一种改进的空间相关系数在水库高边坡外观变形监测中的应用

胡添翼, 游孟陶, 陆天琳, 王 成, 董安雨

raybet体育在线 院报 ›› 2017, Vol. 34 ›› Issue (7) : 41-47.

PDF(1934 KB)
PDF(1934 KB)
raybet体育在线 院报 ›› 2017, Vol. 34 ›› Issue (7) : 41-47. DOI: 10.11988/ckyyb.20160273
工程安全与灾害防治

一种改进的空间相关系数在水库高边坡外观变形监测中的应用

  • 胡添翼1,2, 游孟陶2, 陆天琳3, 王 成1, 董安雨1
作者信息 +

Application of an Improved Spatial Correlation Coefficient to Exterior Deformation Monitoring of High Slope in Reservoir Area

  • HU Tian-yi1,2, YOU Meng-tao2, LU Tian-lin3, WANG Cheng1, DONG An-yu1
Author information +
文章历史 +

摘要

水库大坝常涉及边坡工程,传统边坡监测主要针对单个测点的变形和应力的变化情况,不太注重多测点边坡整体变形状态的分析。基于Pearson相关系数和Moran相关系数,考虑不同测点的空间坐标,提出一种空间相关系数,用以分析边坡各测点空间上的关联性质;并建立边坡外观变形监测的3个关联性指标:测点关联度Rij、测点影响度Ii、边坡整体度I。通过指标的变化趋势,从关联性角度实现对边坡整体性质的把握。通过对某混凝土坝左岸高边坡外观变形资料的分析,本文提出的空间相关系数符合实际,3个关联性指标具有一定的合理性,对分析边坡安全状态有一定辅助作用。

Abstract

Conventional monitoring of reservoir slope is mainly focused on the deformation and stress changes of single point rather than the overall deformation with multiple points. In view of this, an improved spatial correlation coefficient is proposed to calculate the spatial correlations among multiple points of slope. The present coefficient is based on Pearson’s correlation coefficient and Moran’s correlation coefficient, and takes the spatial coordinates of different measuring points into consideration. Three relevance indexes of exterior deformation of slope are proposed, namely relevance degree Rij of measuring point, influence degree Ii of measuring point, and integrity degree I of slope. The overall state of slope can be obtained according to the variation trends of the indexes. The present coefficient is applied to analyzing the deformation data of the high slope of a concrete dam, and the results prove that the coefficient presented in this paper is practical and rational for analyzing the safety of slopes.

关键词

高边坡 / 外观变形监测 / Pearson相关系数 / Moran相关系数 / 空间相关系数

Key words

high slope / exterior deformation monitoring / Pearson’s correlation coefficient / Moran’s correlation coefficient / spatial correlation coefficient

引用本文

导出引用
胡添翼, 游孟陶, 陆天琳, 王 成, 董安雨. 一种改进的空间相关系数在水库高边坡外观变形监测中的应用[J]. raybet体育在线 院报. 2017, 34(7): 41-47 https://doi.org/10.11988/ckyyb.20160273
HU Tian-yi, YOU Meng-tao, LU Tian-lin, WANG Cheng, DONG An-yu. Application of an Improved Spatial Correlation Coefficient to Exterior Deformation Monitoring of High Slope in Reservoir Area[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(7): 41-47 https://doi.org/10.11988/ckyyb.20160273
中图分类号: TV698.1   

参考文献

[1] 温廷新, 张 波. 露天煤矿边坡稳定性的随机森林预测模型[J]. 科技导报, 2014, 32(4/5): 105-109.
[2] SHARMA R K, MEHTA B S, JAMWAL C S. Cut Slope Stability Evaluation of NH-21 along Nalayan-Gambhrola Section, Bilaspur District, Himachal Pradesh, India[J]. Natural Hazards, 2013, 66(2): 249-270.
[3] 张 豪, 罗亦泳. 基于人工免疫算法的边坡稳定性预测模型[J]. 煤炭学报, 2012, 37(6): 911-917.
[4] 张均锋,丁 烨.边坡稳定性分析的三维极限平衡法及应用[J].岩石力学与工程学报,2005,24(3):365-370.
[5] CHEN Z, WANG X, HABERFIELD C, et al. A Three-dimensional Slope Stability Analysis Method Using the Upper Bound Theorem Part I:Theory and Methods[J]. International Journal of Rock Mechanics & Mining Sciences, 2001, 38(3): 369-378.
[6] 刘寒冰, 李国恒, 谭国金, 等. 基于时间序列的边坡变形实时预测方法[J]. 吉林大学学报(工学版), 2012,42(增1): 193-197.
[7] 王艳霞. 模糊数学在边坡稳定分析中的应用[J]. 岩土力学, 2010, 31(9): 3000-3004.
[8] 向超文,徐锦洪,李 焜,等.人工神经网络边坡稳定预报模型[J].工程地质计算机应用,2006,(1):1-9.
[9] 杜 岩, 谢谟文, 吕夫侠, 等. 基于模态参量变化的边坡动态稳定分析新方法[J].岩土工程学报, 2015, 37(7): 1334-1339.
[10]李南生, 唐 博, 谈风婕, 等. 基于统一强度理论的土石坝边坡稳定分析遗传算法[J].岩土力学, 2013, 34(1): 243-249.
[11]王海军, 涂 凯, 闫晓荣. 基于果蝇优化算法的GRNN模型在边坡稳定预测中的应用[J].水电能源科学, 2015, 33(1): 124-126.
[12]刘大有, 陈慧灵, 齐 红, 等. 时空数据挖掘研究进展[J]. 计算机研究与发展, 2013, 50(2): 225-239.
[13]GAO T. Regional Industrial Growth: Evidence from Chinese Industries[J]. Regional Science and Urban Economics, 2004, 34(1): 101-124.
[14]ANSELIN L. Spatial Econometrics: Methods and Models[M]. Dordrecht: Kluwer Academic, 1988.
[15]ANSELIN L. Space and Applied Econometrics: Introduction[J]. Regional Science and Urban Economics, 1992, 22(3): 307-316.
[16]宋马林, 王舒鸿, 汝慧萍. 一种新的考虑时间和空间的相关系数及其算例[J].数量经济技术经济研究, 2010, (7): 142-152.
[17]COMBES P P. Economic Structure and Local Growth: France, 1984-1993[J]. Journal of Urban Economics, 2000, 47(3): 329-355.
[18]ODLAND J. Spatial Autocorrelation[M]. London: SAGE Publications, 1988.

基金

国家自然科学基金重点项目(41323001);高等学校博士学科点专项基金(20120094110005);江苏省杰出青年项目(BK20140039);水利部土石坝破坏机理与防控技术重点实验室基金项目(KY914002);江苏省2015年度普通高校研究生科研创新计划项目(KYXX15_0140,KYXX15_0138)


PDF(1934 KB)

Accesses

Citation

Detail

段落导航
相关文章

/

Baidu
map