Technical Papers
Jul 4, 2019

Noncontact Dynamic Displacement Measurement of Structures Using a Moving Laser Doppler Vibrometer

Publication: Journal of Bridge Engineering
Volume 24, Issue 9

Abstract

Monitoring of bridge displacements is critical for safe and cost-effective railroad operations. One of the essential parameters for determining the serviceability of the bridges is the dynamic displacement of the bridge during train-crossing events. The traditional methods for bridge displacement measurement often utilize linear variable differential transducers (LVDTs). However, irregular terrain, remote and inaccessible locations, and the height of the railroad bridges make implementation of these sensors for displacement measurements inadequate, risky, and time-consuming, and sometimes not possible altogether. In recent years, the use of laser Doppler vibrometers (LDVs) in the field of bridge displacement measurement has drawn attention as an alternative. In these applications, the vibrometer is generally placed on a fixed-point reference close to the bridge. However, it is not always possible to locate a fixed reference perpendicular to the bridge span to measure transverse displacements, especially when the bridge spans over a large opening. Furthermore, LDV sensors require calibration for every unique, different setup and are cumbersome to implement across a variety of different bridges. This paper presents a novel concept for bridge displacement measurement that enables the use of noncontact and reference-free moving vibrometers in the field without the need for calibration. The concept discussed herein proposes a method of compensating for measurement errors due to the angular and linear movement of the vibrometer to obtain accurate transverse displacement measurements of bridges. The results of this study showed that the signal difference between the measured outputs of a moving LDV system and an LVDT was between 10% and 15% peak-to-peak and between 2% and 5% root-mean square (RMS), which are generally considered acceptable levels of accuracy by railroad managers for field applications. An outdoor test was conducted in which an LDV mounted on an unmanned aerial system (UAS) was used to collect displacement measurements of a moving target structure representing a railroad bridge train-crossing event. Researchers conducted three outdoor experiments by collecting LDV and LVDT measurements from the UAS as it was hovering. The results from this outdoor testing showed that the signal difference between the measured dynamic data from the moving LDV and the LVDT was less than 5% (peak) and 10% (RMS). The reference-free dynamic displacement is generally accepted by railroad managers as an important index related to bridge deterioration, so this application can inform railroads in the field of prioritization decisions without the need for installed sensors. The ultimate goal of this research was to validate the applicability of the proposed method by mounting one LDV on a UAS and measuring dynamic bridge displacements with minimal setup and calibration.

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Acknowledgments

This work was funded by Transportation Research Board (TRB) Safety IDEA Project 32: Railroad Bridge Inspection for Maintenance and Replacement Prioritization Using Unmanned Aerial Vehicles (UAVs) with Laser Scanning Capabilities, Project 160416-0399. The authors greatly acknowledge this support and the direction from program managers Dr. Jo Allen Gause and Dr. Velvet Basemera-Fitzpatrick. Special thanks to the TRB external review panel for their inputs (Dr. Rafael Fierro, Dr. Duane Otter, Martita Mullen, Serge Zoruba, and Sandro Scola); Polytec Inc. and Dr. Vikrant Palan for the help, equipment, and resources; and Dr. Thomas Paez and Dr. Tom Baca for their valuable guidance. Students Travis Taylor and Emmanuel Ayorinde assisted in the outdoor field test as pilots.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 24Issue 9September 2019

History

Received: May 9, 2018
Accepted: Apr 25, 2019
Published online: Jul 4, 2019
Published in print: Sep 1, 2019
Discussion open until: Dec 4, 2019

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Graduate Student, Dept. of Electrical and Computer Engineering, Univ. of New Mexico, MSC01 1100, 1 University of New Mexico, Albuquerque, NM 87131-0001. ORCID: https://orcid.org/0000-0002-7742-6734.
Fernando Moreu, M.ASCE [email protected]
Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, Univ. of New Mexico, MSC01 1070, 1 University of New Mexico, Albuquerque, NM 87131-0001 (corresponding author). Email: [email protected]
Postdoctorate Associate, Dept. of Civil, Construction, and Environmental Engineering, Univ. of New Mexico, MSC01 1070, 1 University of New Mexico, Albuquerque, NM 87131-0001. ORCID: https://orcid.org/0000-0002-2708-6532.
Mahmoud Reda Taha, M.ASCE
Distinguished Professor and Department Chair, Dept. of Civil, Construction, and Environmental Engineering, Univ. of New Mexico, MSC01 1070, 1 University of New Mexico, Albuquerque, NM 87131-0001.
David Mascareñas
Deputy Director of the Los Alamos National Laboratory-Engineering Institute, National Security Education Center, Dynamics Summer School, Los Alamos Research Park, 4200 West Jemez Rd., Building 1, Suite 300, Los Alamos, NM 87544.

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