| 基于中远场小震结构台阵观测数据的地震响应分析 |
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| 引用本文： | 尹建华,冀昆,崔建文,温瑞智,任叶飞.基于中远场小震结构台阵观测数据的地震响应分析[J].震灾防御技术,2018,13(4):911-920. |
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| 作者姓名： | 尹建华 冀昆 崔建文 温瑞智 任叶飞 |
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| 作者单位： | 1.中国地震局工程力学研究所, 地震工程与工程振动重点实验室, 哈尔滨 150080 |
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| 基金项目： | 国家重点研发计划项目（2017YFC1500801），国家自然科学基金（51778589、51878632）和黑龙江省自然科学基金（E2017065）联合资助 |
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| 摘 要： | 近年来我国布设的强震动观测结构台阵越来越多，并在数次地震中捕获了一批宝贵的观测记录，这些记录既是对应用日益广泛的结构数值模拟结果的检验和参数标定的依据，也是结构健康监测的重要数据。本文选取昆明防灾减灾中心大楼观测台阵捕获的3次中远场小震记录作为研究对象，对比ANSYS结构数值模拟和观测值之间在时程以及谱特性等方面的响应差别，证明了在弹性范围下二者结果具有较好的一致性。最后，基于观测记录，采用高效简单的经验谱比法进行了结构模态参数快速识别，3次地震下的自振频率计算结果相对稳定，与数值建模计算结果的差值可控制在0.17Hz以内。
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| 关 键 词： | 结构强震动观测台阵 加速度时程分析 谱比法 |
| 收稿时间： | 2018/3/20 0:00:00 |
Analysis of Structural Response by Using Strong Ground Motion Recordings from Middle and Far-field Small Earthquake Events |
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| Yin Jianhu,Ji Kun,Cui Jianwen,Wen Ruizhi and Ren Yefei.Analysis of Structural Response by Using Strong Ground Motion Recordings from Middle and Far-field Small Earthquake Events[J].Technology for Earthquake Disaster Prevention,2018,13(4):911-920. |
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| Authors: | Yin Jianhu Ji Kun Cui Jianwen Wen Ruizhi and Ren Yefei |
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| Institution: | 1.Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China2.Yunnan Earthquake Agency, Kunming 650224, China |
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| Abstract: | With the rapid development of structural strong ground motion observatory arrays in China, series of recordings in structure were obtained over the years. These records are the basis for checking and calibrating the results of structural numerical simulation, which is widely used nowadays, and also important data for structural health monitoring. With the finite element analysis software ANSYS, we simulate the dynamic structural response for one typical frame-shear structure under three middle and far-field earthquake events. Our results are consistent with observation results in the amplitude, acceleration time-history and spectrum shape, of which the response is within the elastic range. Then the structural nature frequency are identified with the empirical spectral ratio method using recordings from three different earthquake events. The identification results are in good consistency in using observation data from three earthquake events. The corresponding error between numerical simulation and observed data is less than 0.17Hz. |
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| Keywords: | Structural strong ground motion observatory arrays Acceleration time-history analysis Spectral ratio method |
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