[1] CHEN H J, XU W Y, WU Q X, et al. Reliability analysis of arch dam subjected to seismic loads[J]. Arabian Journal for Science and Engineering, 2014, 39(11):7609-7619.
[2] YAO X W, ELNASHAI A S, JIANG J Q. Analytical seismic fragility analysis of concrete arch dams[C]//Proceedings of the 15th World Conference on Earthquake Engineering. Lisbon, Portugal:WCEE, 2012.
[3] WANG J T, ZHANG M X, JIN A Y, et al. Seismic fragility of arch dams based on damage analysis[J]. Soil Dynamics and Earthquake Engineering, 2018, 109:58-68.
[4] ANDERSON D, MCNEILL G. Artificial neural networks technology[R]. New York:Data & Analysis Center for Software, 1992.
[5] LIU K, GUO W Y, SHEN X L, et al. Research on the forecast model of electricity power industry loan based on GA-BP neural network[J]. Energy Procedia, 2012, 14:1918-1924.
[6] FENG G L, LI L. Application of genetic algorithm and neural network in construction cost estimate[C]//Proceedings of the 2012 2nd International Conference on Computer and Information Application. Paris, France:Atlantis Press, 2012:1036-1039.
[7] 余功栓. 人工智能技术在大坝安全分析中的应用[D]. 杭州:浙江大学, 2004. YU G S. Application of artificial intelligent in safety analysis of embankment[D]. Hangzhou:Zhejiang University, 2004. (in Chinese)
[8] DING S F, SU C Y, YU J Z. An optimizing BP neural network algorithm based on genetic algorithm[J]. Artificial Intelligence Review, 2011, 36(2):153-162.
[9] MATA J. Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models[J]. Engineering Structures, 2011, 33(3):903-910.
[10] SONG L F, XU B, KONG X J, et al. Reliability analysis of 3D rockfill dam slope stability based on the Copula function[J]. International Journal of Geomechanics, 2021, 21(3):04021001.
[11] LIU J, WANG G Y, CHEN Y. Research and application of GA neural network model on dam displacement forecasting[C]//11th Biennial ASCE Aerospace Division International Conference on Engineering, Science, Construction, and Operations in Challenging Environments. Long Beach, California, USA:ASCE, 2008, 323:1-9.
[12] 苏怀智, 吴中如, 温志萍, 等. 遗传算法在大坝安全监控神经网络预报模型建立中的应用[J]. 水利学报, 2001(8):44-48. SU H Z, WU Z R, WEN Z P, et al. The application of genetic algorithm in establishment of neural network forecast model for dam safety monitoring[J]. Journal of Hydraulic Engineering, 2001(8):44-48. (in Chinese)
[13] MCCULLOCH W S, PITTS W. A logical calculus of the ideas immanent in nervous activity[J]. The Bulletin of Mathematical Biophysics, 1943, 5(4):115-133.
[14] HOPFIELD J J. Neural networks and physical systems with emergent collective computational abilities[J]. Proceedings of the National Academy of Sciences of the United States of America, 1982, 79(8):2554-2558.
[15] RUMELHART D E, HINTON G E, WILLIAMS R J. Learning representations by back-propagating errors[J]. Nature, 1986, 323(6088):533-536.
[16] 刘春艳, 凌建春, 蔻林元, 等. GA-BP神经网络与BP神经网络性能比较[J]. 中国卫生统计, 2013, 30(2):173-176, 181. LIU C Y, LING J C, KOU L Y, et al. Performance comparison between GA-BP neural network and BP neural network[J]. Chinese Journal of Health Statistics, 2013, 30(2):173-176, 181. (in Chinese)
[17] 金爱云. 高拱坝地震易损性研究[D]. 北京:清华大学, 2020. JIN A Y. Seismic fragility analysis of high arch dams[D]. Beijing:Tsinghua University, 2020. (in Chinese)
[18] TOTHONG P, LUCO N. Probabilistic seismic demand analysis using advanced ground motion intensity measures[J]. Earthquake Engineering & Structural Dynamics, 2007, 36(13):1837-1860.
[19] HARIRI-ARDEBILI M A, SAOUMA V E. Probabilistic seismic demand model and optimal intensity measure for concrete dams[J]. Structural Safety, 2016, 59:67-85.
[20] ARIAS A. A measure of earthquake intensity[M]//HANSEN R J. Seismic Design for Nuclear Power Plants. Cambridge, MA, USA:MIT Press, 1970:438-483.
[21] 崔恩文. 基于速度谱强度高铁列车地震报警阈值研究[D]. 哈尔滨:中国地震局工程力学研究所, 2014. CUI E W. Study on spectral intensity of speed based earthquake alarm threshold of high speed trains[D]. Harbin:China Earthquake Administration, 2014. (in Chinese)
[22] YANG D X, PAN J W, LI G. Non-structure-specific intensity measure parameters and characteristic period of near-fault ground motions[J]. Earthquake Engineering & Structural Dynamics, 2009, 38(11):1257-1280.
[23] ZHANG C H, JIN F, WANG J T, et al. Nonlinear behavior and seismic safety evaluation of concrete dams[M]. Beijing:Tsinghua University Press, 2012.
[24] 潘坚文, 王进廷, 张楚汉. 超强地震作用下拱坝的损伤开裂分析[J]. 水利学报, 2007, 38(2):143-149. PAN J W, WANG J T, ZHANG C H. Analysis of damage and cracking in arch dams subjected to extremely strong earthquake[J]. Journal of Hydraulic Engineering, 2007, 38(2):143-149. (in Chinese)
[25] LIU J B, LI B. A unified viscous-spring artificial boundary for 3-D static and dynamic applications[J]. Science in China Series E-Engineering & Materials Science, 2005, 48(5):570-584.
[26] LEE J, FENVES G L. Plastic-damage model for cyclic loading of concrete structures[J]. Journal of Engineering Mechanics, 1998, 124(8):892-900.
[27] 潘坚文. 高混凝土坝静动力非线性断裂与地基辐射阻尼模拟研究[D]. 北京:清华大学, 2010. PAN J W. Nonlinear static and seismic fracture analysis of high concrete dams and modeling of radiation damping for foundation[D]. Beijing:Tsinghua University, 2010. (in Chinese)
[28] SHOME N, CORNELL C A. Probabilistic seismic demand analysis of nonlinear structures[D]. Stanford:Stanford University, 1999.
[29] 吕大刚, 于晓辉, 潘峰, 等. 基于改进云图法的结构概率地震需求分析[J]. 世界地震工程, 2010, 26(1):7-15. LÜ D G, YU X H, PAN F, et al. Probabilistic seismic demand analysis of structures based on an improved cloud method[J]. World Earthquake and Engineering, 2010, 26(1):7-15. (in Chinese)
