|
|||||
|
|
| 冻粘土三轴流变特性的神经网络预测 | |
| 引用本文： | 张向东,高爽,王志生.冻粘土三轴流变特性的神经网络预测[J].辽宁工程技术大学学报(自然科学版),2003,22(1):64-66. |
| 作者姓名： | 张向东 高爽 王志生 |
| 作者单位： | 1. 辽宁工程技术大学土木建筑工程学院,辽宁,阜新,123000 2. 阜新益民建筑设计室,辽宁,阜新,123000 3. 时代建筑设计院,辽宁,阜新,123000 |
| 摘 要： | 针对冻粘土特殊的物理力学性质，通过详细的冻粘土三轴应力条件下长期蠕变实验，讨论了温度，轴压，围压三种因素对冻粘土蠕变特性的影响，并利用人工神经网络（ANN）方法对冻粘土三轴流变特性进行了预测，建立了BP网络模型，预测结果与实验值吻合，因而具有一定的理论和实用价值。 |
| 关 键 词： | 三轴流变特性 冻粘土 蠕变特性 人工神经网络 BP网络模型 物理力学性质 性能预测 |
| 文章编号： | 1008-0562(2003)01-0064-03 |
| 修稿时间： | 2002年1月23日 |
Neural network prediction of triaxial creep property of frozen clay |
|
| ZHANG Xiang-dong,GAO Shuang,WAN Zhi-sheng.Neural network prediction of triaxial creep property of frozen clay[J].Journal of Liaoning Technical University (Natural Science Edition),2003,22(1):64-66. | |
| Authors: | ZHANG Xiang-dong GAO Shuang WAN Zhi-sheng |
| Institution: | ZHANG Xiang-dong1,GAO Shuang2,WAN Zhi-sheng3 |
| Abstract: | Based on physical and mechanical property of frozen clay, the authors carried out long-term creep test in detail on frozen clay under triaxial stress, the effects are discussed on the creep property of frozen clay under the conditions of different temperature, axial stress and confining stress. A new method for testing creep property by using of artificial neural network is presented and BP network model is established in this paper. Test data and forecasting result is coincided very well, which indicates that the method has certainly theoretical and practical value. |
| Keywords: | frozen clay creep artificial neural network back propagation network model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |