DataVXAIP AdvancesPaper
journal article·2023-05-01Open access

Research on the damage diagnosis model verification method of cable-stayed bridges

Jie Liu, Jiameng Chen, Qingkuan Liu, Hailong Wang, Jianqing Bu

AIP Advances· Volume 13· Issue 5
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Source abstract

Abstract

To solve the problem that the damage diagnosis model of cable-stayed bridges cannot quantitatively evaluate its validity, the verification method of the diagnosis model is investigated. A model validation method [Root-Mean-Square Error (RMSE)-Statistical Hypothesis Test (SHT), R–S] that combines the RMSE evaluation index and the SHT is proposed and applied to the reliability evaluation of the cable-stayed bridge data mining damage diagnosis model. First, the R–S method evaluates the diagnostic effect of the model via the evaluation index. Second, the SHT method is used to quantitatively compare the consistency between the output data of the diagnostic model and the actual structure output data. Finally, the validity of the model is quantitatively evaluated. The application process of the proposed method is demonstrated by an example. The results show that the diagnostic model has strong reliability and that the confidence level Pδ exceeds 90%, which indicates the effectiveness of the diagnostic model verification method.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Structural Health Monitoring Techniques · Infrastructure Maintenance and Monitoring · Structural Engineering and Vibration Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University 1 , Shijiazhuang 050043, China

Hebei Key Laboratory of Diagnosis, Reconstruction and Anti-disaster of Civil Engineering 2 , Zhangjiakou 075000, China

Innovation Center for Wind Engineering and Wind Energy Technology of Hebei Province 3 , Shijiazhuang 050043, China

School of Civil Engineering, Shijiazhuang Tiedao University 4 , Shijiazhuang 050043, China

Hebei Innovation Center of Transportation Infrastructure in Cold Region 5 , Zhangjiakou 075000, China

School of Traffic and Transportation, Shijiazhuang Tiedao University 6 , Shijiazhuang 050043, China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Hebei Province · High End Talent Project of Hebei Province · Key R&D Program of Hebei Province

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