Lidar-Based Vibration Monitoring for Assessing Safety of Damaged Bridges

Wittich, Christine E; Wood, Richard L.; Alkady, Khalid; Mid-America Transportation Center for Transportation Safety and Equity (MATC-TSE) Region 7 University Transportation Center (UTC); University of Nebraska-Lincoln. Department of Civil and Environmental Engineering

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Lidar-Based Vibration Monitoring for Assessing Safety of Damaged Bridges

2024-09-01
By Wittich, Christine E ; Wood, Richard L. ; Alkady, Khalid

[PDF-2.21 MB]

English

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Creators:

Wittich, Christine E ; Wood, Richard L. ; Alkady, Khalid

Wittich, Christine E ; Wood, Richard L. ; Alkady, Khalid Less -
Corporate Creators:

Mid-America Transportation Center for Transportation Safety and Equity (MATC-TSE) Region 7 University Transportation Center (UTC) ; University of Nebraska-Lincoln. Department of Civil and Environmental Engineering

Mid-America Transportation Center for Transportation Safety and Equity (MATC-TSE) Region 7 University Transportation Center (UTC) ; University of Nebraska-Lincoln. Department of Civil and Environmental Engineering Less -
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

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Algorithms Bridges Data Collection Inspection Laser Radar Methodology Structural Health Monitoring Vibration
Publication/ Report Number:

25-1121-0005-004-51
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

March 2020 – December 2022
Corporate Publisher:

Mid-America Transportation Center for Transportation Safety and Equity (MATC-TSE) Region 7 University Transportation Center (UTC)
Abstract:

While there has been substantial research conducted on the use of Ground-Based Lidar (GBL) in monitoring the static deformation of civil structures, there have been only a few studies on the use of GBL in monitoring the dynamic vibrations of structures, which is critical information for structural health monitoring (SHM). Robust GBL-based vibration monitoring frameworks can address some of the limitations of traditional contact-based SHM frameworks, which include limited number of sensors and the need for physical access to place instrumentation. The main objective of this study is to develop and comprehensively validate a novel end-to-end framework to monitor the dynamic vibrations of structures using GBL through extensive experimentation in a controlled laboratory environment. In this project, a novel two-step spatiotemporal algorithm was developed to extract the dynamic vibrations of structures from the dynamic point clouds. The framework leverages the Density-based Spatial Clustering of Applications with Noise (DBSCAN) and change detection algorithms. The impact of several GBL-based parameters on the accuracy of the operational modal analysis results was investigated across six single-degree-of-freedom structures with unique natural frequencies. The GBL-based parameters included the resolution, quality, and point-to-point distance of the dynamic point clouds. Accelerometers and infrared-based sensors were used for the validation of GBL measurements and operational modal analysis results. This study concludes that GBL can be used reliably for remotely monitoring the dynamic response of structures at a high spatial resolution. However, further research is warranted to evaluate the full extents of the proposed framework.
Format:

PDF
Funding:

69A3551747107
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:f790b277ced0854112b9eda84d70c488c0149fabf36b97db757853a8e3f7d4f8b11cad12ab170db93140c00ccf2685aa0ebb920648151865d7dc1426ba5c6b1b
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https://rosap.ntl.bts.gov/view/dot/77887/dot_77887_DS1.pdf
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Lidar-Based Vibration Monitoring for Assessing Safety of Damaged Bridges

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