Predictive Lime Soil Maximum Strength by Measuring Soil Ingredients Based on Neural Network

摘要：

Because there are the complex non-linear relations between the soil ingredient and strength, no mathematics model has been established at present. The experiments of 12 reigns of soil ingredients and the lime soil compressive strength under 180-day saturated water in the optimum lime dosage and the stipulated moisture were carried on. Based on the artificial neural networks technology, the soil ingredient - lime stabilization strength model has been established. The model was used to carry on the strength estimate to the examination samples. The results indicates the average relative error that the model forecasts is 3.97％ and the maximum relative error is smaller than 10％, which may satisfy the actual project requirement.

关键词： maximum strength lime soil ingredients neural network

作者: ZOU Junping LI Chuangmin HE Ping XU Chunsheng

作者单位: Department of Highway Engineering, Changsha University of Science and Technology, Changsha, 410076;H Department of Highway Engineering, Changsha University of Science and Technology, Changsha, 410076 Highway Bureau of Yichun in Jiangxi Province,Yichun, 336000

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）