Empowering the Indiana Bridge Inventory Database Toward Rapid Seismic Vulnerability Assessment

Author:

Bonthron Leslie,Beck Corey,Lund Alana,Mahmud Farida,Zhang Xin,Orellana Montano Rebeca,Dyke Shirley J.,Ramirez Julio,Cao Yenan,Mavroeidis George

Abstract

With the recent identification of the Wabash Valley Seismic Zone in addition to the New Madrid Seismic Zone, Indiana’s Department of Transportation (INDOT) has become concerned with ensuring the adequate seismic performance of their bridge network. While INDOT made an effort to reduce the seismic vulnerability of newly-constructed bridges, many less recent bridges still have the potential for vulnerability. Analyzing these bridges’ seismic vulnerability is a vital task. However, developing a detailed dynamic model for every bridge in the state using information from structural drawings is rather tedious and time-consuming. In this study, we develop a simplified dynamic assessment procedure using readily-available information from INDOT’s Bridge Asset Management Program (BIAS), to rapidly identify vulnerable bridges throughout the state. Eight additional data items are recommended to be added into BIAS to support the procedure. The procedure is applied in the Excel file to create a tool, which is able to automatically implement the simplified bridge seismic analysis procedure. The simplified dynamic assessment procedure and the Excel tool enable INDOT to perform seismic vulnerability assessment and identify bridges more frequently. INDOT can prioritize these bridges for seismic retrofits and efficiently ensure the adequate seismic performance of their assets.

Publisher

Purdue University

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enabling Rapid Large-Scale Seismic Bridge Vulnerability Assessment Through Artificial Intelligence;Transportation Research Record: Journal of the Transportation Research Board;2022-08-12

2. Database Enabled Rapid Seismic Vulnerability Assessment of Bridges;Transportation Research Record: Journal of the Transportation Research Board;2021-08-11

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