Technical Papers
Oct 12, 2017

Scour Depth Determination of Bridge Piers Based on Time-Varying Modal Parameters: Application to Hangzhou Bay Bridge

Publication: Journal of Bridge Engineering
Volume 22, Issue 12

Abstract

Scour of bridge piers has been demonstrated to be one of the most common causes of bridge instability and destruction. This article presents a long-term approach to scour depth determination for a cable-stayed bridge based on time-varying modal parameters generated from a structural health monitoring system. The finite-element model, updated according to dynamic testing before opening the bridge to traffic, was employed to identify the sensitive modes for scour depth variation and establish the numerical relationship between scour depth and the modal parameters. Afterward, the time-varying modal parameters were determined using monitored acceleration data sets. Numerical investigation has indicated that these modal parameters are also significantly impacted by environmental conditions, which will cause confusion when determining scour depth. Nonlinear principal component analysis (NLPCA) was chosen to separate the environmental influence from the scour depth influence on modal parameters. Finally, comparison of the scour depth determined based on modal parameters with the results of visual inspection by divers exhibits the effectiveness of the proposed approach. Moreover, this study could provide guidelines for future decision making regarding the early warning and maintenance of bridge piers.

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Acknowledgments

This study was financially supported by the National Natural Science Foundation of China (NSFC) (Grants 51478149, 51678204, and 51638007), the Ministry of Science and Technology of the People’s Republic of China (MOST) (Grants 2013CB036305, 2015DFG82080, and 2014AA110401), and the Ningbo Science and Technology Project (Grant 2015C110020).

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 22Issue 12December 2017

History

Received: Jun 24, 2016
Accepted: Jul 6, 2017
Published online: Oct 12, 2017
Published in print: Dec 1, 2017
Discussion open until: Mar 12, 2018

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Authors

Affiliations

Shunlong Li, Aff.M.ASCE [email protected]
Associate Professor, Key Lab of Intelligent Disaster Mitigation of the Ministry of Industrial and Information Technology and Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China (corresponding author). E-mail: [email protected]
Shaoyang He
Engineer, CCCC Highway Consultants CO., Ltd. (HPDI), Beijing 100088, China.
Hui Li, Aff.M.ASCE
Professor, Key Lab of Intelligent Disaster Mitigation of the Ministry of Industrial and Information Technology and Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin Institute of Technology, Harbin 150001, China.
Yao Jin
Engineer, CCCC Highway Consultants CO., Ltd. (HPDI), Beijing 100088, China.

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