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- Title
Digital modeling of vehicle load-bridge load effect and system state monitoring.
- Authors
Zhao Hanwei; Ding Youliang; Li Aiqun; Ren Zhaozhao
- Abstract
Characteristic parameters for the structural vehicle-induced strain and the bridge's vehicle load were intelligently extracted and analyzed. The Gaussian mixture model was used to establish the probability density model for the amplitude of vehicle-induced strain and the vehicle-load parameters with the gross mass of more than 5 t, and their heavy-vehicle clusters in statistics were determined. Based on the feature values of the probability of the heavy-vehicle clusters of the vehicle maximum axle load and the vehicle-induced strain amplitude, the digital model of the relation mapping between the vehicle load and the vehicle-induced strain was established, and its correlation was enhanced according to the naive Bayes theory. An early waning method for the overloading of heavy-vehicle and the cracking of structure was proposed, which can reflect on the physical state of the vehicle-bridge system. The results demonstrate that for the section of Shenhai Highway in the territory of Jiangsu, the data of the maximum axle load with a gross mass of more than 5 t ae more suitable for mining the potential correlation with the amplitude of structural vehicle-induced strain. The relationship mapping of thei heavy-vehicle clusters' mean as well as 95% guaranteed rate quantile of cumulative distribution function of heavy-vehicle cluster of the vehicle-induced strain can be respectively used to perceive the bridge's overloading and cracking risks on the heavy vehicles' effects.
- Publication
Journal of Southeast University / Dongnan Daxue Xuebao, 2022, Vol 52, Issue 2, p203
- ISSN
1001-0505
- Publication type
Article
- DOI
10.3969/j.issn.1001-0505.202.02.001