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Research on the application of dynamic weighting on the rock mass quality rating

  • Wenfeng Tu
  • Liping LiEmail author
  • Shucai Li
  • Shaoshuai ShiEmail author
  • Zongqing Zhou
  • Diyang Chen
Original Paper
  • 17 Downloads

Abstract

Many rock mass classification systems have been proposed for rock masses by considering a particular rock structure and/or specific purposes. The traditional rock mass quality rating system ignores the impact of uncertainty, complexity, and ambiguity on the classification of tunnels surrounding rock masses. The calculation of the traditional weighted values only addresses the selection of the evaluation index rather than self-adjustment with changes to the total weight. To solve this issue, the dynamic weight and extension methodology are introduced to improve the evaluation of rock quality. The sample grade can be evaluated by calculating the variable eigenvalue of the object grade. This method can avoid disadvantages that occur during the calculation of the weight value. Additionally, it can fully reflect the impact of the rock mass when the same factor has different data for the evaluation, making the results more reasonable. Therefore, it can avoid the subjectivity of the evaluation process and make the evaluation results more reasonable. Finally, the results from studies of tunneling projects show that factors affecting the weight value have a dynamic property. Even if the evaluation factors are same, the weight value will alter the values of the factors.

Keywords

Uncertainty Dynamic weight Extension theory Classifications of surrounding rock masses Rock mass quality rating 

Notes

Acknowledgments

The authors would like to express appreciation to the reviewers for their valuable comments and suggestions that helped to improve the quality of the paper.

Funding information

This work was supported by the National Science Fund for Excellent Young Scholars (NO. 51722904), National Natural Science Foundation ofChina (NO.51679131, NO. 51609129, NO. 51709159), Shandong Province ScienceFoundation for Distinguished Young Scholars (NO. JQ201611), the Key Research andDevelopment Project of Shandong Province (No. 2017GSF220014), China RailwayCorporation Science and Technology Research and Development Program (No.P2018G007), the Fundamental Research Funds of Shandong University (No.2016GN026), and Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (Grant No. 2016zd13).

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Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  1. 1.Geotechnical and Structural Engineering Research CenterShandong UniversityJinanChina
  2. 2.School of Qilu TransportationShandong UniversityJinanChina
  3. 3.State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringNanjing Hydraulic Research InstituteNanjingChina
  4. 4.China Railway Economic and Planning Research InstituteBeijingChina
  5. 5.Research Institute of New Material and Intelligent EquipmentShandong UniversityDezhouChina

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