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基于BP神经网络的基坑喷锚网支护变形分析
引用本文:李元雄,李云安,冯晓腊.基于BP神经网络的基坑喷锚网支护变形分析[J].路基工程,2010,0(3):60-61.
作者姓名:李元雄  李云安  冯晓腊
作者单位:中国地质大学武汉工程学院,武汉430074
基金项目:武汉市建委科技发展基金 
摘    要:喷锚网作为一种新型的基坑支护技术在基坑施工中已大量采用,但基坑塌滑等安全事故也时有发生。文中运用快速拉格朗日法对其进行了分析研究。基于BP神经网络,通过实际工程对喷锚支护技术进行了数值计算,得到了设计喷锚支护方案下基坑变形的分布规律,并与现场监测进行了比较,结果一致。通过数值分析表明,喷描网技术在严格控制基坑变形、保护环境方面具有明显的优越性,值得推广。

关 键 词:喷锚网    基坑    神经网络    数值分析
收稿时间:2019-11-12

Analysis on Deformation of Foundation Pit with Shotcrete Rockbolt Mesh Support based on BP Neural Network
Authors:LI Yuan-xiong  LI Yun-an  FENG Xiao-la
Institution:(School of Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China)
Abstract:Shotcrete rockbolt mesh as a new type technology for foundation pit supporting has been vastly appliedin foundation pit construction,but foundation pit collapse and other safety accidents have also occurred frequently.This paper studies it with Lagrange method.Based on BP neural network,it carries out numerical calculation for shotcrete bolting technology through practical engineering,and gets the distribution rule of foundation pit deformation under designed shotcrete bolting program,which is in conformance with site measurement through comparison.It is indicated through numerical analysis that shotcrete rockbolt mesh technology has obvious advantages in strict control of foundation pit deformation and environmental protection,and it is deserved to be popularized in application.
Keywords:shotcrete rockbolt mesh  foundation pit  neural network  numerical analysis
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