[1] 程井, 孟凡轩, 李宗樾. 基于实测资料的混凝土拱坝反馈分析及安全度评价[J]. 武汉大学学报(工学版), 2019, 52(4):297-302, 310. CHENG J, MENG F X, LI Z Y. Feedback analysis and safety degree evaluation of concrete arch dam based on measured data[J]. Engineering Journal of Wuhan University, 2019, 52(4):297-302, 310. (in Chinese)
[2] 刘毅, 高阳秋晔, 张国新, 等. 锦屏一级特高拱坝工作性态仿真与反演分析[J]. 水利水电技术, 2017, 48(1):46-51. LIU Y, GAOYANG Q Y, ZHANG G X, et al. Simulation and inversion analysis on working behavior of super-high arch dam of Jinping I Hydropower Station[J]. Water Resources and Hydropower Engineering, 2017, 48(1):46-51. (in Chinese)
[3] 胡清义, 朱喜, 田功臣. 构皮滩拱坝坝体与坝基变形模量反演分析[J]. 武汉大学学报(工学版), 2021, 54(9):801-809. HU Q Y, ZHU X, TIAN G C. Inversion analysis of deformation modulus of Goupitan high arch dam and its foundation rock[J]. Engineering Journal of Wuhan University, 2021, 54(9):801-809. (in Chinese)
[4] 何柱, 刘耀儒, 杨强, 等. 基于位移反分析的小湾拱坝稳定性评价[J]. 岩石力学与工程学报, 2013, 32(11):2242-2249. HE Z, LIU Y R, YANG Q, et al. Research on stability estimation of Xiaowan arch dam based on displacement back analysis[J]. Chinese Journal of Rock Mechanics and Engineering, 2013, 32(11):2242-2249. (in Chinese)
[5] BUKENYA P, MOYO P, BEUSHAUSEN H, et al. Health monitoring of concrete dams:A literature review[J]. Journal of Civil Structural Health Monitoring, 2014, 4(4):235-244.
[6] 何柱, 刘耀儒, 杨强, 等. 溪洛渡拱坝谷幅变形机制及变形反演和长期稳定性分析[J]. 岩石力学与工程学报, 2018, 37(S2):4198-4206. HE Z, LIU Y R, YANG Q, et al. Mechanism of valley deformation of Xiluodu arch dam and back analysis and long-term stabilyty analysis[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(S2):4198-4206. (in Chinese)
[7] 程立, 刘耀儒, 潘元炜, 等. 基于蓄水期反演的锦屏一级拱坝极限承载力分析[J]. 岩土力学, 2016, 37(5):1388-1398. CHENG L, LIU Y R, PAN Y W, et al. Research on ultimate bearing capacity of Jinping-I Arch Dam based on impoundment period inversion[J]. Rock and Soil Mechanics, 2016, 37(5):1388-1398. (in Chinese)
[8] 杨剑, 王进廷, 王吉焕, 等. 二滩拱坝及坝基材料参数反馈分析[J]. 水力发电学报, 2008, 27(2):78-83. YANG J, WANG J T, WANG J H, et al. Feedback analysis of material parameters of Ertan arch dam and its foundation rock[J]. Journal of Hydroelectric Engineering, 2008, 27(2):78-83. (in Chinese)
[9] 梁国贺, 胡昱, 樊启祥, 等. 溪洛渡高拱坝蓄水期谷幅变形特性与影响因素分析[J]. 水力发电学报, 2016, 35(9):101-110. LIANG G H, HU Y, FAN Q X, et al. Analysis on valley deformation of Xiluodu high arch dam during impoundment and its influencing factors[J]. Journal of Hydroelectric Engineering, 2016, 35(9):101-110. (in Chinese)
[10] 赵英华, 李同春, 程井, 等. 基于统计模型及有限元法的重力坝变形模量反演[J]. 水电能源科学, 2015, 33(12):96-100. ZHAO Y H, LI T C, CHENG J, et al. Inverse analysis of deformation modulus of gravity dam based on statistic model and finite element method[J]. Water Resources and Power, 2015, 33(12):96-100. (in Chinese)
[11] 冯帆, 邱信蛟, 张国新, 等. 基于施工期变形监测的特高拱坝力学参数反演研究[J]. 岩土力学, 2017, 38(1):237-246. FENG F, QIU X J, ZHANG G X, et al. Inversion of mechanical parameters of super-high arch dam based on deformation monitoring during construction period[J]. Rock and Soil Mechanics, 2017, 38(1):237-246. (in Chinese)
[12] 李宗樾, 程井, 张枝阳, 等. 基于有限元法的高拱坝分区变形模量反演分析[J]. 三峡大学学报(自然科学版), 2018, 40(4):1-5. LI Z Y, CHENG J, ZHANG Z Y, et al. Parameter inversion of regional deformation modulus for high arch dam using FEM[J]. Journal of China Three Gorges University (Natural Sciences), 2018, 40(4):1-5. (in Chinese)
[13] 黄耀英, 黄光明, 吴中如, 等. 基于变形监测资料的混凝土坝时变参数优化反演[J]. 岩石力学与工程学报, 2007, 26(S1):2941-2945. HUANG Y Y, HUANG G M, WU Z R, et al. Optimization inversion of concrete dam's time-dependent parameters based on deformation monitoring data[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(S1):2941-2945. (in Chinese)
[14] 刘福深, 刘耀儒, 杨强, 等. 基于改进遗传算法的拱坝位移反分析[J]. 岩石力学与工程学报, 2005, 24(23):4341-4345. LIU F S, LIU Y R, YANG Q, et al. Displacement back analysis of arch dams based on improved genetic algorithm[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(23):4341-4345. (in Chinese)
[15] 刘耀儒, 杨强, 刘福深, 等. 基于并行改进遗传算法的拱坝位移反分析[J]. 清华大学学报(自然科学版), 2006, 46(9):1542-1545, 1550. LIU Y R, YANG Q, LIU F S, et al. Inverse analyses of arch dam displacements using improved parallel genetic algorithm[J]. Journal of Tsinghua University (Science & Technology), 2006, 46(9):1542-1545, 1550. (in Chinese)
[16] YAO F H, GUAN S H, YANG H, et al. Long-term deformation analysis of Shuibuya concrete face rockfill dam based on response surface method and improved genetic algorithm[J]. Water Science and Engineering, 2019, 12(3):196-204.
[17] ZHOU W, LI S L, MA G, et al. Parameters inversion of high central core rockfill dams based on a novel genetic algorithm[J]. Science China Technological Sciences, 2016, 59(5):783-794.
[18] ZHU Y, CHI S C. The application of MsPSO in the rockfill parameter inversion of CFRD[J]. Mathematical Problems in Engineering, 2016, 2016:1096967.
[19] CHEN Y J, GU C S, WU B B, et al. Inversion modeling of dam-zoning elasticity modulus for heightened concrete dam using ICS-IPSO algorithm[J]. Mathematical Problems in Engineering, 2019, 2019:9328326.
[20] 李火坤, 邓冰梅, 魏博文, 等. 基于有限测点的高拱坝原型整体动位移场反演研究[J]. 振动与冲击, 2016, 35(10):1-8. LI H K, DENG B M, WEI B W, et al. Inversion of the whole dynamic displacement field of a prototype high arch dam based on limited points measurement[J]. Journal of Vibration and Shock, 2016, 35(10):1-8. (in Chinese)
[21] CHEN B, FU X, GUO X Y, et al. Zoning elastic modulus inversion for high arch dams based on the PSOGSA-SVM method[J]. Advances in Civil Engineering, 2019, 2019:7936513.
[22] SUN Y, JIANG Q H, YIN T, et al. A back-analysis method using an intelligent multi-objective optimization for predicting slope deformation induced by excavation[J]. Engineering Geology, 2018, 239:214-228.
[23] 陈闯, CHELLALI R, 邢尹. 改进遗传算法优化BP神经网络的语音情感识别[J]. 计算机应用研究, 2019, 36(2):344-346, 361. CHEN C, CHELLALI R, XING Y. Speech emotion recognition based on improved genetic algorithm optimized BP neural network[J]. Application Research of Computers, 2019, 36(2):344-346, 361. (in Chinese)
[24] SRINIVAS M, PATNAIK L M. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1994, 24(4):656-667.
[25] 苏崇宇, 汪毓铎. 基于改进的自适应遗传算法优化BP神经网络[J]. 工业控制计算机, 2019, 32(1):67-69. SU C Y, WANG Y D. BP neural network optimized by improved adaptive genetic algorithm computer engineering and applications[J]. Industrial Control Computer, 2019, 32(1):67-69. (in Chinese)
[26] 李步遥, 司马军. 基于MEC-BP神经网络的基坑水平位移反演分析[J]. 铁道科学与工程学报, 2021, 18(7):1764-1772. LI B Y, SIMA J. Horizontal displacement back-analysis for deep excavation using MEC-BP neural network[J]. Journal of Railway Science and Engineering, 2021, 18(7):1764-1772. (in Chinese)
[27] LU J S, XIE W D, ZHOU H B. Combined fitness function based particle swarm optimization algorithm for system identification[J]. Computers & Industrial Engineering, 2016, 95:122-134.
[28] LIU Y R, WU Z S, YANG Q, et al. Dynamic stability evaluation of underground tunnels based on deformation reinforcement theory[J]. Advances in Engineering Software, 2018, 124:97-108.
[29] 侯少康, 刘耀儒, 张凯. 基于IPSO-BP混合模型的TBM掘进参数预测[J]. 岩石力学与工程学报, 2020, 39(8):1648-1657. HOU S K, LIU Y R, ZHANG K. Prediction of TBM tunnelling parameters based on IPSO-BP hybrid model[J]. Chinese Journal of Rock Mechanics and Engineering, 2020, 39(8):1648-1657. (in Chinese)