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Robust attenuation relations for peak time-domain parameters of strong ground motions

机译:强地面运动的峰值时域参数的鲁棒衰减关系

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摘要

This study presents new attenuation models for the estimation of peak ground acceleration (PGA), peak ground velocity (PGV), and peak ground displacement (PGD) using a hybrid method coupling genetic programming and simulated annealing, called GP/SA. The PGA, PGV, and PGD were formulated in terms of earthquake magnitude, earthquake source to site distance, average shear-wave velocity, and faulting mechanisms. A worldwide database of strong ground motions released by Pacific Earthquake Engineering Research Center (PEER) was employed to establish the models. A traditional genetic programming analysis was performed to benchmark the proposed models. For more validity verification, the GP/SA models were employed to predict the ground-motion parameters of the Iranian plateau earthquakes. Sensitivity and parametric analyses were carried out and discussed. The results show that the GP/SA attenuation models can offer precise and efficient solutions for the prediction of estimates of the peak time-domain characteristics of strong ground motions. The performance of the proposed models is better than or comparable with the attenuation relationships found in the literature.
机译:这项研究提出了一种新的衰减模型,用于通过结合遗传编程和模拟退火的混合方法(称为GP / SA)来估算峰值地面加速度(PGA),峰值地面速度(PGV)和峰值地面位移(PGD)。 PGA,PGV和PGD是根据地震震级,震源到站点的距离,平均剪切波速度和断层机制制定的。利用太平洋地震工程研究中心(PEER)发布的全球强地面运动数据库来建立模型。进行了传统的遗传程序设计分析,以对建议的模型进行基准测试。为了进行更多的有效性验证,GP / SA模型被用来预测伊朗高原地震的地震动参数。进行了敏感性和参数分析。结果表明,GP / SA衰减模型可以为预测强地面运动的峰值时域特性估计提供精确而有效的解决方案。所提出的模型的性能优于或等于文献中发现的衰减关系。

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