A structural health monitoring method proposal based on optical scanning and computational models

Wendy Flores-Fuentes, Ivan Yeniseysk Alba-Corpus, Oleg Sergiyenko and Julio C. Rodríguez-Quiñonez

International Journal of Distributed Sensor Networks, 2022, vol. 18, issue 8, 15501329221112606

Abstract: This article proposes a method for continuous bridge displacement monitoring combining the dynamic triangulation scanning and load estimation by vehicle image recognition. The vehicle–bridge interaction is a non-stationary dynamic process parameter of high relevance to understanding the static instability behavior of bridges. The knowledge of the load on a bridge in the specific time when its structural spatial coordinates are measured allows correlating the bridge displacement with the effect of vehicle–bridge interaction. The evaluation of such correlation is mandatory in order to verify if the observed bridge displacement is due to the nature of its operation or due to it is presenting structural damage. The proposed method is continuous structural health monitoring method, based on the combination of three approaches evaluated at laboratory environment: (1) a three-dimensional optical scanning system for displacement measurement, (2) a load measurement system for vehicle–bridge interaction assessment, and (3) a two-measurement systems data correlation; to be implemented in bridges at a real environment to collect their historical behavior. Overall, for each approach, the measurement systems’ principles, the laboratory experimental methodology followed, and results obtained are presented.

Keywords: Bridge; displacement; structural health monitoring; vehicle–bridge interaction; optical scanning; image processing; data correlation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:18:y:2022:i:8:p:15501329221112606

DOI: 10.1177/15501329221112606

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