Non-Contact Acoustic Emission Approach for Rail Health Monitoring

Jia, Lei; Park, Jee Woong; Zhu, Ming; Jiang, Yingtao; Teng, Hualiang (Harry); Qiu, Lihao

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Non-Contact Acoustic Emission Approach for Rail Health Monitoring

2024-07-01
By Jia, Lei ; Park, Jee Woong ; Zhu, Ming ; ...

File Language:

English

Details

Creators:

Jia, Lei ; Park, Jee Woong ; Zhu, Ming ; Jiang, Yingtao ; Teng, Hualiang (Harry) ; Qiu, Lihao
Corporate Creators:

University of Nevada, Las Vegas. Department of Civil and Environmental Engineering ; University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability. USDOT Tier 1
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:

Acoustic Detectors Acoustic Emission Acoustic Emission Detection Defects Monitoring Prototype Tests Rail Defect Detection Rail Health Monitoring Railroad Infrastructure Railroad Operations Railroad Tracks Structural Health Monitoring Wavelet Analysis Wavelets
Publication/ Report Number:

RailTEAM UNLV-3
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report UNLV-3
Corporate Publisher:

University of Nevada. University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability
Abstract:

Rail defects, whether internal or external, present significant safety risks. Acoustic Emission (AE) technology has emerged as a promising technique for monitoring damage progression and detecting these rail defects. This project addresses this critical concern by testing two different AE detection systems: 1) bone-conduct sensors for contact-based AE detection, and 2) air-coupled optical microphones for non-contact AE detection. The goal of the project is to investigate AE signal propagation using both rail-mounted and vehicle-mounted methods, enhancing our understanding of AE signals in relation to defects and their effectiveness in identifying them.
Format:

PDF
Funding:

69A3551747132
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:8053e84c7828797dae427b6a4a7f96a092bd1bcac64284ef1acaa436426e1b9de8aa9d0006c25856db4c2f9553443ba16b344a4d4c7937b17a93b6af7c55b0b6
Download URL:

https://rosap.ntl.bts.gov/view/dot/80404/dot_80404_DS1.pdf
File Type:

[PDF - 3.46 MB ]

File Language:

English

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