Quantitative Acoustic Emission Monitoring of Fatigue Cracks in Fracture Critical Steel Bridges

Schumacher, Thomas; McConnell, Jennifer Righman; Mhamdi, Lassaad; Ahmed, Shafique

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Quantitative Acoustic Emission Monitoring of Fatigue Cracks in Fracture Critical Steel Bridges

2014-01-01
By Schumacher, Thomas ; McConnell, Jennifer Righman ; Mhamdi, Lassaad

File Language:

English

Details

Creators:

Schumacher, Thomas ; McConnell, Jennifer Righman ; Mhamdi, Lassaad ; Ahmed, Shafique
Corporate Creators:

University of Delaware. Center for Innovative Bridge Engineering
Corporate Contributors:

United States. Department of Transportation. Research and Innovative Technology Administration. Office of the Administrator ; United States. Federal Highway Administration ; Oregon. Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

CAIT-UTC-007
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Rutgers University. Center for Advanced Infrastructure and Transportation
Abstract:

The objective of this research is to evaluate the feasibility to employ quantitative acoustic emission (AE) techniques for monitoring of fatigue crack initiation and propagation in steel bridge members. Three A36 compact tension steel specimens were tested in the laboratory according the ASTM E647. AE sensor networks were deployed and recorded AE during the fatigue-type loading. Noise from the load application points represented a significant challenge. However, a number of events could be located and for a selected few a moment tensor inversion (MTI) was performed. Despite the challenges, the methodology has been completely established and evaluated, and can be used in future testing.
Format:

PDF
Funding:

DTRT12-G-UTC16
Download URL:

https://rosap.ntl.bts.gov/view/dot/27215/dot_27215_DS1.pdf
File Type:

[PDF - 2.99 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:451c58e919f1b9bb7259149bd9fc3afa20884a075bb4becc036fd37903004fd80836ccf0f33591f0a7d30e41b8eaef901532e6be8ba930984660b89dea9708f4

File Language:

English

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