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西安f7地裂缝发展变化的预测研究
引用本文:党发宁,高闯洲,党维维,王军星.西安f7地裂缝发展变化的预测研究[J].自然灾害学报,2012(3):170-176.
作者姓名:党发宁  高闯洲  党维维  王军星
作者单位:西安理工大学;上海市岩土地质研究院有限公司;上海同是工程科技有限公司;中核新能核工业工程有限责任公司
基金项目:国家自然科学基金项目(50879069,50679073,90510017);水利部公益性行业科研专项资助项目(2007SHZ1—20071004)
摘    要:论文首先分析和总结了影响西安地裂缝发展变化的主要人为因素。随后,利用三维非稳定渗流分析方法研究了人类活动对地下水位的影响;根据西安市新增固定资产投资的变化,预测了地面荷载的变化;以时间、地下水位和地面荷载为基本变量,建立了预测f 7地裂缝活动趋势的BP神经网络模型;最后,借助MATLAB语言进行编程,利用训练稳定的网络模型,预测了f 7地裂缝的活动趋势以及年平均的垂直位移沉降量,为进一步研究西安地铁2号线安全运行和防护提供参考依据。

关 键 词:西安  地裂缝  累积垂直位移  预测研究  BP神经网络

Predictive research on development and change of ground fissures f7 in Xi’an
DANG Faning,GAO Chuangzhou,DANG Weiwei,WANG Junxing.Predictive research on development and change of ground fissures f7 in Xi’an[J].Journal of Natural Disasters,2012(3):170-176.
Authors:DANG Faning  GAO Chuangzhou  DANG Weiwei  WANG Junxing
Institution:1.Xi’an University of Technology,Xi’an 710048,China;2.Shanghai Geotechnical Engnieering & Geology Institute Co.Ltd,Shanghai 200072,China;3.Shanghai Telsafe Engineering Technology Co.Ltd,Shanghai 200092,China; 4.Xinneng Nuclear Engineering Co.,Ltd.of CNNC,Taiyuan 030012,China)
Abstract:This paper analyzed and summarized in detail the main human factors that influence Xi’an ground fissures.First human influence on groundwater level using the analytic method of 3-D unstable seepage was studied,and the ground load change was predicted based on the change of newly added investment on fixed assets of Xi’an;Then taking time,underground water level and ground load as basic variables,a BP neural network model was built to predict the development tendency of f7 ground fissures,and finally,using the training stable model,the active development tendency and the annual average vertical displacement of f7 ground fissures were predicted to present a reference to safe operation of No.2 subway line of Xi’an.
Keywords:Xi’an  ground fissure  accumulated vertical displacement  predictive research  BP neural network
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