Monitoring Bridge Dynamic Deformation Law Based on Digital Photography and Ground-Based RAR Technology
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Structural Health Monitoring Techniques · 3D Surveying and Cultural Heritage
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Science, Shandong Jianzhu University, Jinan 250101, China
Jinan Key Laboratory of Digital Twin and Intelligent Water Conservancy, Jinan 250013, China
Shandong Water Conservancy Survey and Design Institute Co., Ltd., Jinan 250013, China
School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China
Funding
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
References (28)
Show source-provided references
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