(中南大學(xué) 資源與安全工程學(xué)院，長沙 410083)
摘 要: 選取巖體飽和抗壓強度、巖體質(zhì)量指標(biāo)、體積節(jié)理系數(shù)、巖石內(nèi)縱波波速值、嵌合程度和完整性系數(shù)作為巖體質(zhì)量分級的指標(biāo)因素，從系統(tǒng)角度入手，在一維云的基礎(chǔ)上提出一種模糊RES(巖石系統(tǒng)工程)-多維云巖體質(zhì)量的分級模型。結(jié)果表明：以云模型改進RES編碼方式，可以有效弱化RES的主觀性；基于改進的模糊RES分析了因素-因素、因素-系統(tǒng)間交互的作用，從系統(tǒng)的角度確定了因素的重要度；結(jié)合每個指標(biāo)因素以多維云理論生成5朵六維巖體質(zhì)量等級云模型，以軟件程序?qū)崿F(xiàn)工程實例驗證，與實際地質(zhì)報告、可拓法、一維云模型法評判的結(jié)果一致。
關(guān)鍵字: 巖石力學(xué)；巖體質(zhì)量；模糊RES；多維云模型；優(yōu)勢參數(shù)
（School of Resources and Safety Engineering, Central South University, Changsha 410083, China）
Abstract:The saturated uniaxial compressive strength, rock quality designation, acoustic longitudinal wave velocity, chimerity and integrality coefficient are selected as the index factors of rock mass quality classification. Based on the system engineering and one-dimensional cloud theory, a fuzzy RES (Rock engineering system)—multidimensional cloud model for rock mass quality evaluation was proposed. The results show that improving the RES coding mode with cloud model can effectively weaken the subjectivity of RES. Based on the improved fuzzy RES, the factors-factors and factors-system interactions are analyzed, and the degree of importance of factors are determined from the perspective of the system. According to each index factor, five six-dimensional cloud models of rock mass quality grade are generated by multidimensional cloud theory. The method is compiled by the software program and verified by an engineering example. The result highly agrees with the geological report, extension theory and one-dimensional cloud model theory.
Key words: rock mechanics; rock mass quality; fuzzy RES; multidimensional cloud model; advantage parameter
