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山东大学学报(工学版) ›› 2009, Vol. 39 ›› Issue (6): 111-115.

• 土木工程 • 上一篇    下一篇

三维初始地应力场反演以及SPSS软件的应用

郑春梅,朱维申,张强勇   

  1. 山东大学土建与水利学院岩土与结构工程研究中心, 山东 济南 250061
  • 收稿日期:2009-01-15 出版日期:2009-12-16 发布日期:2009-12-16
  • 作者简介:郑春梅(1979-),女,山东济宁人,博士研究生,研究方向为岩土工程数值模拟.E-mail:zhchm2007@gmail.com
  • 基金资助:

    国家自然科学基金资助项目(90510019, 50579033); 国家重点基础研究发展规划(973规划)资助项目(2002CB412705)

Back analysis of 3D initial geostress and the application of SPSS

  1. Geotechnical and Structural Engineering Research Center, School of Civil Engineering, Shandong University, Jinan 250061, China
  • Received:2009-01-15 Online:2009-12-16 Published:2009-12-16

摘要:

结合某水电站地下厂房区工程地质条件以及实测地应力资料,分析研究了区域初始地应力的影响因素.在各影响因素单独作用下,采用FLAC3D计算程序对建立的三维地质概化模型进行计算,在应力实测值和应力回归值之间建立多元回归模型,通过多元回归分析,求出最优回归系数,从而获得初始地应力场分布规律.为了说明计算范围对初始地应力场的影响,对工程区域分别取大小模型进行计算.数值计算结果表明,对于处于高山地区的工程,地应力回归时要选择大模型.并且使用SPSS(statistical package for the social science)软件对应力进行统计分析,可得到工程区域内的初始应力函数.

关键词: 水利工程;初始地应力;FLAC3D;回归分析;SPSS软件

Abstract:

Based on the measured data of geostress and engineeringgeological conditions at a hydropower station, possible factors affecting the initial geostress field were discussed. Under individual effect of factors, the established 3D simplified geological model was calculated by FLAC3D. Then, a multivariate regression model was established between the measured and calculated results of geostress at measurement points. Through multiple regression analysis, the optimumregression coefficient could be derived. Thereby, the distribution tendency of the initial geostress field can be obtained. In order to show the influence of area coverage on initial geostress, a large and small model in the engineering region were  separately calculated. The numerical calculation results indicate that it is necessary to select a large model for the geostress regression of engineering in the alp region. The function of initial stress in the engineering region can be obtained from the statistical analysis of stress by using SPSS.

Key words: hydraulic engineering; initial geostress; FLAC3D; regression analysis; SPSS

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