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Updating of the hierarchical rock mass rating(HRMR) system and a new subsystem developed for weathered granite formations 被引量:1

Updating of the hierarchical rock mass rating(HRMR) system and a new subsystem developed for weathered granite formations
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摘要 The RMR system is still very much applied in rock mechanics engineering context. It is based on the evaluation of six weights to obtain a final rating. To obtain the final rating a considerable amount of information is needed concerning the rock mass which can be difficult to obtain in some projects or project stages at least with accuracy. In 2007 an alternative classification scheme based on the RMR, the Hierarchical Rock Mass Rating(HRMR) was presented. The main feature of this system was the adaptation to the level of knowledge existent about the rock mass to obtain the classification of the rock mass since it followed a decision tree approach. However, the HRMR was only valid for hard rock granites with low fracturing degrees. In this work, the database was enlarged with approximately 40% more cases considering other types of granite rock masses including weathered granites and based on this increased database the system was updated. Granite formations existent in the north of Portugal including Porto city are predominantly granites. Some years ago a light rail infrastructure was built in the city of Porto and surrounding municipalities which involved considerable challenges due to the high heterogeneity levels of the granite formations and the difficulties involved in their geomechanical characterization. In this work it is intended to provide also a contribution to improve the characterization of these formations with special emphasis to the weathered horizons. A specific subsystem applicable to the weathered formations was developed. The results of the validation of these systems are presented and show acceptable performances in identifying the correct class using less information than with the RMR system. The RMR system is still very much applied in rock mechanics engineering context. It is based on the eval- uation of six weights to obtain a final rating. To obtain the final rating a considerable amount of informa- tion is needed concerning the rock mass which can be difficult to obtain in some projects or project stages at least with accuracy. In 2007 an alternative classification scheme based on the RMR, the Hierarchical Rock Mass Rating (HRMR) was presented. The main feature of this system was the adaptation to the level of knowledge existent about the rock mass to obtain the classification of the rock mass since it followed a decision tree approach. However, the HRMR was only valid for hard rock granites with low fracturing degrees. In this work, the database was enlarged with approximately 40% more cases considering other types of granite rock masses including weathered granites and based on this increased database the sys- tem was updated. Granite formations existent in the north of Portugal including Porto city are predom- inantly granites. Some years ago a light rail infrastructure was built in the city of Porto and surrounding municipalities which involved considerable challenges due to the high heterogeneity levels of the granite formations and the difficulties involved in their geomechanical characterization. In this work it is intended to provide also a contribution to improve the characterization of these formations with special emphasis to the weathered horizons. A specific subsystem applicable to the weathered formations was developed. The results of the validation of these systems are presented and show acceptable perfor- mances in identifying the correct class using less information than with the RMR system.
出处 《International Journal of Mining Science and Technology》 SCIE EI 2014年第6期769-775,共7页 矿业科学技术学报(英文版)
关键词 花岗岩地层 岩体风化 定子系统 开发 分类方法 知识水平 基础设施 力学特性 Rock mass classification system Decision tree Weathered granite formations
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  • 1Bieniawski ZT. Engineering rock mass classifications. New York: Wiley; 1989.
  • 2Miranda T. Geomechanical parameters evaluation in underground structures. Artificial intelligence, Bayesian probabilities and inverse methods. Guimaraes: University of Minho; 2007.
  • 3Lima C, Resende M, Plasencia N, Esteves C. Venda Nova II hydroelectric scheme powerhouse geotechnics and design. ISRM News J 2002;7(2):37-41.
  • 4Miranda T, Sousa LR. Application of data mining techniques for the development of geomechanical characterization models for rock masses. In: Innovative numerical modeling in geomechanics, London. 2012. p. 245-64.
  • 5Miranda T. Contribution to the calculation of geomechanical parameters for underground structures modelling in granite formations. Guimaraes: University of Minho; 2003.
  • 6Babendererde S, Hoek H, Marinos P, Cardoso AS. Geological risk in the use of TBMs in heterogeneous rock masses. In: The case of ‘Metro do Porto’, Geotechnical risks in rock tunnels. 2006. p. 41-52.
  • 7Ferreira P, Sousa TR, Silva P, Vasconcelos H, Foged N, Sousa LR. Numerical modeling and monitoring analysis of Heroismo Station, Porto Metro. In: the 11th ISRM Congress, Lisbon. 2007. p. 967-70.
  • 8Sousa RL. Risk analysis for tunneling projects. US: MIT; 2010. 599.
  • 9Berry M, Linoff G. Mastering data mining: the art and science of customer relationships management. New York: John Wiley & Sons; 2000.
  • 10Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. New York: Springer-Verlag; 2009.

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