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作 者:翟世龙[1] 刘萍[1] 黄静[2] 艾萨·伊斯马伊力 毛玉剑 ZHAI Shi-long;LIU Ping;HUANG Jing;Aisa Yisimaili;MAO Yu-jian(Earthquake Agency of Xinjiang Uygur Autonomous Region,Urumqi 830011,Xinjiang,China;Water Conservancy and Civil Engineering School,Xinjiang Agricultural University,Urumqi 830011,Xinjiang,China)
机构地区:[1]新疆维吾尔自治区地震局,新疆乌鲁木齐830011 [2]新疆农业大学水利与土木工程学院,新疆乌鲁木齐830052
出 处:《内陆地震》2023年第4期353-361,共9页Inland Earthquake
基 金:新疆地震科学基金(202201);新疆维吾尔自治区自然基金特培项目(2022D03031);新疆地震科学基金(202121).
摘 要:针对土石坝上实测强震动记录识别大坝模态参数的问题,根据地震中坝体监测点记录的强震动数据和基于多项式逼近的有外部输入的非线性自回归神经网络NARX模型构建了土石坝非线性模态参数识别方法,对土石坝非线性动力反应与激励输入之间的传递函数进行研究,将其应用于新疆克孜尔土石坝主坝0+220断面的模态频率和模态阻尼比的计算,并结合计算结果和工程运行实际对克孜尔大坝运行状态进行评价。理论分析和工程实例均表明,本方法具有较高的精度,识别的传递函数能够反映土石坝的动力特性,具有重要的理论研究意义和工程实践价值。In response to the problem of identifying dam modal parameters from measured strong motion records on earth-rock dams,a nonlinear modal parameter identification method for earth-rock dams was constructed based on strong motion data recorded at monitoring points during earthquakes and a nonlinear auto regressive neural network NARX model with external inputs based on polynomial approximation.The transfer function between nonlinear dynamic response and excitation input of earth-rock dams was studied,and then applied to the calculation of modal frequency and modal damping ratio of the 0+220 section of the main dam of the Kezier earth rock dam in Xinjiang,and evaluated the operational status of the Kezier dam based on the calculation results and actual engineering operation.Theoretical analysis and engineering examples have shown that this method has high accuracy,and the identified transfer function can reflect the dynamic characteristics of earthrock dams,which has important theoretical research significance and engineering practical value.
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