[1]高焱,朱永全,张智勇,等.全风化花岗岩力学性能试验及蠕变参数反演[J].施工技术,2016,45(S2):112-116.
GAO Yan,ZHU Yongquan,ZHANG Zhiyong,et al.Mechanical properties test and creep parameter inversionof the fully weathered granite[J].Construction Technology,2016,45(S2):112-116.
[2]张素敏,朱永全,高炎,等.全风化花岗岩流变特性试验研究[J].地下空间与工程学报,2016,12(4):904-911.
ZHANG Sumin,ZHU Yongquan,GAO Yan,et al.Experimental investigation on rheological properties of completely weathered granite[J].Chinese Journal of Underground Space and Engineering,2016,12(4):904-911.
[3]周瑞鹤,程桦,蔡海兵,等.三轴压缩分级卸荷条件下粉砂岩蠕变特性及蠕变模型[J].岩石力学与工程学报,2022,41(6):1136-1147.
ZHOU Ruihe,CHENG Hua,CAI Haibing,et al.Creep characteristics and creep model of siltstone under triaxial compression and graded unloading [J].Chinese Journal of Rock Mechanics and Engineering,2022,41(6):1136-1147.
[4]张阳茁,杨杰,程琳,等.基于极限学习机的隧洞岩体蠕变参数反分析方法[J].水资源与水工程学报,2017,28(3):205-210.
ZHANG Yangzhuo,YANG Jie,CHENG Lin,et al.Back analysis of rock creep parameter based on extreme learning machine [J].Journal of Water Resources and Water Engineering,2017,28(3):205-210.
[5]冯研,袁胜洋,徐鹏,等.成绵乐高速铁路成都黏土地基蠕变参数反演及沉降预测[J].四川建筑科学研究,2014,40(5):148-150,159.
FENG Yan,YUAN Shengyang,XU Peng,et al.The creep parameters inversing and settlement prediction of Chengdu clay foundation in Cheng-Mian-Le high-speed railway [J].Sichuan Building Science,2014,40(5):148-150,159.
[6]王述红,董福瑞,朱宝强,等.山岭隧道围岩参数智能反演及稳定性分析[J].应用基础与工程科学学报,2021,29(5):1171-1185.
WANG Shuhong,DONG Furui,ZHU Baoqiang,et al.Intelligent inversion and stability analysis of surrounding rock parameters in mountain tunnel [J].Journal of Basic Science and Engineering,2021,29(5):1171-1185.
[7]CHEN C,LI T,MA C,et al.Hoek-Brown failure criterion-based creep constitutive model and BP neural network parameter inversion for soft surrounding rock mass of tunnels[J].Applied Sciences,2021,11(21):10033.
[8]WANG J,SUN J,KOU H,et al.Multiparameter inversion early warning system of tunnel stress-seepage coupling based on IA-BP algorithm[J].Advances in Civil Engineering,2021,2021:e1566693.
[9]LI C,HOU S,LIU Y,et al.Analysis on the crown convergence deformation of surrounding rock for double-shield TBM tunnel based on advance borehole monitoring and inversion analysis[J].Tunnelling and Underground Space Technology,2020,103:103513.
[10]ZHOU X,SUN X,LI Y,et al.Creep parameter inversion for high CFRDs based on improved BP neural network response surface method[J].Soft Computing,2022:1-15.
[11]SONG Z P,YANG T T,JIANG A N,et al.Experimental investigation and numerical simulation of surrounding rock creep for deep mining tunnels[J].Journal of the Southern African Institute of Mining and Metallurgy,2016,116(12):1181-1188.
[12]中华人民共和国交通运输部.公路隧道设计规范 第一册 土建工程:JTG 3370.1—2018[S].北京:人民交通出版社,2019.
[13]中华人民共和国交通运输部.公路工程地质勘察规范:JTG C20—2011[S].北京:人民交通出版社,2011.
[14]王睿,漆泰岳,冯剑,等.基于遗传算法的BP神经网络隧道施工参数正反演分析与应用[J].铁道学报,2016,38(4):98-104.
WANG Rui,QI Taiyue,FENG Jian,et al.Genetic algorithm based BP neural network for forward and backward analysis of tunnel construction parameters and its application [J].Journal of the China Railway Society,2016,38(4):98-104.
[15]王志亮,李筱艳,殷宗泽.遗传算法和改进的BP网络杂交法在岩土工程中应用[J].地下空间,2001(3):178-182,238.
WANG Zhiliang,LI Xiaoyan,YIN Zongze.Application of Genetic-Algorithm and improved BP network hybrid method in geotechnical engineering [J].Chinese Journal of Underground Space and Engineering,2001(3):178-182,238.
[16]王文玉,王希良,张骞.基于关联分析和遗传算法优化BP的隧道围岩变形预测[J].铁道标准设计,2020,64(5):126-132.
WANG Wenyu,WANG Xiliang,ZHANG Qian.Deformation prediction of tunnel surrounding rock based on correlation analysis and Genetic-Algorithm optimized BP [J].Railway Standard Design,2020,64(5):126-132.
[17]杨文东,张强勇,陈芳,等.基于压缩蠕变试验的流变参数理论解析反演[J].力学学报,2012,44(3):638-642.
YANG Wendong,ZHANG Qiangyong,CHEN Fang,et al.Theoretical analysis and inversion of rheological parameters based on compression creep test [J].Chinese Journal of Theoretical and Applied Mechanics,2012,44(3):638-642.
[18]陈静,江权,冯夏庭,等.基于位移增量的高地应力下硐室群围岩蠕变参数的智能反分析[J].煤炭学报,2019,44(5):1446-1455.
CHEN Jing,JIANG Quan,FENG Xiating,et al.Intelligent back analysis of rock mass creep parameters for large underground caverns under high in-situ stress based on incremental displacement [J].Journal of China Coal Society,2019,44(5):1446-1455.
[19]张锦,陈林,赖祖龙.改进遗传算法优化灰色神经网络隧道变形预测[J].测绘科学,2021,46(2):55-61,77.
ZHANG Jin,CHEN Lin,LAI Zulong.Tunnel deformation prediction based on grey neural network with improved genetic algorithm [J].Science of Surveying and Mapping,2021,46(2):55-61,77.
[20]高亚辉,徐嘉辰,胡福祥,等.大浞河铁矿软岩巷道围岩蠕变的黏弹性参数反演[J].金属矿山,2017(7):51-54.
Gao Yahui,Xu Jiachen,HU Fuxiang,et al.Viscoelastic parameters inversion of surrounding rock creep of soft rock roadway in Dazhuohe Iron Mine[J].Metal Mine,2017(7):51-54.
[21]吕志涛,吴庚林,靳晓光,等.隧道膨胀性围岩蠕变特性分析及参数反演[J].地下空间与工程学报,2016,12(6):1504-1510.
LYU Zhitao,WU Genglin,JIN Xiaoguang,et al.Analysis of creep characteristics and parameter inversion of expansive surrounding rock in tunnels[J].Chinese Journal of Underground Space and Engineering,2016,12(6):1504-1510.
[22]唐雄俊.考虑围岩应变软化与剪胀效应的深埋隧道合理支护时机分析[J].隧道建设(中英文),2021,41(S2):190-198.
TANG Xiongjun.Reasonable support time for deep-buried tunnel considering strain softening and shear dilation effect of surrounding rock[J].Tunnel Construction,2021,41(S2):190-198.
[23]杨军义.围岩蠕变、温度应力和水共同作用下水工隧洞衬砌防裂分析[D].武汉:武汉大学,2017.