【作者】 袁金荣； 孙钧；

【Author】 Yuan Jinrong Sun Jun( Shanghai Tunnel Engineering & Rail Transit Design andResearch Institute Shanghai 200070) (Tongji University Shanghai 200092)

【机构】 上海市隧道工程轨道交通设计研究院； 同济大学；

【摘要】 针对深大基坑施工的特点和岩土介质的特殊性,围绕基坑工程的稳定性和环境土工公害这一日益突出的技术难题,利用神经网络、模糊控制等智能方法,研究了深大基坑施工变形的智能预测与控制技术。通过对神经网络和模糊控制以及专家经验的系统集成,建立了一套集基坑施工变形预测与控制于一体的智能化施工控制系统。在MATLAB 5.2平台的支持下,研制开发了便于实际工程使用的基坑施工变形的智能化预测控制软件系统。并通过实例分析,验证了上述研究的可行性和有效性。更多还原

【Abstract】 This paper discusses application of artificial neural networks and fuzzy logical theory to control of diaphragm wall deformation and ground settlements during excavation for large deep foundation . Based on MATLAB 5.2, an intelligent control system for safety of large foundation excavation was developed. The system has been tested on a large soft soil foundation excavation project in Shanghai . The results showed that the control system is very effective as ameans of intelligent controlling deformation of soil and diaphragm wall during foundation excavation.更多还原