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基于纵向数据与突变理论的边坡滑坡预测新方法及其应用
引用本文:王树仁,张艳博.基于纵向数据与突变理论的边坡滑坡预测新方法及其应用[J].煤炭学报,2009,34(5):640-644.
作者姓名:王树仁  张艳博
作者单位:燕山大学 建筑工程与力学学院,河北 秦皇岛,066004
基金项目:河北省自然科学基金,扬州大学博士基金 
摘    要:基于边坡位移监测数据满足纵向数据部分线性模型的假定,采用广义最小二乘法求得回归系数和回归函数,应用B样条法对坡表水平位移和观测时间进行回归分析,得到纵向数据部分线性模型函数.然后将该函数依泰勒级数展开并截取部分函数项,通过变量代换转换成尖点突变模型形式,由突变判据进行边坡滑移危险性识别及边坡滑坡预测.该新方法的提出丰富了滑坡预报理论,并得到了现场实测数据的验证.

关 键 词:纵向数据  突变理论  边坡工程  
收稿时间:2008-12-25

New method for landslide forecast and its application based on longitudinal data and catastrophic theory
WANG Shu-ren,ZHANG Yan-bo.New method for landslide forecast and its application based on longitudinal data and catastrophic theory[J].Journal of China Coal Society,2009,34(5):640-644.
Authors:WANG Shu-ren  ZHANG Yan-bo
Affiliation:1.School of Civil Engineering and Mechanics;Yanshan University;Qinhuangdao 066004;China;2.College of Resources and Environment;Hebei Polytechnic University;Tangshan 063009;China
Abstract:Under the assumptions that the monitoring data of slope displacement will satisfy for the partial linear model with longitudinal data,the regression function and regression parameter were obtained by applying the generalized least square method,and the partial linear model was derived after the regression analysis for the slope horizontal displacement and monitoring time by using B-spline method.The front several terms of the Taylor's series were intercepted after the function of the partial linear model wa...
Keywords:longitudinal data  catastrophic theory  slope engineering  
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