Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge [Brief]

Rahmani, Mehran; Ji, Xintong; Kiet, Sovann Reach

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Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge [Brief]

2022-09-01
By Rahmani, Mehran ; Ji, Xintong ; Kiet, Sovann Reach

File Language:

English

Details

Creators:

Rahmani, Mehran ; Ji, Xintong ; Kiet, Sovann Reach
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration
Subject/TRT Terms:
Publication/ Report Number:

Project 2033
Resource Type:

Brief
Geographical Coverage:

United States ; California
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

This study presents a major development to the wave method, a methodology used for identifying dynamic and material characteristics of a structure via motion waves in the structure. The research team tested the method for use in structural damage detection and damage localization in bridges following an earthquake, the latter being a challenging task. The main goal was to assess the ability of the method by applying it to a shake-table tested prototype bridge. The bridge tested at the University of Nevada Reno, was a 4-span reinforced concrete structure comprising two columns at each bent (6 columns total) and a flat slab. It was tested using seven base excitations, which progressively damaged the bridge to failure.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/64372/dot_64372_DS1.pdf
File Type:

[PDF - 246.90 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha256:c2576daf2d4439514d0b345354c83050e808479e08eeff1c4e7a6803f43d75f0

File Language:

English

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