摘要
以武汉地铁某深基坑工程为研究背景,综合现场监测、BP神经网络预测以及数值模拟计算等多种方法,研究在复杂路段下地铁车站深基坑围护结构的变形规律与深基坑开挖对上跨高架桥墩的影响作用。研究提出:在以后的类似工程中可以利用数值模拟方法对工程施工进行动态预演,检验基坑的设计方案的安全性和经济性,并在基坑施工过程中可以通过BP神经网络进行动态预测,掌握基坑施工在下一个阶段的变形趋势,从而可建立"模拟—预测"信息化施工监测方案,以达到基坑安全与经济施工的目的。
A deep excavation project of Wuhan Metro is taken as the research background, and several methods such as site monitoring, BP neural network prediction and numerical simulation are combined to investigate the deformation rules of the support structure of metro station in a complex road section and the effect of deep foundation pit excavation on overpass viaduct piers. In this study, the numerical simulation method is proposed to be used for dynamic rehearsal of engineering construction in similar future projects so as to verify the safety and economical efficiency of design schemes of excavations; meanwhile, dynamic prediction can be realized via BP neural network during construction to know the deformation trend at the next stage of such construction so as to establish informationization construction monitoring schemes combining“simulation and prediction” and to achieve safe and economical construction.
出处
《岩土工程学报》
EI
CAS
CSCD
北大核心
2014年第S2期368-373,共6页
Chinese Journal of Geotechnical Engineering
基金
国家自然科学基金面上项目(41172281)
中央高校基本科研业务费专项资金项目(摇篮人才计划CUGL100413
特色学科团队CUG090104)
国家科技部973项目(2011CB710604)
关键词
地铁
深基坑
高架桥
BP神经网络
数值模拟
metro
deep excavation
viaduct
BP neural network
numerical simulation