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Forecast of strong ground motion field near the fault for earthquake disaster reduction in urban areas

机译:城市地震减灾故障附近强大地面运动场的预报

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Earthquake disasters are caused mainly from the damage and collapse of engineering structures, and the latter is mainly made by strong ground motion during the event. As city areas and scales of engineering structures are getting larger and larger in recent years, more than ever before, the forecast of strong ground motion field is emphasized. From a case study at Lanzhou city of China, a new developed approach is introduced in this paper. A hybrid source model that combines Asperity model with a K squire model is adopted. The high frequency motion is synthesized by random procedure and low frequency motion is calculated by a simplified numerical Green Function procedure, the two are combined in time domain after high and low pass filtered separately. Finally, the application of the result in the disaster reduction of the city is suggested.
机译:地震灾害主要来自工程结构的损坏和崩溃,后者主要是在活动期间强大的地面运动制作。由于城市地区和工程结构的尺度近年来越来越大,比以往任何时候都更多,强调了强大的地面运动场预测。从中国兰州市案例研究,本文介绍了一种新的发达方法。采用将具有K级模型的锐化模型结合的混合源模型。通过随机过程合成高频运动,并且通过简化的数值绿色功能过程计算低频运动,两者在高且低通滤波后在时域中组合。最后,提出了该城市减灾结果的应用。

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