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。
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.
出处
《岩土工程学报》
EI
CAS
CSCD
北大核心
2006年第B11期1350-1354,共5页
Chinese Journal of Geotechnical Engineering
基金
上海市自然科学基金资助项目(03ER14036)
关键词
基坑开挖
地下管线
有限元
变形
神经网络
预测
excavation of pit foundation
underground pipelines
finite element
deformation
neural network
prediction
