|Table of Contents|

[1] Wang Hao, Li Aiqun, Miao Changqing,. Finite element model updating and validatingof Runyang Suspension Bridge based on SHMS [J]. Journal of Southeast University (English Edition), 2005, 21 (4): 474-479. [doi:10.3969/j.issn.1003-7985.2005.04.020]
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Finite element model updating and validatingof Runyang Suspension Bridge based on SHMS()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
21
Issue:
2005 4
Page:
474-479
Research Field:
Traffic and Transportation Engineering
Publishing date:
2005-12-30

Info

Title:
Finite element model updating and validatingof Runyang Suspension Bridge based on SHMS
Author(s):
Wang Hao Li Aiqun Miao Changqing
College of Civil Engineering, Southeast University, Nanjing 210096, China
Keywords:
suspension bridge finite element model updating model validating baseline model structural health monitoring system(SHMS)
PACS:
U442;U448
DOI:
10.3969/j.issn.1003-7985.2005.04.020
Abstract:
Based on the finite element(FE)program ANSYS, a three-dimensional model for the Runyang Suspension Bridge(RSB)is established.The structural natural frequency, vibration mode, stress and displacement response under various load cases are given.A new method of FE model updating is presented based on the physical meaning of sensitivity and the penalty function concept.In this method, the structural model is updated by modifying the parameters of design, and validated by structural natural vibration characteristics, stress response as well as displacement response.The design parameters used for updating are bounded according to measured static response and engineering judgment.The FE model of RSB is updated and validated by the measurements coming from the structural health monitoring system(SHMS), and the FE baseline model reflecting the current state of RSB is achieved.Both the dynamic and static results show that the method is effective in updating the FE model of long span suspension bridges.The results obtained provide an important research basis for damage alarming and health monitoring of the RSB.

References:

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Memo

Memo:
Biographies: Wang Hao(1980—), male, graduate;Li Aiqun(corresponding author), male, doctor, professor, aiqunli@public1.ptt.js.cn.
Last Update: 2005-12-20