- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | XIANG Huoyue, CHEN Xuli, LI Yongle. Reliability Analysis of Coupled Train-Bridge Systems Based on ARMAX Surrogate Model[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1217-1223, 1232. doi: 10.3969/j.issn.0258-2724.20200118
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In order to improve the efficiency of the coupled train-bridge system reliability analysis, a train-bridge coupling vibration model is established, and the track irregularity is simulated by auto-regressive (AR) method. After basic principles of the (auto-regressive moving average exogenous (ARMAX) model are reviewed, the reliability analysis framework of the train-bridge coupling system based on the ARMAX surrogate model is proposed. The acceleration responses predicted by the surrogate model are then compared with those by the direct Monte Carlo method to examine the calculation accuracy and reliability analysis efficiency of the surrogate model in analyzing driving safety. The results show that the efficiency of the surrogate model in predicting the vertical and lateral acceleration responses of trains is significantly higher than that of the MCS method, by about 3 orders of magnitude; besides, acceptable solution accuracy of 98.66% and 86.55% can be achieved for vertical and horizontal car body acceleration prediction, respectively. Therefore, the surrogate model can significantly improve the reliability analysis efficiency of coupled train-bridge systems.
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