人工神经网络在基坑变形性状研究中的应用  

Application of Artificial Nervous Network in Research of Deformed State of Foundation Pit

作　　者：韩冰[1] 陈晨[1] 曹品鲁[1] 

机构地区：[1]吉林大学建设工程学院,吉林长春130026

出　　处：《城市道桥与防洪》2005年第2期108-110,共3页Urban Roads Bridges & Flood Control

摘　　要：基坑工程不仅要保证维护结构本身的安全,而且要保证周围建(构)筑物的安全和正常使用。开展基坑工程变形性状研究具有重要意义。影响基坑变形的因素很复杂,传统的计算方法已无法准确预测基坑的变形。人工神经网络(ANN)有很强的解决非线性问题的能力。近些年来基于ANN的方法在岩土工程中得到了广泛的应用。本文对ANN在基坑工程中的应用研究进行了综述,并对其发展方向进行了分析。Foundation pit engineering ensures that not only to maintain the safety of the structure, but also the safety and the normal use of the peripheral buildings. To study on the deformed state of foundation pit engineering has an important significance. The factor to influence on the deformation of foundation pit is very complex. The traditional calculation method has not yet correctly forecast the deformation of foundation pit. Artificial nervous network (ANN) has the capacity for solving non-linear problem. Over recent years ANN method has been widely applied in rock engineering. The paper summaries the application and research of ANN in foundation pit engineering and analyzes the developing direction.

关 键 词：基坑工程 人工神经网络 应用研究 发展方向 

分 类 号：TU470[建筑科学—结构工程]