路基工程Issue(2)：24-29,6.DOI:10.13379/j.issn.1003-8825.202312060
基于Python的有砟客运专线铁路路基沉降预测方法
Method to Predict the Subgrade Settlement of Ballasted Passenger Dedicated Line Based on Python
摘要
Abstract
For the settlement prediction in a section of the Passenger Dedicated Line Railway during the construction,the fitting formula and combined model of the cumulative settlement of the subgrade were proposed,and the Python programming calculation was introduced.The fitting formula of the subgrade settlement was equal to the final settlement predicted by the three-point method and the exponential curve method in the relevant specifications,and the accuracy was the same,which verifies the reliability of the formula.After combining the Bayesian optimized multi-layer perceptron model with Asaoka method,three-point method and this method,the result shows that,the prediction accuracy of subgrade cumulative settlement is improved,the root mean square error of measuring point 1 is reduced by 33％,and the average absolute error is reduced by 40％.The root mean square error of measuring point 2 is reduced by 17％and the average absolute error is reduced by 27％.关键词
有砟客运专线/路基/沉降预测/沉降评估/PythonKey words
ballasted passenger dedicated line/subgrade/settlement prediction/settlement assessment/Python分类
交通运输引用本文复制引用
李子奇,郭玉森,王广..基于Python的有砟客运专线铁路路基沉降预测方法[J].路基工程,2025,(2):24-29,6.基金项目
甘肃省高校青年博士支持项目(2023QB-045) （2023QB-045）
兰州交通大学甘肃省重点实验室开放课题(2022055) （2022055）
