Strain-based FEM-aided bridge health monitoring (Conference Presentation)

B. Ghahremani; A. Enshaeian; P. Rizzo

doi:10.1117/12.2657452

18 April 2023 Strain-based FEM-aided bridge health monitoring (Conference Presentation)

B. Ghahremani, A. Enshaeian, P. Rizzo

Proceedings Volume 12486, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023; 124860I (2023) https://doi.org/10.1117/12.2657452
Event: SPIE Smart Structures + Nondestructive Evaluation, 2023, Long Beach, California, United States

Abstract

This article presents a physics-based structural health monitoring (SHM) approach applied to a pretensioned adjacent concrete box beams bridge to predict the deformations associated with the presence of transient loads. A detailed finite element model was generated using a commercial software to create an accurate model of the bridge. The presence of concentrated loads on the deck at different locations was simulated, and a static analysis was performed to quantify the deformations induced by the loads. Such deformations were then compared to the strains recorded by an array of wireless strain gages during a controlled truckload test performed by an independent third-party. The test consisted of twenty low-speed crossings at controlled distances from the bridge parapets using a truck with a certified load. The array was part of a SHM system that consisted of 30 wireless strain gages.

Conference Presentation

Citation Download Citation

B. Ghahremani, A. Enshaeian, and P. Rizzo "Strain-based FEM-aided bridge health monitoring (Conference Presentation)", Proc. SPIE 12486, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 124860I (18 April 2023); https://doi.org/10.1117/12.2657452

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