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A Ground‐Motion Prediction Model for Shallow Crustal Earthquakes in Greece
Bulletin of the Seismological Society of America ( IF 2.6 ) Pub Date : 2021-04-01 , DOI: 10.1785/0120200270
David M. Boore 1 , Jonathan P. Stewart 2 , Andreas A. Skarlatoudis 3 , Emel Seyhan 4 , Basil Margaris 5 , Nikos Theodoulidis 5 , Emmanuel Scordilis 6 , Ioannis Kalogeras 7 , Nikolaos Klimis 8 , Nikolaos S. Melis 7
Affiliation  

Using a recently completed database of uniformly processed strong‐motion data recorded in Greece, we derive a ground‐motion prediction model (GMPM) for horizontal‐component peak ground velocity, peak ground acceleration, and 5% damped pseudoacceleration response spectra, at 105 periods ranging from 0.01 to 10 s. The equations were developed by modifying a global GMPM, to account for more rapid attenuation and weaker magnitude scaling in the Greek ground motions than in the global GMPM. Our GMPM is calibrated using the Greek data for distances up to 300 km, magnitudes from 4.0 to 7.0, and time‐averaged 30 m shear‐wave velocities from 150 to 1200 m/s⁠. The GMPM has important attributes for hazard applications including magnitude scaling that extends the range of applicability to M 8.0 and nonlinear site response. These features are possible because they are well constrained by data in the global GMPM from which our model is derived. An interesting feature of the Greek data, also observed previously in studies of mid‐magnitude events (6.1–6.5) in Italy, is that they are substantially overpredicted by the global GMPM, which may be a repeatable regional feature, but may also be influenced by soil–structure interaction. This bias is an important source of epistemic uncertainty that should be considered in hazard analysis.

中文翻译:

希腊浅层地震的地震动预测模型

使用最近完成的在希腊记录的经过统一处理的强运动数据数据库,我们得出了105个周期的水平分量峰值地面速度,峰值地面加速度和5%阻尼伪加速度响应谱的地面运动预测模型(GMPM)。范围从0.01到10 s。这些方程是通过修改全局GMPM来开发的,以解决比全球GMPM更快的衰减和更弱的希腊比例运动比例缩放的问题。我们的GMPM使用希腊数据进行了校准,最大距离为300 km,幅度从4.0到7.0,时均30 m剪切波速度从150到1200 m / s。GMPM对于危险性应用具有重要的属性,包括将其适用范围扩展到M 8.0的幅度缩放和非线性现场响应。这些功能之所以成为可能,是因为它们受到我们模型所基于的全局GMPM中数据的很好约束。希腊数据的一个有趣特征(以前也曾在意大利的中幅度事件(6.1-6.5)研究中观察到)是,它们被全球GMPM预测过高,这可能是可重复的区域特征,但也可能会受到影响通过土壤-结构相互作用。这种偏见是在危害分析中应考虑的认识不确定性的重要来源。但也可能受到土壤与结构相互作用的影响。这种偏见是在危害分析中应考虑的认识不确定性的重要来源。但也可能受到土壤与结构相互作用的影响。这种偏见是在危害分析中应考虑的认识不确定性的重要来源。
更新日期:2021-03-24
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