Non-parameter system identification of isolated bridge by neural networks algorithm

W. L. Chiang; J. P. Pu; T. Y. Liu

doi:10.1115/PVP2007-26589

Non-parameter system identification of isolated bridge by neural networks algorithm

W. L. Chiang, J. P. Pu, T. Y. Liu

Department of Civil Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

The objective of this theme is to non-parameter identify and to compare the dynamic properties of the Lion-head river bridge located at Chia-I. The east bound of the bridge is designed and constructed as conventional, and the west bound as bridge isolated by lead-rubber bearings. Signals collected from the accelerometers installed on the bridge by the Central Weather Bureau will be processed. Back-propagation algorithm of Neural networks will be adopted and the nonlinear behavior of lead-rubber bearings will be simulated.

Original language	English
Pages (from-to)	155-160
Number of pages	6
Journal	American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
Volume	8
DOIs	https://doi.org/10.1115/PVP2007-26589
State	Published - 2008
Event	2007 ASME Pressure Vessels and Piping Conference, PVP 2007 - San Antonio, TX, United States Duration: 22 Jul 2007 → 26 Jul 2007

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AB - The objective of this theme is to non-parameter identify and to compare the dynamic properties of the Lion-head river bridge located at Chia-I. The east bound of the bridge is designed and constructed as conventional, and the west bound as bridge isolated by lead-rubber bearings. Signals collected from the accelerometers installed on the bridge by the Central Weather Bureau will be processed. Back-propagation algorithm of Neural networks will be adopted and the nonlinear behavior of lead-rubber bearings will be simulated.

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M3 - 會議論文

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T2 - 2007 ASME Pressure Vessels and Piping Conference, PVP 2007

Y2 - 22 July 2007 through 26 July 2007

ER -

Non-parameter system identification of isolated bridge by neural networks algorithm

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