Allowable Deformation Prediction for Surrounding Rock of Underground Caverns Based on Support Vector Machine

Authors

  • Ma Cong
    Affiliation
    College of Defense Engineering, PLA University of Science and Technology
  • Tan Yuehu
    Affiliation
    College of Defense Engineering, PLA University of Science and Technology
  • Li Erbing
    Affiliation
    College of Defense Engineering, PLA University of Science and Technology
  • Yang Meng
    Affiliation
    College of Defense Engineering, PLA University of Science and Technology
  • Duan Jianli
    Affiliation
    College of Defense Engineering, PLA University of Science and Technology
https://doi.org/10.3311/PPci.7732

Abstract

This paper presents a novel allowable deformation prediction model of surrounding rock based on support vector machine (SVM). The engineering rock mass classification is subdivided based on the national standards Standard for Engineering Classification of Rock Masses in order to get more accurate physicalmechanical parameters. Using the developed parameters, 100 sets of multi-factors and multi-levels orthogonal experiments are designed, which are simulated with two-dimensional numerical models established based on ABAQUS. 100 groups of learning samples and 9 samples of random inspection are obtained. The prediction model has been established from the study of learning samples based on LibSVM. Using this model, 9 samples of random inspection and 9 engineering examples are predicted and the prediction accuracy is good compared with their actual values. It is indicated that this model can meet the initial support design requirements of underground caverns well. The novel model has the advantages of convenience, rapidity, and reliability.

Keywords:

allowable deformation, engineering rock mass classification, orthogonal experiment, prediction, support vector machine, underground caverns

Citation data from Crossref and Scopus

Published Online

2016-05-27

How to Cite

Cong, M., Yuehu, T., Erbing, L., Meng, Y., Jianli, D. “Allowable Deformation Prediction for Surrounding Rock of Underground Caverns Based on Support Vector Machine”, Periodica Polytechnica Civil Engineering, 60(3), pp. 361–369, 2016. https://doi.org/10.3311/PPci.7732

Issue

Section

Research Article