To overcome the subjectity in determining the index parameters of surrounding rock by existing classification methods, six parameters, namely, uniaxial saturated compressive strength, integrity coefficient, volumetric joint number, groundwater, quality index RQD, and elastic longitudinal wave velocity of surrounding rock, were selected as evaluation indexes. Surrounding rock classification was carried out by using entropy weight extension matter-element theory and entropy weight cloud model mathematical analysis method, respectively. The rationality and accuracy of the two methods were verified by the data of surrounding rock classification in the design and construction stage of Longnan tunnel of Ganzhou-Shenzhen high-speed railway. Results manifested that entropy weight method could overcome subjectivity and avoid human interference in calculating the weight coefficient of evaluation index. The present two methods of surrounding rock classification are conducive to the development of intelligent and information-based surrounding rock classification.
Key words
tunnel egeineering /
classification of surrounding rock /
entropy method /
extension matter element theory /
cloud model
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