基于改进理想点模型的岩体结构面分级方法

doi:10.12068/j.issn.1005-3026.2021.01.018

东北大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (1): 117-123.DOI: 10.12068/j.issn.1005-3026.2021.01.018

基于改进理想点模型的岩体结构面分级方法

王述红，朱宝强，张泽

(东北大学资源与土木工程学院，辽宁沈阳110819)

出版日期:2021-01-15 发布日期:2021-01-13
通讯作者: 王述红
作者简介:王述红(1969-)，男，江苏泰州人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(U1602232)；中央高校基本科研业务费专项资金资助项目(N170108029)；辽宁省重点研发计划项目(2019JH2/10100035).

Rock Mass Structural Plane Classification Method Based on Improved Ideal Point Model

WANG Shu-hong， ZHU Bao-qiang， ZHANG Ze

School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China.

Online:2021-01-15 Published:2021-01-13
Contact: ZHU Bao-qiang
About author:-
Supported by:
-

摘要/Abstract

摘要： 鉴于以往的结构面分级方法多为宏观定性分析，不利于指导实际工程设计和施工，提出了一种基于改进理想点模型的结构面定量分级方法.首先考虑结构面分级的多种影响因素，采用7个指标进行定量表征，建立了结构面多指标分级体系；然后用最小熵原理优化层次分析法及熵权法权重，从而改进理想点模型，得到最优组合权重；最后将改进后的模型应用于重庆市兴隆隧道实测结构面分级中，并与工程实际对比.结果表明:改进理想点模型所得分级结果与实际工程较为一致，准确率达93.3%，具有较强的可靠性及工程实用性，可为岩体结构面分级提供一种新的思路和方法.

关键词: 结构面分级；理想点模型；层次分析法；熵权法；组合权重

Abstract: In view of the fact that the previous structural plane classification methods are mostly macro-qualitative analysis， which is not conducive to guiding actual engineering design and construction. A quantitative structural plane classification method based on the improved ideal point model was proposed. Firstly， considering various factors of structural plane classification， seven indicators were used for quantitative characterization， and a multi-index structural plane quantitative classification system was established. Then， based on the principle of minimum entropy， the weights obtained by analytic hierarchy process and entropy weight method were optimized， and the ideal point model was improved to obtain the optimal combination weight. Finally， the improved model was applied to the structural plane classification of Xinglong tunnel in Chongqing and compared with the actual engineering. The results show that the classification results obtained by improved ideal point model are consistent with the actual project， with an accuracy of 93.3%， which has strong reliability and engineering practicability. It can provide a new idea and method for rock mass structural plane classification.

Key words: structural plane classification; ideal point model; analytic hierarchy process(AHP); entropy weight method; combination weight

中图分类号:

TU452

王述红，朱宝强，张泽. 基于改进理想点模型的岩体结构面分级方法[J]. 东北大学学报（自然科学版）, 2021, 42(1): 117-123.

WANG Shu-hong， ZHU Bao-qiang， ZHANG Ze. Rock Mass Structural Plane Classification Method Based on Improved Ideal Point Model[J]. Journal of Northeastern University(Natural Science), 2021, 42(1): 117-123.

参考文献

[1]Wang S H，Huang R Q，Ni P P，et al.Advanced discretization of rock slope using block theory within the framework of discontinuous deformation analysis［J］.Geomechanics & Engineering，2017，12(4):723-738.
[2]Wang S H，Ni P P，Guo M D.Spatial characterization of joint planes and stability analysis of tunnel blocks［J］.Tunnelling and Underground Space Technology，2013，38:357-367.
[3]王述红，朱宝强，王鹏宇.模拟退火聚类算法在结构面产状分组中的应用［J］.东北大学学报(自然科学版)，2020，41(9):1328-1333.(Wang Shu-hong，Zhu Bao-qiang，Wang Peng-yu.Application of simulated annealing clustering algorithm in grouping of discontinuity orientation［J］.Journal of Northeastern University(Natural Science)，2020，41(9):1328-1333.)
[4]雷光伟，杨春和，王贵宾，等. 基于结构面综合指标的岩体质量评价及应用［J］.岩土力学，2017，38(8):2343-2350.(Lei Guang-wei，Yang Chun-he，Wang Gui-bin，et al.Rock mass quality evaluation and application based on comprehensive index of structural plane［J］.Rock and Soil Mechanics，2017，38(8):2343-2350.)
[5]Ootsuka Y，Ishikawa T，Tajima K，et al.Rock mass property evaluation based on the borehole wall images taken by using an ultrasonic scanner (USS)［J］.Journal of Nepal Geological Society，2018，55(1):1-6.
[6]陈曦，曾亚武，刘伟，等.岩体基本质量分级模糊综合评价法研究［J］.武汉大学学报(工学版)，2019，52(6):511-522.(Chen Xi，Zeng Ya-wu，Liu Wei，et al.Research on classification of rock mass basic quality based on fuzzy comprehensive evaluation method［J］.Engineering Journal of Wuhan University，2019，52(6):511-522.)
[7]Shao L S，Xu B.Classification of rocks surrounding a tunnel based on factor analysis and fisher discriminant analysis［J］.Journal of Highway and Transportation Research and Development (English Edition)，2015，9(4):50-57.
[8]Hou F J，Xie X K，Shi S S，et al.Dynamic optimization classification model for submarine tunnel surrounding rocks and its application in engineering［J］.Journal of Coastal Research，2019，94(sup1):311-315.
[9]曹文贵，李树林，张永杰.基于隧道铣挖施工适应性的围岩质量分级方法［J］.岩石力学与工程学报，2019，38(8):1513-1522.(Cao Wen-gui，Li Shu-lin，Zhang Yong-jie.A classification method of surrounding rock mass quality based on tunnel milling excavation construction adaptability［J］.Chinese Journal of Rock Mechanics and Engineering，2019，38(8):1513-1522.)
[10]谷德振.岩体工程地质力学基础［M］.北京: 科学出版社，1979: 204-207.(Gu De-zhen.Foundation of rock engineering geomechanics［M］.Beijing: Science Press，1979: 204-207.)
[11]张倬元，王兰生，王士天.工程地质分析原理［M］.北京: 地质出版社，1994: 9-10.(Zhang Zhuo-yuan，Wang Lan-sheng，Wang Shi-tian.Principles of engineering geological analysis［M］.Beijing: Geological Publishing House，1994: 9-10.)
[12]向波，周立荣，马建林.基于岩体结构面分级的抗剪强度确定法［J］.岩石力学与工程学报，2008，27(sup2):3547-3552.(Xiang Bo，Zhou Li-rong，Ma Jian-lin.Determination method of shear strength based on classification of rock structural plane［J］.Chinese Journal of Rock Mechanics and Engineering，2008，27(sup2):3547-3552.)
[13]Sun S Q，Huang R Q，Pei X J，et al.Engineering geological classification of the structural planes for hydroelectric projects in Emeishan Basalts［J］.Journal of Mountain Science，2016，13(2):330-341.
[14]Hwang C L，Yoon K.Methods for multiple attribute decision making［M］.Berlin: Springer，1981: 58-62.
[15]Su M X，Wang P，Xue Y G，et al.Prediction of risk in submarine tunnel construction by multi-factor analysis: a collapse prediction model［J］.Marine Georesources & Geotechnology，2019，37(6):1-11.
[16]Peng Y X，Wu L，Zuo Q J，et al.Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model［J］.Geomatics Natural Hazards & Risk，2020，11(1):301-317.
[17]Khakestar M S，Hassani H，Moarefvand P，et al.Application of multi-criteria decision making methods in slope stability analysis of open pit mines［J］.Journal of the Geological Society of India，2016，87(2):213-221.
[18]Wu L Z，Li S H，Zhang M，et al.A new method for classifying rock mass quality based on MCS and TOPSIS［J］.Environmental Earth Sciences，2019，78(6):1-11.

基于改进理想点模型的岩体结构面分级方法

Rock Mass Structural Plane Classification Method Based on Improved Ideal Point Model

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

本文评价

[1]	毛文飞，吴立新，刘善军，徐忠印. 干、湿沙层对岩石受力微波辐射影响的实验对比[J]. 东北大学学报:自然科学版, 2018, 39(5): 710-715.
[2]	李帅，朱万成，于永军，赵龙. 动态扰动对不同含水率砂岩应力松弛影响的研究[J]. 东北大学学报:自然科学版, 2017, 38(9): 1330-1334.
[3]	阳军生，张聪，肖小文，张学民. 基于岩体层理特性的非线性抗剪强度准则研究[J]. 东北大学学报:自然科学版, 2017, 38(1): 126-131.
[4]	乔丽苹，李旗，王者超，杨磊. 岩壁变形条件下结构面法向变形特征[J]. 东北大学学报:自然科学版, 2016, 37(10): 1479-1484.
[5]	宋腾蛟，陈剑平，张文，宋盛渊. 基于萤火虫算法的岩体结构面优势产状聚类分析[J]. 东北大学学报:自然科学版, 2015, 36(2): 284-288.
[6]	鲍硕超，王清，鲍新华，王子健. 辽阳硅石矿岩质边坡岩体裂隙宽度概率统计[J]. 东北大学学报:自然科学版, 2014, 35(6): 885-889.
[7]	王述红，魏崴，陈浩，尹宏. 基于HDBSCAN算法的岩体结构面产状识别及分组方法[J]. 东北大学学报（自然科学版）, 2022, 43(6): 888-896.