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[1]朱彦鹏,马金莲,叶帅华,等.基于强度折减法的边坡岩土体抗剪强度参数反演[J].建筑科学与工程学报,2016,33(03):36-41.
 ZHU Yan-peng,MA Jin-lian,YE Shuai-hua,et al.Inversion of Shear Strength Parameters for Rock and Soil of Slope Based on Strength Reduction Method[J].Journal of Architecture and Civil Engineering,2016,33(03):36-41.
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基于强度折减法的边坡岩土体抗剪强度参数反演(PDF)
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《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:
33卷
期数:
2016年03期
页码:
36-41
栏目:
出版日期:
2016-05-30

文章信息/Info

Title:
Inversion of Shear Strength Parameters for Rock and Soil of Slope Based on Strength Reduction Method
作者:
朱彦鹏马金莲叶帅华马孝瑞
兰州理工大学甘肃土木工程防灾减灾重点实验室
Author(s):
ZHU Yan-peng, MA Jin-lian, YE Shuai-hua, MA Xiao-rui
Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province, Lanzhou University of Technology
关键词:
抗剪强度参数优化反分析强度折减法非线性分析边坡
Keywords:
shear strength parameter optimization back analysis strength reduction method nonlinear analysis slope
分类号:
-
DOI:
-
文献标志码:
A
摘要:
鉴于传统位移优化反分析复杂的数学运算和迭代程序编制,提出了将强度折减法与位移优化反分析法相结合求解边坡岩土体抗剪强度参数。将双参数优化模型转变为单参数优化模型,通过折减系数将位移与抗剪强度参数联系起来,并结合有限元分析、数据拟合、最小二乘法优化,反演边坡岩土体折减系数。通过算例验证了所提方法的可靠性。结果表明:在合理选取初始值的条件下,通过该方法可以求得边坡岩土体抗剪强度参数;该方法不仅避免了复杂的数学计算和迭代程序的编制,还克服了双参数反演时二元线性或非线性回归引起的较大误差。
Abstract:
In view of complex mathematical calculations and iterative programming of traditional displacement back analysis, a method combining strength reduction method and displacement optimization back analysis method was presented to calculate shear strength parameters for rock and soil of slope. Doubleparameters model was converted into singleparameter model, the displacement and strength parameters were linked by reduction factors, and finite element analysis, data fitting, least squares optimization were combined to inverse the reduction factors for rock and soil of slope. The reliability of the method was verified by a numerical example. The results show that under the condition of reasonable selection of the initial value, the shear strength for rock and soil of slope can be obtained through the method, and the method not only avoid complex mathematical calculations and iterative programming, but also overcome error induced by twoelement linear regression or nonlinear regression when twoparametric inversion.

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更新日期/Last Update: 2016-06-01