Identification of operational bridge structure responses using statistical learn theory

Weiming Li; Lieyun Ding; Hongping Zhu; Yong Xia

Identification of operational bridge structure responses using statistical learn theory

Weiming Li, Lieyun Ding, Hongping Zhu, Yong Xia

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

A method to indentify the responses of an operational bridge structure to dynamitic loads under multi- uncertain factors is proposed by using the principle of structural risk minimum from statistical learn theory. The bridge responses with a moving vehicle are numerical simulated based on a simplified model under road excitations and Gaussian white noises, and the structural risk of the identifications are investigated. The under-fitting and the over-fitting results are compared to the identification results with statistical learn theory concerning the double uncertainties, which to illustrate the method validity. The further work of the method is discussed.

Original language	English
Pages (from-to)	116-119
Number of pages	4
Journal	Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
Volume	37
Issue number	12
Publication status	Published - 1 Dec 2009
Externally published	Yes

Keywords

Algorithm
Bridge
Dynamic response
Statistical
Structural risk minimization
System identification

ASJC Scopus subject areas

General Computer Science

Cite this

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abstract = "A method to indentify the responses of an operational bridge structure to dynamitic loads under multi- uncertain factors is proposed by using the principle of structural risk minimum from statistical learn theory. The bridge responses with a moving vehicle are numerical simulated based on a simplified model under road excitations and Gaussian white noises, and the structural risk of the identifications are investigated. The under-fitting and the over-fitting results are compared to the identification results with statistical learn theory concerning the double uncertainties, which to illustrate the method validity. The further work of the method is discussed.",

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author = "Weiming Li and Lieyun Ding and Hongping Zhu and Yong Xia",

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journal = "Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)",

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publisher = "Huazhong University of Science and Technology",

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Identification of operational bridge structure responses using statistical learn theory. / Li, Weiming; Ding, Lieyun; Zhu, Hongping et al.
In: Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), Vol. 37, No. 12, 01.12.2009, p. 116-119.

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - Identification of operational bridge structure responses using statistical learn theory

AU - Li, Weiming

AU - Ding, Lieyun

AU - Zhu, Hongping

AU - Xia, Yong

PY - 2009/12/1

Y1 - 2009/12/1

N2 - A method to indentify the responses of an operational bridge structure to dynamitic loads under multi- uncertain factors is proposed by using the principle of structural risk minimum from statistical learn theory. The bridge responses with a moving vehicle are numerical simulated based on a simplified model under road excitations and Gaussian white noises, and the structural risk of the identifications are investigated. The under-fitting and the over-fitting results are compared to the identification results with statistical learn theory concerning the double uncertainties, which to illustrate the method validity. The further work of the method is discussed.

AB - A method to indentify the responses of an operational bridge structure to dynamitic loads under multi- uncertain factors is proposed by using the principle of structural risk minimum from statistical learn theory. The bridge responses with a moving vehicle are numerical simulated based on a simplified model under road excitations and Gaussian white noises, and the structural risk of the identifications are investigated. The under-fitting and the over-fitting results are compared to the identification results with statistical learn theory concerning the double uncertainties, which to illustrate the method validity. The further work of the method is discussed.

KW - Algorithm

KW - Bridge

KW - Dynamic response

KW - Statistical

KW - Structural risk minimization

KW - System identification

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JO - Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)

JF - Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)

IS - 12

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Identification of operational bridge structure responses using statistical learn theory

Abstract

Keywords

ASJC Scopus subject areas

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