Journal of Mining & Safety Engineering ›› 2015, Vol. 32 ›› Issue (6): 989-995.

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Fuzzy random identification and comprehensive selection for frozen clay creep model

  

  • Received:2015-03-11 Online:2015-11-15 Published:2015-12-04

Abstract: The uniaxial compressive strength test has been conducted on the artificial frozen clay in Huainan mine under the temperature of -5, -10 and -15 ℃. The result shows effect law of temperature for the uniaxial compressive strength of artificial frozen clay. The uniaxial creep test of high, mid and low stress levels has been carried out under the conditions of -5, -10 and -15 ℃ respectively, which leads to the effect law of temperature and stress level for creep. The traditional ant colony algorithm has been optimized into fuzzy ant colony algorithm according to optimal-solution pheromone of fuzzy coefficient, with the search efficiency increased and local optimum avoided. It is used in random inversion for the creep compliance of the common model, then the dual factors objective function for comprehensive selection is built by taking precision and complexity into consideration, finally the optimized model is obtained under three different stresses with appropriate fuzzy weight calculation method.

Key words: frozen clay, creep model, fuzzy ant colony algorithm, fuzzy random identification, comprehensive selection