C11 Development of a System-Level Distributed Sensing Technique for Long-Term Monitoring of Concrete and Composite Bridges

Faraji, Susan; Wang, Xingwei; Mao, Zhu; Davids, Bill; Ghazanfari, Ehsan

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C11 Development of a System-Level Distributed Sensing Technique for Long-Term Monitoring of Concrete and Composite Bridges

2025-09-30
By Faraji, Susan ; Wang, Xingwei ; Mao, Zhu

File Language:

English

Details

Creators:

Faraji, Susan ; Wang, Xingwei ; Mao, Zhu ; Davids, Bill ; Ghazanfari, Ehsan
Corporate Creators:

University of Maine. Transportation Infrastructure Durability Center (TIDC)
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
Subject/TRT Terms:
Publication/ Report Number:

C11
Resource Type:

Tech Report
Geographical Coverage:

United States ; Maine
Corporate Publisher:

University of Maine. Transportation Infrastructure Durability Center (TIDC)
Abstract:

The research problem we are trying to solve is the long-term monitoring problem of bridges (e.g., concrete and composite bridges), using multiple modes of sensing technology including fiber optic (BOTDA), optical, and electromagnetic (GPR) sensors. We instrumented a composite bridge (Grist Mill Bridge in Hampden, ME) with sensing textiles. We have developed structural health monitoring algorithms to process the experimental measurement collected from Grist Mill Bridge (Hampden, ME) to study the long-term bridge monitoring problem. We have developed bridge models for extracting the flexural rigidity (EI) of the bridge. We will use it as one of the indicators for long-term health monitoring. We developed a bound approach to determine the structural properties of bridges by using single-point optical measurement.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/88978/dot_88978_DS1.pdf
File Type:

[PDF - 5.33 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:006578a73c6aaf1a2e3d3ac5e2078821f4e454592fdc21f076928a00d68fec9259dcded7f63e32c3af09497dea475470b1b74e081d4e8cc646ea8a279fa74e82

File Language:

English

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