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Author:

Wang, Wei (Wang, Wei.) (Scholars:王伟) | Su, Jing-Yu (Su, Jing-Yu.) (Scholars:苏经宇) | Ma, Dong-Hui (Ma, Dong-Hui.) (Scholars:马东辉) | Tian, Jie (Tian, Jie.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Evaluation of rock mass quality is a complex system problem with uncertainty. For the sake of accurate evaluation of the estate of rock mass quality, and to provide scientific basis for the prevention of rock mass quality, the evaluating method for rock mass quality based on fractal interpolation theory was brought forward. Firstly, eight key factors were chosen to construct the model. In addition, because of few standard samples, fifty standard samples were produced by the way of stochastic interpolation on basis of classification standard. Secondly, through calculating the fractal dimension of single index of rock mass quality, the fractal dimension exponent evaluation of the index of single rock mass quality with the maximum likelihood classification principle was confirmed. Thirdly, adopting weighted summation value this method calculated the level of the colligate estimation of multi-index of rock mass quality and established the fractal interpolation evaluation model according to the relationship between the value of comprehensive evaluation of the samples and the experience level. Finally, four samples were classified based on the model. The classification results are consistent with that from other methods. It is shown that the model here is feasible and effective in evaluating rock mass quality. Moreover, particular score of each sample can be computed by the model, and so it has more precise classification and is a better new method.

Keyword:

Maximum likelihood estimation Fractal dimension Rocks Stochastic systems Interpolation Rock mechanics Quality control

Author Community:

  • [ 1 ] [Wang, Wei]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Wei]College of Civil Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Su, Jing-Yu]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Ma, Dong-Hui]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Tian, Jie]College of Civil Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Central South University (Science and Technology)

ISSN: 1672-7207

Year: 2012

Issue: 12

Volume: 43

Page: 4827-4833

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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