (2002) Neurocomputing , vol.48 , pp. 85-105
    • Suykens, J.A.K.1    Brabanter, J.D.2    Lukas, L.3    Vandewalle, J.4
  • 45
    • 70649108732 scopus 로고    scopus 로고
    • Weighted least squares support vector machine local region method for nonlinear time series prediction
    • T. Quan, X. Xiaomao Liu, and Q. Liu Weighted least squares support vector machine local region method for nonlinear time series prediction Applied Soft Computing 10 2010 562 566
    • (2010) Applied Soft Computing , vol.10 , pp. 562-566
    • Quan, T.1    Xiaomao Liu, X.2    Liu, Q.3
  • 47
    • 8444241860 scopus 로고    scopus 로고
    • Fast exact leave-one-out cross-validation of sparse least squares support vector machines
    • G.C. Cawley, and N.L.C. Talbox Fast exact leave-one-out cross-validation of sparse least squares support vector machines Neural Networks 17 10 2004 1467 1475
    • (2004) Neural Networks , vol.17 , Issue.10 , pp. 1467-1475
    • Cawley, G.C.1    Talbox, N.L.C.2
  • 48
    • 40649116219 scopus 로고    scopus 로고
    • Leave-one-out cross-validation based model selection criteria for weighted LS-SVM
    • Vancouver, BC, Canada
    • Cawley GC. Leave-one-out cross-validation based model selection criteria for weighted LS-SVM. In: Proceedings of the international joint conference on neural networks, Vancouver, BC, Canada; 2006. p. 1661-8.
    • (2006) Proceedings of the International Joint Conference on Neural Networks , pp. 1661-1668
    • Cawley, G.C.1
  • 50
    • 44949237228 scopus 로고    scopus 로고
    • Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
    • A. Widodo, and B.S. Yang Wavelet support vector machine for induction machine fault diagnosis based on transient current signal Expert Systems with Applications 35 2008 307 316
    • (2008) Expert Systems with Applications , vol.35 , pp. 307-316
    • Widodo, A.1    Yang, B.S.2
  • 51
    • 73449084765 scopus 로고    scopus 로고
    • Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system
    • Q. Wu Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system Journal of Computatonal and Applied Mathematics 233 2010 2481 2491
    • (2010) Journal of Computatonal and Applied Mathematics , vol.233 , pp. 2481-2491
    • Wu, Q.1
  • 52
    • 77956614836 scopus 로고    scopus 로고
    • Hybrid model based on wavelet support vector machine and modified genetic algorithm penalizing Gaussian noises for power load forecasts
    • Q. Wu Hybrid model based on wavelet support vector machine and modified genetic algorithm penalizing Gaussian noises for power load forecasts Expert Systems with Applications 38 2011 379 385
    • (2011) Expert Systems with Applications , vol.38 , pp. 379-385
    • Wu, Q.1
  • 53
    • 79952438070 scopus 로고    scopus 로고
    • An automatic diabetes diagnosis system based on LDA-wavelet support vector machine classifier
    • D. Calisir, and E. Dogantekin An automatic diabetes diagnosis system based on LDA-wavelet support vector machine classifier Expert Systems with Applications 38 2011 8311 8315
    • (2011) Expert Systems with Applications , vol.38 , pp. 8311-8315
    • Calisir, D.1    Dogantekin, E.2
  • 54
    • 79955594660 scopus 로고    scopus 로고
    • Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection
    • M. Zavar, S. Rahati, M.R. Akbarzadeh, and H. Ghasemifard Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection Expert Systems with Applications 38 2011 10751 10758
    • (2011) Expert Systems with Applications , vol.38 , pp. 10751-10758
    • Zavar, M.1    Rahati, S.2    Akbarzadeh, M.R.3    Ghasemifard, H.4
  • 55
    • 11144274295 scopus 로고    scopus 로고
    • PhD thesis. Electrical Engineering Department. Virginia Polytechnic Institute and State University
    • Lekutai G. Adaptive self-tuning neuro wavelet network controllers. PhD thesis. Electrical Engineering Department. Virginia Polytechnic Institute and State University; 1997.
    • (1997) Adaptive Self-tuning Neuro Wavelet Network Controllers
    • Lekutai, G.1
  • 60
    • 0018467854 scopus 로고
    • Variability of mechanical properties of reinforcing bars
    • S.A. Mirza, and J.G. MacGregor Variability of mechanical properties of reinforcing bars Journal of Structural Division 105 5 1979 921 937
    • (1979) Journal of Structural Division , vol.105 , Issue.5 , pp. 921-937
    • Mirza, S.A.1    MacGregor, J.G.2
  • 62
    • 0033237193 scopus 로고    scopus 로고
    • Characterization of geotechnical variability
    • K. Phoon, and F. Kulhawy Characterization of geotechnical variability Canadian Geotechnical Journal 36 4 1999 612 624
    • (1999) Canadian Geotechnical Journal , vol.36 , Issue.4 , pp. 612-624
    • Phoon, K.1    Kulhawy, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.