长江科学院院报2013，Vol.30Issue(3)：49-55,7.DOI:10.3969/j.issn.1001-5485.2013.03.011
基于MIDAS软件探讨施工工序对深基坑稳定性的影响
Research on Influence of Construction Procedures the Stability of Deep Foundation Pit by Software MIDAS
摘要
Abstract
Forecast of surrounding rock displacement is significant for tunnel engineering. The model of BP neural network-Markov chain was adopted to the displacement forecast for tunnel surrounding rock. Through emulating the training samples, rolling forecast for the displacement time series was performed by BP neural network, and the relative error of measured and predicted values was acquired. Furthermore, the Markov chain was employed to correct the relative error, and the forecast results were improved. The model was applied to the time-series forecast of the vault settlement of a real vehicular tunnel, and the result showed that the model is of high precision and reliability. It provides a new approach for the forecast of tunnel' s surrounding rock displacement.关键词
MIDAS/深基坑/施工工序/仿真模拟Key words
displacement forecast/ BP neural network/ Markov chain/ tunnel surrounding rock分类
建筑与水利引用本文复制引用
李方成,郭利娜,胡斌,蒋海飞,徐海清..基于MIDAS软件探讨施工工序对深基坑稳定性的影响[J].长江科学院院报,2013,30(3):49-55,7.基金项目
国家自然科学基金面上项目(41172281) （41172281）
国家科技部973项目(2011CB710604) （2011CB710604）
中国博士后基金特殊项目(中博基[2009]13) （中博基[2009]13）
中央高校基本科研业务费专项资金项目(摇篮人才计划CUGL100413) （摇篮人才计划CUGL100413）
