Technical Papers
Dec 16, 2022

A Biaxial Discrete Diode Position Sensor for Rapid Postevent Structural Damage Assessment

Publication: Journal of Structural Engineering
Volume 149, Issue 3

Abstract

The interstory drift ratio (IDR) is a key engineering parameter utilized by several codes and standards to quantify structural performance and correlate with potential structural damage following a seismic event. A number of methods have been explored for measuring building interstory drift, including approaches that rely on accelerometers, linear variable differential transformers (LVDTs), global position systems, combinations of cameras and optical sensors, and, most recently, on machine learning surrogate models. Nevertheless, limitations related to accuracy, cost, and challenges associated with data processing and interpretation still hinder the broad utilization of such methods for rapid post-event damage assessment. This paper presents a recently developed optical sensor, termed a biaxial discrete diode position sensor (2DDPS), which is able to directly measure earthquake transient and residual interstory drift in the two horizontal directions and transmit structure observables to offsite locations in near real-time. The sensor performance is herein evaluated through a series of shake-table tests carried out on the single 2DDPS to provide a statistical basis for sensor performance evaluations and on the 2DDPS installed on a 3D two-story frame subject to realistic earthquake biaxial excitation to evaluate system performance under realistic deployment conditions. The experimental campaign design and execution has been supported by advanced computational models. Results of the investigation demonstrate that the 2DDPS can reliably measure transient and residual bidirectional interstory drifts with an accuracy of the order of a millimeter. A critical review of the observed error and strategies to reduce it are also provided. Evidence from the presented study demonstrates that the 2DDPS has the potential to be utilized as a key tool for rapid, postevent decision-making and field inspection prioritization.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors would like to thank Dr. Mehmet Celebi and an anonymous reviewer for providing valuable comments that helped improve the quality of the paper. This work was supported by the US Department of Energy, Office of Nuclear Safety Research and Development Program (NSRD) - AWD-01-00002859. The DDPSs were fabricated at the University of Nevada, Reno Center for Civil Engineering Earthquake Research. The support and expert contributions of Dr. Patrick Laplace, Chad Lyttle, and Todd Lyttle are gratefully acknowledged. Moreover, the authors would like to thank Dr. Maryam Tabbakhha of Lawrence Berkeley National Laboratory for executing a large number of numerical simulations that supported the design and planning of the experimental campaign on the 3D frame and UNR graduate research assistant Junfei Huang for providing DRM model simulation data.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 149Issue 3March 2023

History

Received: Jun 21, 2022
Accepted: Oct 19, 2022
Published online: Dec 16, 2022
Published in print: Mar 1, 2023
Discussion open until: May 16, 2023

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Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Nevada, Reno, 1664 N Virginia St., Reno, NV 89557; Visiting Faculty Scientist, Lawrence Berkeley National Laboratory, Energy Geosciences Division, 1 Cyclotron Rd., Berkeley, CA 94720 (corresponding author). ORCID: https://orcid.org/0000-0003-4545-6303. Email: [email protected]; [email protected]
Rowland Perez [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Nevada, Reno, 1664 N Virginia St., Reno, NV 89557. Email: [email protected]
Jason Coates [email protected]
Equipment Technician, College of Engineering, Computer Science, and Construction Management, Chico State Univ., 400 West First St., Chico, CA 95929. Email: [email protected]
David McCallen, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Nevada, Reno, 1664 N Virginia St., Reno, NV 89557; Senior Scientist, Lawrence Berkeley National Laboratory, Energy Geosciences Division, 1 Cyclotron Rd., Berkeley, CA 94720. Email: [email protected]

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