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

Authors

YAO Yafeng, Post-doctoral Research Station of Safety Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China; School of Architectual Engineering, Nantong Vocational College, Nantong 226001, China
CHENG Hua, Post-doctoral Research Station of Safety Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China; School of Resources and Environmental Engineering, Anhui University, Hefei 230022, China
RONG Chuanxin, Post-doctoral Research Station of Safety Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
ZHANG Nan, Post-doctoral Research Station of Safety Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
LIN Jian, Post-doctoral Research Station of Safety Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China

Abstract

The constitutive model of freezing creep is one of the important reference data for shaft building using freezing method. Uniaxial creep tests under different stress levels were conducted for the artificial freezing clay at -5℃, -10℃, -15℃ and -20℃. So the changing rules of creep curves were obtained under the condition of different temperatures and different stress levels. On this basis, traditional Guess-Newton algorithm has been improved by fuzzy random iterative search and the of the fuzzy random Guess-Newton algorithm steps were obtained, then we use the improved algorithm to optimize the parameters of the generalized Kelvin constructive model, obtained the optimized creep model under various temperature and stress. Engineering experiments show that fuzzy random Guess-Newton algorithm can effectively optimize generalized Kelvin constitutive model parameters, thus making the model better fit to creep values of freezing clay at each stage and accurately representing of the creep characteristics of freezing clay. At the same time, the improved algorithm is more efficient and faster convergent than the traditional algorithm.

Keywords

frozen clay, generalized Kelvin, fuzzy random, Guess-Newton algorithm

DOI

10.3969/j.issn.1001-1986.2019.02.025

Recommended Citation

YAO Yafeng, CHENG Hua, RONG Chuanxin, et al. (2019) "Fuzzy random optimization of generalized Kelvin constitutive model for creep of artificial freezing clay," Coal Geology & Exploration: Vol. 47: Iss. 2, Article 26.
DOI: 10.3969/j.issn.1001-1986.2019.02.025
Available at: https://cge.researchcommons.org/journal/vol47/iss2/26

Reference

[1] 王元战,黄东旭,肖忠. 天津滨海地区两种典型软黏土蠕变特性试验研究[J]. 岩土工程学报,2012,34(2):379-384. WANG Yuanzhan,HUANG Dongxu,XIAO Zhong. Experimental research on creep properties of two typical soft clays in coastal region of Tianjin[J]. Chinese Journal of Geotechnical Engineering,2012,34(2):379-384.

[2] 袁文华. 人工冻土黏弹塑性本构参数反分析研究[J]. 岩土力学,2013,34(11):3091-3095. YUAN Wenhua. Artificial frozen soil sticky-elastop-lastic constitutive parameter inverse analysis and research[J]. Rock and Soil Mechanics,2013,34(11):3091-3095.

[3] 汪仁和,李栋伟. 深井冻结壁黏弹塑性力学分析[J]. 安徽理工大学学报,2006,26(2):17-19. WANG Renhe,LI Dongwei. Viscoelastic plasticity me-chanics analysis on deep frozen shaft[J]. Journal of Anhui University of Science and Technology,2006,26(2):17-19.

[4] 宁建国,王慧,朱志武,等. 基于细观力学方法的冻土本构模型研究[J]. 北京理工大学学报,2005,25(10):847-850. NING Jianguo,WANG Hui,ZHU Zhiwu,et al. Research of the frozen soil constitutive model based on mesoscopic mechanics method[J]. Journal of Beijing Institute of Tech-nology,2005,25(10):847-850.

[5] 曹伟,盛煜,吴吉春,等. 煤矿井工开采对冻土环境的影响分析[J]. 煤田地质与勘探,2016,44(4):98-104. CAO Wei,SHENG Yu,WU Jichun,et al. Impact of underground mining on permafrost environment[J]. Coal Geology & Exploration,2016,44(4):98-104.

[6] 李栋伟,汪仁和. 考虑损伤效应的冻黏土蠕变本构理论研究[J]. 煤田地质与勘探,2007,35(1):53-55. LI Dongwei,WANG Renhe. Study theory on frozen clay creep constitutive with considering the damage effect[J]. Coal Geology & Exploration,2007,35(1):53-55.

[7] 李金兰. 岩体非定常黏弹塑性有限元分析及位移反分析[D]. 青岛:山东科技大学,2006.

[8] YANG Yugui,LAI Yuanming,CHANG Xiaoxiao. Experimental and theoretical studies on the creep behavior of warm ice-rich frozen sand[J]. Cold Regions Science and Technology,2010,63(1/2):61-67.

[9] 张强勇,陈芳,杨文东,等. 大岗山坝区岩体现场剪切蠕变试验及参数反演[J]. 岩土力学,2011,32(9):2584-2590. ZHANG Qiangyong,CHEN Fang,YANG Wendong,et al. Field shear creep test and creep parameters inversion for dam zone rock mass of Dagangshan hydropower station[J]. Rock and Soil Mechanics,2011,32(9):2584-2590.

[10] LI Dongwei,FAN Juhong,WANG Renhe. Research on visco-elastic-plastic creep model of artificially frozen soil under high confining pressures[J]. Cold Regions Science and Technology,2011,65(2):219-225.

[11] 薛凯喜,赵宝云,刘东燕,等. 岩石非线性拉、压蠕变模型及其参数识别[J]. 煤炭学报,2011,36(9):1440-1445. XUE Kaixi,ZHAO Baoyun,LIU Dongyan,et al. Nonlinear creep model of rock in tensile or compressive stress and its parameter identification[J]. Journal of China Coal Society,2011,36(9):1440-1445.

[12] 李守巨. 智能计算与参数反演[M]. 北京:科学出版社,2008.

[13] 权国通,谭超,侯海潮,等. 基于粒子群三次样条优化的采煤机截割路径规划[J]. 煤炭科学技术,2011,39(3):77-79. QUAN Guotong,TAN Chao,HOU Haichao,et al. Cutting path planning of coal shearer base on particle swarm triple spline optimization[J]. Coal Science and Technology,2011,39(3):77-79.

[14] 赵宝云,刘东燕,郑志明,等. 基于短时三轴蠕变试验的岩石非线性黏弹塑性蠕变模型研究[J]. 采矿与安全工程学报,2011,28(3):446-451. ZHAO Baoyun,LIU Dongyan,ZHENG Zhiming,et al. Non-linear visco-elastic plastic creep models of rocks based on the short time triaxial creep test[J]. Journal of Mining & Safety Engineering,2011,28(3):446-451.

[15] 陈军浩,姚兆明,徐颖,等. 人工冻土蠕变特性粒子群分数阶导数模型[J]. 煤炭学报,2013,38(10):1763-1768. CHEN Junhao,YAO Zhaoming,XU Ying,et al. Particle swarm fractional order derivative model of artificial frozen soil creep properties[J]. Journal of China Coal Society,2013,38(10):1763-1768.