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Methodology for vibration-based high...

Chen, Yangbo.

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Methodology for vibration-based highway bridge structural health monitoring.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Methodology for vibration-based highway bridge structural health monitoring./
作者:	Chen, Yangbo.
面頁冊數:	163 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1575.
Contained By:	Dissertation Abstracts International67-03B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3209288
ISBN:	9780542578335

Methodology for vibration-based highway bridge structural health monitoring.
Chen, Yangbo.

Methodology for vibration-based highway bridge structural health monitoring. - 163 p.

Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1575.

Thesis (Ph.D.)--University of California, Irvine, 2006.

Taking advantage of several instrumented highway bridges as testbed, this dissertation focuses on the development of a methodology that use measured vibration data to determine the structural integrity condition. The methodology development follows a probabilistic and statistical approach, aimed at properly accounting for the inherent uncertainty of the structural systems, the randomness of the excitations, the variation of the operational conditions and the uncertainty in the data processing.

ISBN: 9780542578335Subjects--Topical Terms:

783781
Engineering, Civil.

Methodology for vibration-based highway bridge structural health monitoring.
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500 $a Source: Dissertation Abstracts International, Volume: 67-03, Section: B, page: 1575.
500 $a Advisers: Maria Q. Feng; Masanobu Shinozuka.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2006.
520 $a Taking advantage of several instrumented highway bridges as testbed, this dissertation focuses on the development of a methodology that use measured vibration data to determine the structural integrity condition. The methodology development follows a probabilistic and statistical approach, aimed at properly accounting for the inherent uncertainty of the structural systems, the randomness of the excitations, the variation of the operational conditions and the uncertainty in the data processing.
520 $a A vision of structural health monitoring (SHM) is presented, in which SHM is a procedure of information collection in order to characterize the structure by a probabilistic model and to gradually diminish the modeling uncertainty. Such a model is useful for evaluating the current and future performance of the structure in a probabilistic sense. To achieve this goal, a recursive Bayesian filtering method is developed to assess the substructure integrity conditions by monitoring the ground motion excited transverse vibration. Meanwhile, a Bayesian probability updating method is developed to assess the superstructure conditions by monitoring traffic and the vertical vibration it induces. A stochastic model of traffic excitation is developed and this model reveals that spatial correlation is an intrinsic nature of the traffic excitation process on a bridge. An innovative approach based on traffic video processing is devised in this study to characterize the traffic excitation. Incorporating traffic information in the Bayesian updating, both the superstructure integrity and the vehicle weights are estimated from the vibration data.
520 $a The methods developed target the pre- and post-event structural condition assessment using relatively low amplitude vibration signals, where the structure has a relatively stable secant stiffness, instead of attempting to track the instantaneous structural properties during damaging events. By examining the hysteretic loops a structure experiences in low amplitude vibrations (regardless pre- or post-yielding), the identified stiffness is related to the residual deformation capacity of the structure.
520 $a Large-scale shaking table tests are performed to validate the idea of pre- and post-event assessment and the methodology developed herein. It represents the first effort to verify structural condition assessment methods using realistic bridge specimens subjected to realistic seismic damage and based on realistic vibration measurement.
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