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SVM prediction method for displacement of high-speed railway piers caused by deep foundation pit excavation |
Xuming SONG1( ),Xiaolong LI1,Mian TANG1,Tianliang WANG2,Lijuan CHENG3 |
1. School of Civil Engineering, Central South University, Changsha 410075, China 2. Henan Communications Planning and Design Institute Co. Ltd, Zhengzhou 451450, China 3. Hunan Province Communication Planning, Survey and Design Institute Co. Ltd, Changsha 410200, China |
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Abstract A three-dimensional finite element model considering the influence of groundwater on soil and bridges was established based on a deep foundation pit excavation project, in order to study the impact of additional displacements of high-speed railway bridge piers caused by adjacent foundation pit excavation on railway operation safety. The single factor sensitivity of additional displacements of high-speed railway bridge piers was analyzed. The Box-Behnken Design (BBD) experimental design method combined with the support vector machine algorithm (SVM) was used to establish a displacement prediction model for the top of high-speed railway bridge piers. By combining the Monte Carlo method, 107 sampling calculations were performed on the parameters to obtain the reliable probability of additional displacements at the pier top. The research results showed that the change in the distance between the foundation pit and the high-speed railway bridge pier had the greatest impact on the horizontal and vertical displacements at the pier top. Among the eight different combinations of hyperparameters of the SVM model, the maximum error between the prediction values of the optimal model and the finite element calculation values was within 6%, indicating that the optimal model could replace the finite element for calculation. Under the limit of 2 mm lateral displacement at the pier top, the reliability probability of lateral additional displacement at pier top was 33.12% when the distance between the background engineering foundation pit and the bridge pier was 35 m; when the distance increased to 39 m, the reliability probability of lateral additional displacement at pier top reached 99.68%. The analysis method used can avoid uncertain evaluation results caused by large discretization of soil layer mechanical parameters, providing reference for safety evaluation of similar projects.
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Received: 15 April 2024
Published: 30 May 2025
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Fund: 国家自然科学基金资助项目(52078486). |
深基坑开挖致高铁桥墩位移的SVM预测方法
为了研究邻近基坑开挖引起的高铁桥梁墩顶附加位移对铁路运营安全的影响,依托某深基坑开挖工程,建立考虑地下水影响的土体-桥梁三维有限元模型. 分析高铁桥墩附加位移的单因素敏感性. 采用Box-Behnken design(BBD)试验设计方法结合支持向量机算法(SVM)建立高铁桥墩墩顶位移预测模型,结合蒙特卡洛法,对参数进行107次抽样计算,得到墩顶附加位移的可靠概率. 研究结果表明:基坑与高铁桥墩距离的变化对墩顶横向位移和竖向位移的影响最大. 在8组不同超参数组合的SVM模型中,最优模型的预测值与有限元计算值的最大误差小于6%,最优模型可代替有限元进行计算. 在墩顶横向位移为2 mm的限值下,背景工程基坑与桥墩距离为35 m时,墩顶横向附加位移的可靠概率为33.12%;当基坑与桥墩距离增加到39 m时,墩顶横向附加位移的可靠概率为99.68%. 所采用的分析方法可以削减因土层力学参数离散性大而产生的评估结果不确定性,为类似工程的安全评估提供参考.
关键词:
高速铁路,
深基坑,
墩顶附加位移,
支持向量机(SVM),
可靠度
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