CAJ | 학술논문

由于地基实际工后沉降与初始设计沉降往往存在很大差异，因此，需要通过分析现场实测沉降资料预测后期沉降。为了进一步提高公路软基沉降预测的准确性，将 LIB - SVM 模型应用于地基沉降， LIB - SVM 通过交叉验证选取的最优参数组合克服了传统 SVM 模型参数选择的盲目性。根据实例，将LIB - SVM 模型预测值和指数模型预测值与现场量测值进行了对照。结果表明，LIB - SVM 模型比指数模型有较高的预测精度，该方法在沉降的实际预测中具有可行性。
유우지기실제공후침강여초시설계침강왕왕존재흔대차이，인차，수요통과분석현장실측침강자료예측후기침강。위료진일보제고공로연기침강예측적준학성，장 LIB - SVM 모형응용우지기침강， LIB - SVM 통과교차험증선취적최우삼수조합극복료전통 SVM 모형삼수선택적맹목성。근거실례，장LIB - SVM 모형예측치화지수모형예측치여현장량측치진행료대조。결과표명，LIB - SVM 모형비지수모형유교고적예측정도，해방법재침강적실제예측중구유가행성。
Due to the great difference between the actual post-construction settlement and initial design settlement ,the analysis of the measured settlement data is needed to predict the late settlement .In order to improve the accuracy of high-way’s soft foundation settlement prediction ,the LIB -SVM model is used to forecast the foundation settlement ,and through using the cross validation to select the optimal parameters combination ,the LIB -SVM model could overcome the blindness of SVM model in parameter selection .Aimed at instances ,the LIB - SVM model’s prediction value and exponential model’s prediction value are compared with the field measuring values .The results show that the LIB - SVM model has higher prediction accuracy than exponential model ,so the method is feasible in the practical prediction of settlement .