An adaptive field detection method for bridge scour monitoring using motion-sensing radio transponders (RFIDs).

Papanicolaou, Thanos; Moustakidis, Iordanis V.; Tsakiris, Achilleas G.; Wilson, Christopher G.; Abban, Benjamin; University of Iowa. Civil and Environmental Engineering

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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An adaptive field detection method for bridge scour monitoring using motion-sensing radio transponders (RFIDs).

2014-01-01
By Papanicolaou, Thanos ; Moustakidis, Iordanis V. ; Tsakiris, Achilleas G. ; ...

[PDF-3.34 MB]

English

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Creators:

Papanicolaou, Thanos ; Moustakidis, Iordanis V. ; Tsakiris, Achilleas G. ; Wilson, Christopher G. ; Abban, Benjamin

Papanicolaou, Thanos ; Moustakidis, Iordanis V. ; Tsakiris, Achilleas G. ; Wilson, Christopher G. ; Abban, Benjamin Less -
Corporate Creators:

University of Iowa. Civil and Environmental Engineering
Corporate Contributors:

Iowa. Highway Research Board
Subject/TRT Terms:

[+]

Bridges Field Tests Radio Frequency Identification Scour Sensors State Of The Art Structural Health Monitoring
Publication/ Report Number:

TR-617
Resource Type:

Tech Report
Geographical Coverage:

Iowa
Corporate Publisher:

Iowa. Dept. of Transportation
Abstract:

A comprehensive field detection method is proposed that is aimed at developing advanced capability for

reliable monitoring, inspection and life estimation of bridge infrastructure. The goal is to utilize Motion-Sensing Radio Transponders (RFIDS) on fully adaptive bridge monitoring to minimize the problems inherent

in human inspections of bridges. We developed a novel integrated condition-based maintenance (CBM)

framework integrating transformative research in RFID sensors and sensing architecture, for in-situ scour

monitoring, state-of-the-art computationally efficient multiscale modeling for scour assessment.
Format:

PDF
Funding:

18055000
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:022619b803eda13b65a985f6657d454da31f734463e16f8aee704d65a06165a7
Download URL:

https://rosap.ntl.bts.gov/view/dot/28403/dot_28403_DS1.pdf
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An adaptive field detection method for bridge scour monitoring using motion-sensing radio transponders (RFIDs).

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