Strain-Based Fatigue Crack Monitoring of Steel Bridges using Wireless Elastomeric Skin Sensors

Li, Jian; Bennett, Caroline; Collins, William; Laflamme, Simon; Jo, Hongki

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Strain-Based Fatigue Crack Monitoring of Steel Bridges using Wireless Elastomeric Skin Sensors

2019-09-01
By Li, Jian ; Bennett, Caroline ; Collins, William

File Language:

English

Details

Creators:

Li, Jian ; Bennett, Caroline ; Collins, William ; Laflamme, Simon ; Jo, Hongki
Corporate Creators:

University of Kansas. Dept. of Civil, Environmental and Architectural Engineering
Corporate Contributors:

Kansas Department of Transportation. Bureau of Research ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA-KS-19-01
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

September 2015–August 2018
Corporate Publisher:

Kansas Department of Transportation. Bureau of Research
Abstract:

Fatigue cracks that develop in steel highway bridges under repetitive traffic loads are one of the major mechanisms that degrade structural integrity. If bridges are not appropriately inspected and maintained, fatigue cracks can eventually lead to catastrophic failures, in particular for fracture-critical bridges. Bridge owners, such as state Departments of Transportation (DOTs), typically rely on trained bridge inspectors to visually inspect steel bridges for fatigue cracking so that appropriate repairs can be applied before cracks reach critical sizes. However, visual inspections can be prone to error due to inconsistent skills and result interpretation among inspectors. Advanced approaches for detecting and/or monitoring of fatigue cracks have been investigated in both the structural health monitoring (SHM) and nondestructive testing (NDT) communities. An important challenge with the existing methods is their reliance on extensive human
Format:

PDF
Funding:

C2067
Download URL:

https://rosap.ntl.bts.gov/view/dot/62078/dot_62078_DS1.pdf
File Type:

[PDF - 7.45 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:8781466678d6b6d9951df01788db4989ba2eb0f4450498d027dae55a160c08872875d7614275ce191242d86e5418726000279bb4eddfdc487716b3d181c4a68d

File Language:

English

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