| 基坑开挖对地下管线影响的有限元分析及神经网络预测 |
| |
| 引用本文： | 张孟喜,黄瑾,王玉玲. 基坑开挖对地下管线影响的有限元分析及神经网络预测[J]. 岩土工程学报, 2006, 28(Z1): 1350-1354 |
| |
| 作者姓名： | 张孟喜 黄瑾 王玉玲 |
| |
| 作者单位： | 上海大学土木工程系,上海,200072 |
| |
| 基金项目： | 上海市自然科学基金资助项目(03ER14036) |
| |
| 摘 要： | 运用ANSYS软件对深基坑开挖的全过程进行了数值模拟。分析了不同的土体参数、不同的支撑顺序以及不同的开挖深度等几种情况对邻近管线的变形发展变化规律的影响。运用改进的BP神经网络方法进行实时建模预报,并针对上海某深基坑工程管线沉降进行预报,与实测值对比分析反映地下管线变形的动态特性。
|
| 关 键 词： | 基坑开挖 地下管线 有限元 变形 神经网络 预测 |
| 文章编号： | 1000-4548(2006)S0-1350-05 |
| 修稿时间： | 2006-07-17 |
Finite element analysis and neural-network prediction of deformation of underground pipelines affected by excavation |
| |
| ZHANG Meng-xi,HUANG Jin,WANG Yu-ling. Finite element analysis and neural-network prediction of deformation of underground pipelines affected by excavation[J]. Chinese Journal of Geotechnical Engineering, 2006, 28(Z1): 1350-1354 |
| |
| Authors: | ZHANG Meng-xi HUANG Jin WANG Yu-ling |
| |
| Abstract: | The construction process of the foundation excavation was analyzed with the aid of ANSYS.Numerical simulation was performed to discuss the law of displacements of adjacent underground pipelines under different conditions,including different parameters of soils,different turns of bracing structures,and different depths of excavations.Meanwhile,an improved BP neural network was established to make real-time modeling prediction.According to a deep foundation case in Shanghai,the results of comparison show the dynamic characteristics for the deformation of underground pipelines. |
| |
| Keywords: | excavation of pit foundation underground pipelines finite element deformation neural network prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
