Modeling Path Effects Due to 3D Velocity Structure for Nonergodic Ground-Motion Models: A Case Study Using Turkish Ground-Motion Data

衰减 地震动 高斯分布 高斯过程 参数化(大气建模) 路径(计算) 统计物理学 背景(考古学) 计算机科学 数学 物理 地质学 光学 古生物学 地震学 程序设计语言 辐射传输 量子力学
作者
Chenying Liu,Jorge Macedo,Norman A. Abrahamson,Maxime Lacour,Zeynep Gülerce,Albert Kottke,A. Arda Özacar
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
标识
DOI:10.1785/0120240055
摘要

ABSTRACT The objective of this study is to assess the performance of different path-effect models for developing nonergodic ground motion models (GMMs) using a Turkish ground-motion database. The cell-specific attenuation approach is widely used to capture path effects in the formulation of nonergodic GMMs. However, this approach can mainly capture anelastic attenuation effects associated with the spatial variation of the quality factor, and it is limited in capturing 3D velocity structure effects, which may be, in particular, relevant for long-period ground motions or short-distance and short-period ground motions. Recent efforts have introduced new models to incorporate 3D velocity structure effects; however, the assessment of these models in the context of instrumentally recorded ground motions is limited. This study assesses the performance of three path-effects models for Türkiye. Specifically, we consider the cell-specific attenuation approach and two additional models based on Gaussian processes but with a different parametrization on how they represent the spatial correlation of path effects. The results indicate that the models based on Gaussian processes outperform the cell-specific approach for long-period spectral accelerations and short-period ground motions at short distances, offering significant aleatory standard deviation reductions. The differences between the Gaussian process-based models are also discussed, highlighting how their parameterization is reflected in prediction patterns. This study contributes to the transition from ergodic to nonergodic approaches in performance-based earthquake engineering.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ava应助文艺点点采纳,获得10
1秒前
量子星尘发布了新的文献求助10
1秒前
AKA蜻蜓队长完成签到,获得积分10
1秒前
二丙完成签到 ,获得积分10
1秒前
Qing发布了新的文献求助10
1秒前
2秒前
2秒前
4秒前
4秒前
4秒前
5秒前
111完成签到,获得积分10
5秒前
夢loey完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
桐桐应助Sophist采纳,获得10
6秒前
猪猪hero发布了新的文献求助10
6秒前
HA123完成签到,获得积分20
6秒前
珂珂完成签到,获得积分10
7秒前
7秒前
8秒前
打打应助海光采纳,获得10
8秒前
拖拉机发布了新的文献求助10
8秒前
侠女发布了新的文献求助10
8秒前
achenghn发布了新的文献求助10
8秒前
彭于晏应助传统的如霜采纳,获得10
8秒前
lin.xy完成签到,获得积分10
8秒前
111发布了新的文献求助10
9秒前
9秒前
HA123发布了新的文献求助10
9秒前
留胡子的以蓝完成签到 ,获得积分10
10秒前
llg发布了新的文献求助10
10秒前
洁白的故人完成签到 ,获得积分10
10秒前
11秒前
zzz完成签到 ,获得积分20
11秒前
11秒前
11秒前
lin.xy发布了新的文献求助10
11秒前
Titi发布了新的文献求助10
12秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The Insulin Resistance Epidemic: Uncovering the Root Cause of Chronic Disease  500
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3663010
求助须知:如何正确求助?哪些是违规求助? 3223738
关于积分的说明 9753126
捐赠科研通 2933645
什么是DOI,文献DOI怎么找? 1606294
邀请新用户注册赠送积分活动 758404
科研通“疑难数据库(出版商)”最低求助积分说明 734792