采矿与安全工程学报2015，Vol.32Issue(6)：989-995,7.DOI:10.13545/j.cnki.jmse.2015.06.020
冻结黏土蠕变模型的模糊随机辨识与综合选优
Fuzzy random identification and comprehensive selection for frozen clay creep model
摘要
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 coef-ficient, 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 comprehen-sive 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.关键词
冻结黏土/蠕变模型/模糊蚁群算法/模糊随机辨识/综合选优Key words
frozen clay/creep model/fuzzy ant colony algorithm/fuzzy random identification/comprehensive selection分类
矿业与冶金引用本文复制引用
姚亚锋,程桦,荣传新,黎明镜,蔡海兵,宋健..冻结黏土蠕变模型的模糊随机辨识与综合选优[J].采矿与安全工程学报,2015,32(6):989-995,7.基金项目
国家自然科学基金项目(51374010,51474004) （51374010,51474004）
安徽高校省级自然科学研究重点项目(KJ2010A094,KJ2011A093) （KJ2010A094,KJ2011A093）
