Open Access
ARTICLE
A Feasibility Study of a Comprehensive Evaluation Method for Bridge Static and Dynamic Performance Based on Trend Analysis of Monitoring Data
Yongjun Lu1, Zhili Guo2, Yongze Ye3, Xin Liu4, Yao Jin5, Xiang Xu4,6,*
1 Yichang Highway Construction and Maintenance Center, Yichang, China
2 China Railway Major Bridge Reconnaissance & Design Institute Group Co., Ltd. (BRDI), Wuhan, China
3 China Railway Bridge and Tunnel Technologies Co., Ltd., Nanjing, China
4 School of Transportation, Southeast University, Nanjing, China
5 Faculty of Engineering and IT, University of Melbourne, Melbourne, Australia
6 State Key Laboratory of Safety, Durability and Healthy Operation of Long Span Bridges, Nanjing, China
* Corresponding Author: Xiang Xu. Email: 
(This article belongs to the Special Issue: Advances in Intelligent Operation and Maintenance Applications for Bridge Structures)
Structural Durability & Health Monitoring https://doi.org/10.32604/sdhm.2026.078396
Received 30 December 2025; Accepted 15 April 2026; Published online 27 April 2026
Abstract
To fully leverage structural health monitoring data for bridge condition assessment, this study proposes a comprehensive evaluation method that integrates static and dynamic indicators using monitoring data, and demonstrates its feasibility through a short-term monitoring-based trend analysis on a newly built bridge. First, based on statistical principles, the Weibull distribution is employed to extract the dead-load component from static monitoring data. Building upon this, a static performance evaluation method is established by incorporating spatial uniformity and trend non-uniformity coefficients. Subsequently, spectral analysis is performed on the main girder acceleration data to extract fundamental frequency information and apply temperature correction, establishing a method for assessing the bridge’s dynamic performance. Finally, considering the nonlinear impact of single-indicator deterioration on overall bridge performance, variable weight theory is introduced to construct a static-dynamic integrated assessment model that accounts for indicator equilibrium. Using actual monitoring data from an arch bridge as an example, the bridge’s static, dynamic, and comprehensive scores in the second month after opening were 95.11, 96.21, and 95.66, respectively. Over the following months, all scores remained around 94 points with a gradual decline, confirming the bridge’s good condition and the effectiveness of the proposed comprehensive assessment method for short-term monitoring-based trend analysis. The findings indicate that minor fluctuations in evaluation scores stem from uncertainties in the assessment process, primarily related to traffic randomness, environmental effects, and residual data processing errors. This method enables unified dimensional quantification and trend tracking of a bridge’s static and dynamic performance without requiring bridge closure, providing a quantitative basis for performance comparison and maintenance decision-making during the service phase.
Keywords
Structural health monitoring; static performance; dynamic performance; dead load effect; variable-weight theory; trend analysis
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