REVIEW THE BRIDGE MONITORING SYSTEM ON A REGULAR BASIS TO PREVENT EMERGENCY SITUATIONS

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Published Nov 30, 2022
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Vol. 1 No. 6 (2022): Journal of Integrated Education and Research

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Shavkat Xakimovich Abdazimov
Tashkent State Transport University, Tashkent, Uzbekistan
Hayotbek Zuhriddinov
Tashkent State Transport University, Tashkent, Uzbekistan

Abstract

Abstract As civil engineering structures are growing in dimension and longevity, there is an associated increase in concern regarding the maintenance of such structures. Bridges, in particular, are critical links in today’s trans- portation networks and hence fundamental for the devel- opment of society. In this context, the demand for novel damage detection techniques and reliable structural health monitoring systems is currently high. This paper presents a model-free damage detection approach based on machine learning techniques. The method is applied to data on the structural condition of a fictitious railway bridge gathered in a numerical experiment using a three-dimensional finite element model. Data are collected from the dynamic response of the structure, which is simulated in the course of the passage of a train, considering the bridge in healthy and two different damaged scenarios.

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How to Cite
Abdazimov , S. X., & Zuhriddinov , H. (2022). REVIEW THE BRIDGE MONITORING SYSTEM ON A REGULAR BASIS TO PREVENT EMERGENCY SITUATIONS. Journal of Integrated Education and Research, 1(6), 90–94. Retrieved from https://ojs.rmasav.com/index.php/ojs/article/view/468

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