基于权重反分析和功效系数法的地下储油洞库围岩分类模型及应用研究

薛翊国; 李术才; 邱道宏; 王者超; 苏茂鑫; 田 昊

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基于权重反分析和功效系数法的地下储油洞库围岩分类模型及应用研究

岩土工程研究 | 更新时间：2026-06-25

- 基于权重反分析和功效系数法的地下储油洞库围岩分类模型及应用研究
- Classification model of surrounding rock of underground oil storage caverns based on weights back analysis method and efficacy coefficient method and its application
- 岩土力学 2013年34卷第12期
- 作者机构：
  
  山东大学岩土与结构工程研究中心,济南,250061
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TU457
- 网络首发：2013-12-19，
  
  纸质出版：2013
- 稿件说明：
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薛翊国, 李术才, 邱道宏, 等. 基于权重反分析和功效系数法的地下储油洞库围岩分类模型及应用研究[J]. 岩土力学, 2013,34(12).

XUE Yi-guo, LI Shu-cai, QIU Dao-hong, et al. Classification model of surrounding rock of underground oil storage caverns based on weights back analysis method and efficacy coefficient method and its application[J]. 2013, 34(12).
薛翊国, 李术才, 邱道宏, 等. 基于权重反分析和功效系数法的地下储油洞库围岩分类模型及应用研究[J]. 岩土力学, 2013,34(12). DOI：

XUE Yi-guo, LI Shu-cai, QIU Dao-hong, et al. Classification model of surrounding rock of underground oil storage caverns based on weights back analysis method and efficacy coefficient method and its application[J]. 2013, 34(12). DOI：

摘要

选取岩石抗压强度、完整系数、结构面状态、地下水发育情况、洞轴线与软弱结构面的夹角作为地下储油库工程围岩稳定性的评价因素，并采用权重反分析的方法确定各指标的权重，建立了基于权重反分析方法和功效系数法的洞库围岩稳定性评价模型。最后，将建立的围岩分类模型应用于实际工程，通过与实际开挖结果对比表明，模型判别结果与实际开挖揭露围岩类别相吻合，证明了该方法用于地下储油洞库围岩分类的合理性和有效性，为地下储油洞库围岩稳定性判别提供了一种新思路。

Abstract

Based on weights back analysis and efficiency coefficient method

a new surrounding rock classification model of underground oil storage caverns is put forward. And rock compressive strength

integrated coefficient

character of discontinuity

groundwater

the angle between tunnel axis and soft surface are selected as key factors of surrounding rock stability. Then using weights back analysis method to determine the weights of factors

after which the model of the surrounding rock classification can be established based on weights back analysis method and efficacy coefficient method. Finally

the established classification of surrounding rocks model is used in practice; and the results show that the outcomes of stability analysis match the actual surrounding rock classification. It proves that the method used in surrounding rock classification of underground oil storage caverns is rational and effective

so as to provide a new idea to predict surrounding rock criterion for underground oil storage caverns stability.

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