Study on the Reliability Evaluation Method and Diagnosis of Bridges in Cold Regions Based on the Theory of MCS and Bayesian Networks

Li, Zhonglong; Ji, Wei; Zhang, Yao; Ge, Sijia; Bing, Haonan; Zhang, Mingjun; Ye, Zhifeng; Lv, Baowei

doi:10.3390/su142113786

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…They developed a novel Bridge Health Monitoring System based on safety assessment vectors. Li et al 19 introduced a new security assessment method that combines Monte Carlo simulation (MCS) and Bayesian theory. This method enables reliable assessment and back-diagnosis of the overall safety performance of reinforced concrete bridges in cold regions.…”

Section: Introductionmentioning

confidence: 99%

Research on safety condition assessment methodology for single tower steel box girder suspension bridges over the sea based on improved AHP-fuzzy comprehensive evaluation

Su,

Guo,

Wang

et al. 2024

Sci Rep

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In order to propose a reliable method for assessing the safety condition for single-tower steel box girder Suspension bridges over the sea, a condition monitoring system is established by installing sensors on the bridge structure. The system is capable of gathering monitoring data that influence the safety status of the bridge. These include cable tension, load on the main tower and pylon, bearing displacement, wind direction, wind speed, and ambient temperature and humidity. Furthermore, an improved Analytic Hierarchy Process (AHP) algorithm is developed by integrating a hybrid triangular fuzzy number logic structure. This improvement, coupled with comprehensive fuzzy evaluation methods, improves the consistency, weight determination, and security evaluation capabilities of the AHP algorithm. Finally, taking the No.2 Channel Bridge as an example and based on the data collected by the health monitoring system, the application of the safety assessment method proposed in this paper provides favorable results in evaluating the overall safety status of the bridge in practical engineering applications. This provides a basis for management decisions by bridge maintenance departments. This project confirms that the research results can provide a reliable method for assessing the security status of relevant areas.

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Section: Introductionmentioning

confidence: 99%

Research on safety condition assessment methodology for single tower steel box girder suspension bridges over the sea based on improved AHP-fuzzy comprehensive evaluation

Su,

Guo,

Wang

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…They developed a novel Bridge Health Monitoring System based on safety assessment vectors. Li, Z et al [19] introduced a new security assessment method that combines Monte Carlo simulation (MCS) and Bayesian theory. This method enables reliable assessment and reverse diagnosis of the overall safety performance of reinforced concrete bridges in cold regions.…”

Section: Introductionmentioning

confidence: 99%

Research on Safety Condition Assessment Methodology for Single Tower Steel Box Girder Suspension Bridges Over The Sea Based on Improved AHP-Fuzzy Comprehensive Evaluation

Su,

Guo,

Wang

et al. 2024

Preprint

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In order to propose a reliable method for assessing the safety condition for single-tower steel box girder Suspension bridges over the sea, a condition monitoring system is established by installing sensors on the bridge structure. This system collects monitoring data on cable forces, bridge strains, displacements and other parameters that affect the safety condition of the bridge. Furthermore, an improved Analytic Hierarchy Process (AHP) algorithm is developed by integrating a hybrid triangular fuzzy number logic structure. This improvement, coupled with comprehensive fuzzy evaluation methods, improves the consistency, weight determination, and security evaluation capabilities of the AHP algorithm. In addition, a case study will be conducted on the 2nd Channel Bridge to build the health monitoring system and evaluate the safety status of the bridge. The implemented health monitoring system and assessment of the overall safety condition of the bridge have shown positive results in practical engineering applications and provided a basis for decision-making in bridge maintenance departments. This project confirms that the research results can provide a reliable method for assessing the security status for relevant areas.

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“…Thus, early damage detection of bridges has become an important and indispensable part of structural health monitoring (SHM) systems for high-speed railways, and the application of new methods or new materials in the field of SHM has been widely studied [3][4][5][6][7][8]. Extensive research efforts have been devoted to damage detection, and many effective methods have been proposed [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Damage Detection of High-Speed Railway Box Girder Using Train-Induced Dynamic Responses

Wang

Yang

2023

Sustainability

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This paper proposes a damage detection method based on the train-induced responses of high-speed railway box girders. Under the coupling effects of bending and torsion, the traditional damage detection method based on the Euler beam theory cannot be applied. In this research, the box girder section is divided into different components based on the plate element analysis method. The strain responses were preprocessed based on the principal component analysis (PCA) method to remove the influence of train operation variation. The residual error of the autoregressive (AR) model was used as a potential index of damage features. The optimal order of the model was determined based on the Bayesian information criterion (BIC) criterion. Finally, the confidence boundary (CB) of damage features (DF) constituting outliers can be estimated by the Gaussian inverse cumulative distribution function (ICDF). The numerical simulation results show that the proposed method in this paper can effectively identify, locate and quantify the damage, which verifies the accuracy of the proposed method. The proposed method effectively identifies the early damage of all components on the key section by using four strain sensors, and it is helpful for developing effective maintenance strategies for high-speed railway box girders.

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Study on the Reliability Evaluation Method and Diagnosis of Bridges in Cold Regions Based on the Theory of MCS and Bayesian Networks

Cited by 5 publications

References 13 publications

Research on safety condition assessment methodology for single tower steel box girder suspension bridges over the sea based on improved AHP-fuzzy comprehensive evaluation

Research on safety condition assessment methodology for single tower steel box girder suspension bridges over the sea based on improved AHP-fuzzy comprehensive evaluation

Research on Safety Condition Assessment Methodology for Single Tower Steel Box Girder Suspension Bridges Over The Sea Based on Improved AHP-Fuzzy Comprehensive Evaluation

Damage Detection of High-Speed Railway Box Girder Using Train-Induced Dynamic Responses

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