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人工冻结黏土广义开尔文蠕变本构模型模糊随机优化

姚亚锋 程桦 荣传新 张楠 林键

姚亚锋, 程桦, 荣传新, 张楠, 林键. 人工冻结黏土广义开尔文蠕变本构模型模糊随机优化[J]. 煤田地质与勘探, 2019, 47(2): 162-167. doi: 10.3969/j.issn.1001-1986.2019.02.025
引用本文: 姚亚锋, 程桦, 荣传新, 张楠, 林键. 人工冻结黏土广义开尔文蠕变本构模型模糊随机优化[J]. 煤田地质与勘探, 2019, 47(2): 162-167. doi: 10.3969/j.issn.1001-1986.2019.02.025
YAO Yafeng, CHENG Hua, RONG Chuanxin, ZHANG Nan, LIN Jian. Fuzzy random optimization of generalized Kelvin constitutive model for creep of artificial freezing clay[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(2): 162-167. doi: 10.3969/j.issn.1001-1986.2019.02.025
Citation: YAO Yafeng, CHENG Hua, RONG Chuanxin, ZHANG Nan, LIN Jian. Fuzzy random optimization of generalized Kelvin constitutive model for creep of artificial freezing clay[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(2): 162-167. doi: 10.3969/j.issn.1001-1986.2019.02.025

人工冻结黏土广义开尔文蠕变本构模型模糊随机优化

doi: 10.3969/j.issn.1001-1986.2019.02.025
基金项目: 

国家自然科学基金项目(51874005,51374010,51474004);江苏省建设系统科技计划项目(2017ZD062);南通职业大学自然科学研究项目(16ZK05)

详细信息
    第一作者:

    姚亚锋,1978年生,男,江苏南通人,博士,副教授,从事智能计算在地下结构工程方面的研究.E-mail:mike.yyf@yeah.net

  • 中图分类号: TU4

Fuzzy random optimization of generalized Kelvin constitutive model for creep of artificial freezing clay

Funds: 

National Natural Science Foundation of China(51874005,51374010,51474004)

  • 摘要: 冻土的蠕变本构模型是冻结法建井的重要参考资料。在-5℃、-10℃、-15℃和-20℃下,针对人工冻结黏土进行不同应力等级的单轴蠕变试验,获得不同温度、不同应力等级条件下蠕变曲线的变化规律。通过模糊随机迭代搜索改进传统的Guess-Newton算法,得到模糊随机Guess-Newton算法步骤,利用改进的算法优化广义开尔文本构模型参数,获得各温度和应力下的优化蠕变模型。工程试验表明:模糊随机Guess-Newton算法能有效地优化广义开尔文本构模型参数,使模型更好地拟合冻土各阶段的蠕变值,准确地表征了冻土的蠕变特性,同时改进后的算法较传统的算法效率更高,收敛更快。

     

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出版历程
  • 收稿日期:  2018-04-05
  • 发布日期:  2019-04-25

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