Dynamic parameter identification technology of bridge health monitoring based on bottom monitoring data

Xianming Zhang

doi:10.1117/12.2637690

8 May 2022 Dynamic parameter identification technology of bridge health monitoring based on bottom monitoring data

Xianming Zhang

Author Affiliations +

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122491U (2022) https://doi.org/10.1117/12.2637690
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

The identification of dynamic parameters of bridge health monitoring aims to reflect the inherent dynamic characteristics of bridge structure, and is an important part of bridge health monitoring system, which is of great significance to longterm health monitoring and operational safety of bridges. According to incomplete statistics, at present, there are more than 20 public railway bridges with a span greater than or equal to 300m in normal operation in the world. Based on the existing health monitoring technical condition evaluation methods, the analytic hierarchy process (AHP) principle is mostly used to establish the analytic hierarchy process model of monitoring bridges, and the evaluation results of the bottom indicators are analyzed layer by layer and summarized to the top level to complete the evaluation of the technical condition of monitoring bridges. Based on the underlying monitoring data, the dynamic parameter identification technology of bridge health monitoring is studied in this paper. The health monitoring system of bridge structure collects relevant data of the environmental function and dynamic and static response of the test bridge under the related load through a variety of sensors reasonably installed on it, and processes the results of relevant data by means of system identification method and evaluation method, so as to judge the health state of the structure and make the decision of bridge maintenance and repair based on this.

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Xianming Zhang "Dynamic parameter identification technology of bridge health monitoring based on bottom monitoring data", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122491U (8 May 2022); https://doi.org/10.1117/12.2637690

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KEYWORDS

Bridges

Sensors

Safety

Environmental monitoring

Data processing

Environmental sensing

Mathematical modeling

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