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| Extreme Value Estimation of Vehicle-induced Load Effect of Bridge Based on Generalized Pareto Distribution |
| CHEN Shuisheng1, ZHAO Hui2, LI Jinhua1, TU Yong3, WANG Yihao1 |
1. East China Jiaotong University,Nanchang,Jiangxi 330013,China;
2. Xinyang Normal Univercity,Xinyang,Henan 464000,China;
3. Jiangxi V&T College of Communications,Nanchang,Jiangxi 330013,China |
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Abstract Research purposes: In order to accurately estimate the extreme value of vehicle-induced load effect of bridge and solve the problem of difficult threshold selection of GPD model, based on the extreme value prediction theory of generalized Pareto distribution, the method of K-S test automatic selection threshold and the method of extreme value estimation of bridge vehicle-induced load effect were proposed in this paper. Then, taking a simply supported T-beam bridge as an engineering application example, the extreme value of vehicle-induced load effect of bridge under random traffic flow load was estimated.
Research conclusions: (1) K-S test automatically selects the threshold, which effectively solves the problem of difficult threshold selection of generalized Pareto distribution. This method has high computational efficiency and effectively avoids the truncation of GPD model. (2) The GPD model has a good fitting effect on the superthreshold samples of vehicle-induced load effect of the bridge, and it is effective and reliable for the extreme value estimation of vehicle-induced load effect. (3) The extreme value of vehicle-induced load effect of bridge increases with the increase of return period. Under the free traffic load, the extreme value of the load effect of the main beam at the carriageway of the multi beam simply supported beam bridge is greater than that of the main beam at other locations, and the first overload failure probability of side beam is the largest. In order to ensure the operation safety of the bridge in the future service period, similar bridges can improve the safety reserve of the main beam in the carriageway during construction, and take appropriate traffic control measures according to local conditions during operation.(4)The proposed method can be used in bridge safety assessment, life prediction and repair and reinforcement, and is convenient to be applied in practical engineering.
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Received: 07 January 2021
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2022, Vol. 39 
