Monitoring Bridge Dynamic Deformation Law Based on Digital Photography and Ground-Based RAR Technology

Author:

Zhao Yongqian1,Zhang Guoqing23,Zang Gengchen4,Zhang Guojian4ORCID,Sang Wengang4,Zhang Sifeng5ORCID,Li Wanqiu4

Affiliation:

1. School of Science, Shandong Jianzhu University, Jinan 250101, China

2. Jinan Key Laboratory of Digital Twin and Intelligent Water Conservancy, Jinan 250013, China

3. Shandong Water Conservancy Survey and Design Institute Co., Ltd., Jinan 250013, China

4. School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China

5. School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China

Abstract

Dynamic deflection deformation is a crucial index which can reflect the healthy operation of bridges; due to their limitations, monitoring technologies (e.g., sensors, automatic total stations, and GPS) cannot perform high-frequency and whole-process non-contact dynamic deformation monitoring. Therefore, taking the Jinan Fenghuangshan Road Bridge as an example, this paper developed key low-cost and high-precision close-range photogrammetry technology and combined this with GB-RAR technology to remotely monitor bridge dynamic deformation. The results indicate that the measurement accuracy pertaining to the technology, which is based on an isometric virtual surface, is approximately 0.5 mm when the monitoring distance is 250 m, which can meet the accuracy requirements of bridge deformation monitoring. A vehicle’s dynamic load is transmitted in the form of a stress wave inside the bridge, and with regard to span, the wave is most significant in the 1/2 to 1/4 range. This study observes that the maximum deflection deformation of the bridge is 47.2 mm, which is within the allowable deformation range of the General Specifications for Design of Highway Bridges and Culverts. The research results herein provide technical support and data reference for safety monitoring, and for the reinforcement and maintenance of bridges such as the Fenghuangshan Road Bridge.

Funder

Open Research Fund of Key Laboratory of JiNan Digital Twins and Intelligent Water Conservancy

Shandong Jianzhu University Research Found Project for PhD

Shandong Province Department of Housing and Urban Rural Development Science and Technology Project

Horizontal Subject of 2021

National Natural Science Foundation Item

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference28 articles.

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