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作 者:赫金良 李晓宁 李青龙 赵思远 董洋君 HE Jin-liang;LI Xiao-ning;LI Qing-long;ZHAO Si-yuan;DONG Yang-jun(Civil Engineering and Architecture College,Southwest University of Science and Technology,Mianyang 621000,China;Emergency Management College,Xihua University,Chengdu 610000,China;China MCC5 Group Co.,Ltd.,Chengdu 610000,China;Water Resource and Hydropower College,Sichuan University,Chengdu 610000,China;Guangyuan Freeway Co.,Ltd.,Guangyuan 628000,China)
机构地区:[1]西南科技大学土木工程与建筑学院,绵阳621000 [2]西华大学应急管理学院,成都610000 [3]中国五冶集团有限公司,成都610000 [4]四川大学水利水电学院,成都610000 [5]四川广绵高速公路有限责任公司,广元628000
出 处:《科学技术与工程》2024年第22期9577-9586,共10页Science Technology and Engineering
基 金:国家自然科学基金(42077271,U22A20601);四川省科技计划(2023ZYD0155)。
摘 要:为准确掌握寒区粗粒土路基冻胀变形特性,基于室内模型试验研究了初始含水率、冻结温度、细粒含量以及冻融循环次数对粗粒土路基冻胀位移和冻结速率的影响;提出了基于PSO-SVR优化的SVM支持向量机预测模型对粗粒土路基进行冻胀位移值预测。通过对单因素样本输入数据进行扰动,以输出变量值的波动情况作为各因素对路基冻胀敏感性大小的判断依据。结果表明:影响粗粒土路基冻胀位移各因素的敏感性依次为初始含水量>细粒含量>冻结温度>冻融循环次数;粗粒土路基的最大冻胀位移与这4个因素呈一次线性函数关系,快速冻结期冻胀速率与4种因素呈正比关系。In order to accurately understand the freezing and deformation characteristics of coarse-grained soil subgrade in cold regions based on indoor model tests,the effects of initial water content,freezing temperature,fine grains content,and number of freezing and thawing cycles on the freezing displacement and freezing rate were examined.Then,the SVM prediction model optimized by PSOSVR was proposed to predict the freezing displacement value of coarse-grained soil subgrade.The sensitivity of each factor for the freezing expansion of the subgrade was determined by observing the variations of the output variable values through perturbing the input data of single-factor samples.The results indicate that the sensitivity of the studied factors influencing the freezing and expansion displacement of coarse-grained soil subgrade shows the following decreasing order:initial water content>freezing temperature>fine grains content,freezing and thawing cycles.The maximum freezing and expansion displacement of coarse-grained soil subgrade has a linear relationship with these four factors,where the freezing and expansion rate in rapid freezing period exhibit a positive proportional relationship with these four factors.
关 键 词:季节性冻土区 模型实验 多因素分析 支持向量机 敏感性评价
分 类 号:U419.92[交通运输工程—道路与铁道工程]
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