基于云模型的隧洞围岩工程地质分类方法及应用

张勇; 石胜伟; 何江达

doi:10.13544/j.cnki.jeg.2016.03.001

基于云模型的隧洞围岩工程地质分类方法及应用

doi: 10.13544/j.cnki.jeg.2016.03.001

张勇^1,2,
石胜伟^1,2,
何江达³

1.
中国地质调查局地质灾害防治技术中心成都 611734;
2.
中国地质科学院探矿工艺研究所成都 611734;
3.
四川大学水利水电学院成都 610065

基金项目:

中国地质调查局地质调查项目(DD20160278),国土资源部公益性行业科研专项(201511051)资助

详细信息

作者简介:
张勇(1981-),男,博士,主要从事地质工程和地质灾害研究工作.Email:zhangenhua11@163.com

中图分类号: P642.2
计量
- 文章访问数: 2570
- HTML全文浏览量: 181
- PDF下载量: 813
- 被引次数: 0
出版历程
- 收稿日期: 2015-04-02
- 修回日期: 2015-09-04
- 刊出日期: 2016-06-25

APPLICATION OF CLOUD MODEL TO ENGINEERING GEOLOGY CLASSIFICATION OF SURROUNDING ROCK MASS OF TUNNEL

1.
Technical Center for Geological Hazard Prevention and Control, CGS, Chengdu 611734;
2.
Inst. of Exploration Technol. CAGS, Chengdu 611734;
3.
School of Hydraulic and Hydroelectric Eng., Sichuan Univ., Chengdu 610065

摘要

摘要: 本文将云模型理论应用于隧洞围岩工程地质分类,通过建立隧洞围岩分类多级定量指标体系及评价等级标准,计算隧洞围岩云模型隶属度,将定性评价与定量划分成果进行结合,判定隧洞围岩工程地质类别。通过工程实践应用,该方法对围岩分类问题中的模糊性和随机性进行了统一,围岩分类结果与多位地质工程师联合判断结果相比较,在共计15段围岩中有14段相同,具有高的准确度,云模型理论应用于隧洞围岩分类是合理可行的。
- 云模型 /
- 隧洞 /
- 围岩 /
- 工程地质分类
Abstract: This paper applies the cloud model theory to engineering geology classification of the surrounding rock mass of tunnel. It calculates the cloud model membership degrees via instituting multi-level quantitative system and assessment level standards of the surrounding rock mass. It then determines the engineering geology classification of the surrounding rock mass by combining qualitative assessment with quantitative classifying results. Through engineering practices, it is shown that the cloud model theory unifies the ambiguity and randomness associated with the conventional surrounding rock mass classification. Its results are compared with the results that are jointly determined by several geological engineers. This comparison shows that the results of rock mass classification are identical in 14 sections among the total 15 sections. The new method has high accuracy and can be reasonably practicable for the classification of the surrounding rock mass of tunnel.
- Cloud model /
- Tunnel /
- Surrounding rock /
- Engineering geology classification

HTML全文

参考文献(1)

Bouchon-Meunier B,Valverde L,Yager R R. 1993. Uncertainty in intelligent systems[M]. Amsterdam, New York:North Holland Press.

Chu H D,Xu G L,Li P P,et al. 2013. Correlation of rock mass classifications surrounding large underground cavern and application[J]. Journal of Engineering Geology,21(5):688~695.

Cui Y X,Nie D X,Chen Q,et al. 2005. Determinacy of spatial distribution and positioning of the main fractures in a huge underground powerhouse[J]. Journal of Chengdu University of Technology(Science & Technology Edition),32(4):351~355.

Gao W R,Duan C Q,Chen X N, et al. 2009. Prediction of annual precipitation based on the cloud model[J]. China Rural Water and Hydropower,(3):32-35.

Li D Y,Du Y. 2005. Artificial intelligence with uncertainty[M]. Beijing:National Defense Industry Press.

Liu D D,Chen X H,Lou Z H. 2009. Analysis on characteristics of spatial-temporal precipitation distribution based on cloud model[J]. Journal of Hydraulic Engineering,40(7):850~857.

Shen Y J,Xu G L,Yang G S,et al. 2014. Probability distribution characteristics of rock mass classification and its mechanical parameters based on fine description[J]. Rock and Soil Mechanics,35(2):565~572.

Sun J G,Li T B,Huang Y Q,et al. 2003. Design of fuzzy inference system for classification of underground construction surrounding rock[J]. Journal of Engineering Geology,11(3):269~274.

Wang J,Wu J,Yang K Q. 2010. Application overview based on Cloud Model[J]. Silicon Valley,(8):81~82.

Wei J H,Wu J M,Sun S R. 2002. Estimation and analysis of the cases on classifications of rock mass[J]. Journal of Engineering Geology,10(1):51~54.

Zhang B F,Tan J R,Cai Q. 1999. Generalized uncertainty reasoning model[J]. Pattern Recognition and Artificial Intelligence,12(3):292~299.

Zhang L M. 2011. Applying cloud model to multifactor evaluation algorithm[J]. Science & Technology Information,(32):12.

储汉东,徐光黎,李鹏鹏,等. 2013. 大型地下洞室围岩分类相关性分析及应用[J]. 工程地质学报,21(5):688~695.

崔银祥,聂德新,陈强,等. 2005. 大跨度地下洞室围岩结构面空间展布的确定性研究[J]. 成都理工大学学报(自然科学版),32(4):351~355.

高文荣,段春青,陈晓楠,等. 2009. 基于云推理的年降水预测模型[J]. 中国农村水利水电,(3):32~35.

李德毅、杜鹢. 2005. 不确定性人工智能[M]. 北京:国防工业出版社.

刘德地,陈晓宏,楼章华. 2009. 基于云模型的降雨时空分布特性分析[J]. 水利学报,40(7):850~857.

申艳军,徐光黎,杨更社,等. 2014. 基于岩体精细化描述的围岩分类及力学参数概率分布特征分析[J]. 岩土力学,35(2):565~572.

孙建国,李天斌,黄润秋,等. 2003. 地下工程围岩分类模糊推理系统设计[J]. 工程地质学报,11(3):269~274.

王洁,吴坚,杨克强. 2010. 基于云模型的应用综述[J]. 硅谷,(8):81~82.

魏继红,吴继敏,孙少锐. 2002. 岩体分类实例分析与研究[J]. 工程地质学报,10(1):51~54.

张利民. 2011. 基于云模型的多因素评判算法[J]. 科技信息,(32):12.

施引文献

资源附件(0)

访问统计