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Volumn 99, Issue 4, 2011, Pages 378-388

Modeling hysteretic nonlinear behavior of bridge aerodynamics via cellular automata nested neural network

Author keywords

Aerodynamics; Artificial neural network; Bridge; Buffeting; Cellular automata; Flutter; Nonlinear analysis; Turbulence; Wind

Indexed keywords

AERODYNAMICS; BOX GIRDER BRIDGES; BRIDGES; BUFFETING; CABLE STAYED BRIDGES; CELLULAR AUTOMATA; CONTROL NONLINEARITIES; FLUTTER (AERODYNAMICS); HYSTERESIS; NEURAL NETWORKS; NONLINEAR ANALYSIS; ROBOTS; TIME DOMAIN ANALYSIS; TURBULENCE; WHITE NOISE; WIND;

EID: 79955020375     PISSN: 01676105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jweia.2010.12.011     Document Type: Article
Times cited : (150)

References (32)
  • 1
    • 0028977380 scopus 로고
    • Identification of hysteretic oscillators under earthquake loading by nonparametric models
    • Benedettini F., Capecchi D., Vestroni F. Identification of hysteretic oscillators under earthquake loading by nonparametric models. Journal of Engineering Mechanics-ASCE 1995, 121(5):606-612.
    • (1995) Journal of Engineering Mechanics-ASCE , vol.121 , Issue.5 , pp. 606-612
    • Benedettini, F.1    Capecchi, D.2    Vestroni, F.3
  • 2
    • 0042823978 scopus 로고    scopus 로고
    • Aeroelastic analysis of bridges: effects of turbulence and aerodynamic nonlinearities
    • Chen X., Kareem A. Aeroelastic analysis of bridges: effects of turbulence and aerodynamic nonlinearities. Journal of Engineering Mechanics 2003, 129(8):885-895.
    • (2003) Journal of Engineering Mechanics , vol.129 , Issue.8 , pp. 885-895
    • Chen, X.1    Kareem, A.2
  • 3
    • 0035702316 scopus 로고    scopus 로고
    • Nonlinear response analysis of long-span bridge under turbulent winds
    • Chen X., Kareem A. Nonlinear response analysis of long-span bridge under turbulent winds. Journal of Wind Engineering and Industrial Aerodynamics 2001, 89(14-15):1335-1350.
    • (2001) Journal of Wind Engineering and Industrial Aerodynamics , vol.89 , Issue.14-15 , pp. 1335-1350
    • Chen, X.1    Kareem, A.2
  • 5
    • 0000303017 scopus 로고    scopus 로고
    • Suspension bridge response to turbulent wind: comparison of new numerical simulation method results with full scale data
    • Balkema, Rotterdam, G.L. Larose, F.M. Livesey (Eds.)
    • Diana G., Cheli F., Zasso A., Bocciolone M. Suspension bridge response to turbulent wind: comparison of new numerical simulation method results with full scale data. Wind Engineering into the 21 Century 1999, 871-878. Balkema, Rotterdam. G.L. Larose, F.M. Livesey (Eds.).
    • (1999) Wind Engineering into the 21 Century , pp. 871-878
    • Diana, G.1    Cheli, F.2    Zasso, A.3    Bocciolone, M.4
  • 6
    • 79954991464 scopus 로고    scopus 로고
    • A new numerical approach to reproduce bridge aerodynamic non linearities in time domain
    • In: The Fourth International Symposium on Computational Wind Engineering (CWE2006),
    • Diana, G., Resta, F., Rocchi, D., 2006. A new numerical approach to reproduce bridge aerodynamic non linearities in time domain. In: The Fourth International Symposium on Computational Wind Engineering (CWE2006), pp. 157-160.
    • (2006) , pp. 157-160
    • Diana, G.1    Resta, F.2    Rocchi, D.3
  • 7
    • 79955012151 scopus 로고    scopus 로고
    • A new approach to model the aeroelastic response of bridges in time domain by means of a rheological model
    • In: Proceedings of the ICWE 12, Cairns Australia,
    • Diana, G., Resta, F., Rocchi, D., 2007. A new approach to model the aeroelastic response of bridges in time domain by means of a rheological model. In: Proceedings of the ICWE 12, Cairns Australia, pp. 207-214.
    • (2007) , pp. 207-214
    • Diana, G.1    Resta, F.2    Rocchi, D.3
  • 8
    • 49049084072 scopus 로고    scopus 로고
    • A new numerical approach to reproduce bridge aerodynamic non-linearities in time domain
    • Diana G., Resta F., Rocchi D. A new numerical approach to reproduce bridge aerodynamic non-linearities in time domain. Journal of Wind Engineering and Industrial Aerodynamics 2008, 96(10-11):1871-1884.
    • (2008) Journal of Wind Engineering and Industrial Aerodynamics , vol.96 , Issue.10-11 , pp. 1871-1884
    • Diana, G.1    Resta, F.2    Rocchi, D.3
  • 9
    • 79955032515 scopus 로고    scopus 로고
    • Aerodynamic hysteresis: wind tunnel tests and numerical implementation of a fully non linear model for the bridge aeroelastic forces
    • In: Proceedings of the AWAS 08, Jeju, Korea,
    • Diana, G., Resta, F., Rocchi, D., Argentini, T., 2008b. Aerodynamic hysteresis: wind tunnel tests and numerical implementation of a fully non linear model for the bridge aeroelastic forces. In: Proceedings of the AWAS 08, Jeju, Korea, pp. 944-960.
    • (2008) , pp. 944-960
    • Diana, G.1    Resta, F.2    Rocchi, D.3    Argentini, T.4
  • 14
    • 79955019243 scopus 로고    scopus 로고
    • Neural network architectures design by cellular automata evolution. e-archivo.uc3m.es
    • Galván, I.M., Isasi, P., Molina, J.M., Sanchis, A., 2000. Neural network architectures design by cellular automata evolution. e-archivo.uc3m.es.
    • (2000)
    • Galván, I.M.1    Isasi, P.2    Molina, J.M.3    Sanchis, A.4
  • 15
    • 30844473077 scopus 로고    scopus 로고
    • Non-direct encoding method based on cellular automata to design neural network architectures
    • Gutiérrez G., Sanchis A., Isasi P., Molina J.M., Galván I.M. Non-direct encoding method based on cellular automata to design neural network architectures. Computer and Informatics 2005, 24:1001-1023.
    • (2005) Computer and Informatics , vol.24 , pp. 1001-1023
    • Gutiérrez, G.1    Sanchis, A.2    Isasi, P.3    Molina, J.M.4    Galván, I.M.5
  • 16
    • 0023513717 scopus 로고
    • Learning, invariance, and generalization in high-order neural networks
    • Giles C., Maxwell T. Learning, invariance, and generalization in high-order neural networks. Applied Optics 1987, 26(23):4972-4978.
    • (1987) Applied Optics , vol.26 , Issue.23 , pp. 4972-4978
    • Giles, C.1    Maxwell, T.2
  • 17
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Networks 1989, 2(5):359-366.
    • (1989) Neural Networks , vol.2 , Issue.5 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 20
    • 34249683276 scopus 로고    scopus 로고
    • Wind field reproduction using neural networks and conditional simulation
    • Martínez-Vázquez Pedro, Rodríguez-Cuevas Neftalí Wind field reproduction using neural networks and conditional simulation. Engineering Structures 2007, 29(7):1442-1449.
    • (2007) Engineering Structures , vol.29 , Issue.7 , pp. 1442-1449
    • Martínez-Vázquez, P.1    Rodríguez-Cuevas Neftalí2
  • 22
    • 3042512063 scopus 로고    scopus 로고
    • Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems
    • Pei J.-S., Smyth A.W., Kosmatopoulos E.B. Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems. Journal of Sound and Vibration 2004, 275(3-5):693-718.
    • (2004) Journal of Sound and Vibration , vol.275 , Issue.3-5 , pp. 693-718
    • Pei, J.-S.1    Smyth, A.W.2    Kosmatopoulos, E.B.3
  • 23
    • 0002353129 scopus 로고    scopus 로고
    • A brief history of cellular automats
    • Sarkar P. A brief history of cellular automats. ACM Computer Surveys 2000, 32(1):80-107.
    • (2000) ACM Computer Surveys , vol.32 , Issue.1 , pp. 80-107
    • Sarkar, P.1
  • 24
    • 0000940017 scopus 로고
    • American Society of Civil Engineers Proceedings
    • Sabzevari A., Scanlan R.H. American Society of Civil Engineers Proceedings. J. Eng. Mech. Div. 1968, 94(EM2):489-519.
    • (1968) J. Eng. Mech. Div. , vol.94 , Issue.EM2 , pp. 489-519
    • Sabzevari, A.1    Scanlan, R.H.2
  • 25
    • 0032075482 scopus 로고    scopus 로고
    • Magnetic hysteresis modeling via feed-forward neural networks
    • Serpico C., Visone C. Magnetic hysteresis modeling via feed-forward neural networks. IEEE Transactions on Magnetics 1998, 34(3):623-628.
    • (1998) IEEE Transactions on Magnetics , vol.34 , Issue.3 , pp. 623-628
    • Serpico, C.1    Visone, C.2
  • 26
    • 0018014608 scopus 로고
    • The action of flexible bridges under wind. 1: flutter theory
    • Scanlan R.H. The action of flexible bridges under wind. 1: flutter theory. Journal of Sound and Vibration 1978, 60(2):187-199.
    • (1978) Journal of Sound and Vibration , vol.60 , Issue.2 , pp. 187-199
    • Scanlan, R.H.1
  • 28
    • 79954994846 scopus 로고    scopus 로고
    • The MATLAB EXPO: An introduction to MATLAB, SIMULINK, and the MATLAB Application Toolboxes
    • The MathWorks, Inc.
    • The MATLAB EXPO: An introduction to MATLAB, SIMULINK, and the MATLAB Application Toolboxes. The MathWorks, Inc.
  • 30
    • 68549099949 scopus 로고    scopus 로고
    • Hysteretic recurrent neural networks: a tool for modeling hysteretic materials and systems
    • Veeramani Arun S., Crews John H., Buckner Gregory D. Hysteretic recurrent neural networks: a tool for modeling hysteretic materials and systems. Smart Materials and Structures 2009, 18(7):1-15.
    • (2009) Smart Materials and Structures , vol.18 , Issue.7 , pp. 1-15
    • Veeramani, A.S.1    Crews, J.H.2    Buckner, G.D.3
  • 31
    • 0020495993 scopus 로고
    • Universality and complexity in cellular automata
    • Wolfram S. Universality and complexity in cellular automata. Physica D 1984, 10:1-35.
    • (1984) Physica D , vol.10 , pp. 1-35
    • Wolfram, S.1
  • 32
    • 0036906411 scopus 로고    scopus 로고
    • Refinements on aerodynamic stability analysis of super long-span bridges
    • Xiang H., Ge Y. Refinements on aerodynamic stability analysis of super long-span bridges. Journal of Wind Engineering and Industrial Aerodynamics 2000, 90(12-15):1493-1515.
    • (2000) Journal of Wind Engineering and Industrial Aerodynamics , vol.90 , Issue.12-15 , pp. 1493-1515
    • Xiang, H.1    Ge, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.