Ground Motion Models for the Horizontal Components of Arias Intensity (AI) and Cumulative Absolute Velocity (CAV) Using the NGA-West2 Database

Campbell Kenneth W.; Bozorgnia Yousef

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Ground Motion Models for the Horizontal Components of Arias Intensity (AI) and Cumulative Absolute Velocity (CAV) Using the NGA-West2 Database

机译：使用NGA-West2数据库的咏叹调强度（AI）和累积绝对速度（CAV）的水平分量的地面运动模型

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We updated our Next Generation Attenuation (NGA)-West1 ground motion models (GMMs) for the horizontal components of Arias intensity (AI) and cumulative absolute velocity (CAV) using the functional form and NGA-West2 database we used to develop GMMs for peak-amplitude and peak-spectral ground motion intensity measures (GMIMs). Our results show that CAV has the best goodness-of-fit statistics of all the GMIMs we have evaluated up to this time. Its relatively small between- and within-event standard deviations confirm its superior predictability. On the other hand, AI has the highest standard deviation of any GMIM we have studied thus far, which is approximately double that of CAV. Although either CAV or AI or a combination of both have been shown to meet various performance metrics proposed in the context of performance-based earthquake engineering (PBEE), CAV's high level of predictability makes it superior to AI for use in engineering applications, such as PBEE, that involve probabilistic inference.

机译：我们使用函数形式和用于开发峰值GMM的NGA-West2数据库更新了Arias强度（AI）和累积绝对速度（CAV）的水平分量的下一代衰减（NGA）-West1地面运动模型（GMM）振幅和峰值频谱地震动强度度量（GMIM）。我们的结果表明，到目前为止，CAV具有我们评估过的所有GMIM的最佳拟合优度统计。其事件之间和事件内的标准偏差较小，证实了其出色的可预测性。另一方面，到目前为止，AI在我们研究的所有GMIM中具有最高的标准偏差，大约是CAV的两倍。尽管已证明CAV或AI或两者的组合都可以满足在基于性能的地震工程（PBEE）中提出的各种性能指标，但CAV的高可预测性使其在工程应用中优于AI，例如PBEE，涉及概率推断。

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《Earthquake spectra》 |2019年第3期|1289-1310|共22页
作者
Campbell Kenneth W.; Bozorgnia Yousef;
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CoreLogic Inc Oakland CA 94607 USA;

Univ Calif Los Angeles Dept Civil & Environm Engn Los Angeles CA 90095 USA;

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专利

1. A Ground Motion Prediction Equation for the Horizontal Component of Cumulative Absolute Velocity (CAV) Based on the PEER-NGA Strong Motion Database [J] . Kenneth W. Campbell, rnYousef Bozorgnia Earthquake spectra . 2010,第3期

机译：基于PEER-NGA强运动数据库的累积绝对速度（CAV）水平分量的地面运动预测方程
2. A Referenced Empirical Ground-Motion Model for Arias Intensity and Cumulative Absolute Velocity Based on the NGA-East Database [J] . Bulletin of the Seismological Society of America . 2020,第2期

机译：基于NGA-EAST数据库的Arias强度和累积绝对速度的引用经验地面运动模型
3. A Comparison of Ground Motion Prediction Equations for Arias Intensity and Cumulative Absolute Velocity Developed Using a Consistent Database and Functional Form [J] . Kenneth W. Campbell, Yousef Bozorgnia Earthquake spectra . 2012,第3期

机译：使用一致的数据库和函数形式开发的地面强度和累积绝对速度的地面运动预测方程的比较
4. Ground Motion Prediction Equations for Cumulative Absolute Velocity (CAV) Using the PEER-NGA Strong Motion Database [C] . K.W. Campbell, Y. Bozorgnia European Conference on Earthquake Engineering . 2010

机译：使用PEER-NGA强运动数据库进行累积绝对速度（CAV）的地面运动预测方程
5. Horizontal-to-vertical component ratios for earthquake ground motions recorded on hard rock sites in Canada. [D] . Siddiqi, Jamila A. 2000

机译：在加拿大的硬石场地记录的地震地震动的水平分量与垂直分量之比。
6. Ground-Motion Prediction Models for Arias Intensity and Cumulative Absolute Velocity for Japanese Earthquakes Considering Single-Station Sigma and Within-Event Spatial Correlation [O] . Foulser-Piggott Roxane, Goda Katsu 2015

机译：考虑单站西格玛和事件内空间相关性的日本地震咏叹调强度和累积绝对速度的地面运动预测模型
7. NGA-West2 Model for Estimating Average Horizontal Values of Pseudo-Absolute Spectral Accelerations Generated by Crustal Earthquakes. [R] . I. M. Idriss 2013

机译：NGa-West2模型估算地壳地震产生的伪绝对光谱加速度的平均水平值。

Ground Motion Models for the Horizontal Components of Arias Intensity (AI) and Cumulative Absolute Velocity (CAV) Using the NGA-West2 Database

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