Classification model of surrounding rock of underground oil storage caverns based on weights back analysis method and efficacy coefficient method and its application
|更新时间:2026-06-25
|
Classification model of surrounding rock of underground oil storage caverns based on weights back analysis method and efficacy coefficient method and its application
Vol. 34, Issue 12, (2013)
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:
CLC:TU457
Online First:19 December 2013,
Published:2013
稿件说明:
移动端阅览
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:
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:
Classification model of surrounding rock of underground oil storage caverns based on weights back analysis method and efficacy coefficient method and its application
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.