Approaches to Soil Hazard in Partially Nonergodic Ground-Motion Models

地震动 危害 运动(物理) 环境科学 地质学 统计物理学 计算机科学 物理 地震学 人工智能 化学 有机化学
作者
Irene Liou,Norman A. Abrahamson,Renmin Pretell
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society]
标识
DOI:10.1785/0120230316
摘要

ABSTRACT Partially nonergodic ground-motion models (GMMs) are used in probabilistic seismic hazard analysis for calculating site-specific hazards for soil sites. In calculating soil hazard as a part of the partially nonergodic methodology (also called single-station sigma), the ergodic sigma is reduced by modeling the median site-specific site term relative to the ergodic GMM. The standard deviation of the median site-specific site term is removed from the ergodic standard deviation, but the global value of the site-amplification (AF) variability about the median site term remains in the single-station sigma. It has been common practice to include the aleatory variability of site amplification from analytical modeling of the site response in the soil hazard calculation combined with the single-station sigma for the input motion variability, but this double counts the site-amplification variability by including both the global AF variability and the site-specific AF variability. Two approaches for avoiding this double counting are presented: (1) remove the global AF variability and add the site-specific AF variability for both linear and nonlinear behavior; and (2) assume that at low strain, the site-specific AF variability is equal to the global AF variability. This second approach eliminates the need to estimate global AF variability for the linear range, which is currently not well calibrated. A second issue related to aleatory variability for site response is the treatment of the model error from a 1D site response analysis. In some approaches, the model error is combined with aleatory variability for a simplified approach to estimating the mean hazard, but the model error should be modeled as an epistemic uncertainty as the model error can be reduced with improvements to the model.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Bazinga发布了新的文献求助10
刚刚
黄bb完成签到,获得积分10
刚刚
李爱国应助Hiccupsssss采纳,获得10
刚刚
刚刚
哆啦十七应助导师求放过采纳,获得10
1秒前
Howes91完成签到,获得积分10
1秒前
1秒前
小二郎应助忆仙姿采纳,获得10
1秒前
香蕉觅云应助贾千兰采纳,获得10
1秒前
1秒前
ysq发布了新的文献求助10
1秒前
1秒前
望天发布了新的文献求助10
1秒前
宁人发布了新的文献求助10
2秒前
落叶的季节完成签到,获得积分10
2秒前
3秒前
bkagyin应助妙aaa采纳,获得10
3秒前
Zhang发布了新的文献求助10
3秒前
3秒前
3秒前
li发布了新的文献求助10
3秒前
3秒前
3秒前
orixero应助自由思枫采纳,获得10
3秒前
4秒前
蓝色的云发布了新的文献求助30
4秒前
朴实的绮南完成签到,获得积分10
4秒前
领导范儿应助zhang-leo采纳,获得10
4秒前
斯文败类应助无限的兔子采纳,获得10
4秒前
薛小飞飞完成签到 ,获得积分10
4秒前
英俊的铭应助与卿123采纳,获得80
4秒前
5秒前
5秒前
oldjeff完成签到 ,获得积分10
5秒前
5秒前
6秒前
7秒前
7秒前
style完成签到,获得积分20
7秒前
小青椒应助csy0303采纳,获得30
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Beyond the sentence : discourse and sentential form / edited by Jessica R. Wirth 600
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
Vertebrate Palaeontology, 5th Edition 500
Fiction e non fiction: storia, teorie e forme 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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5330356
求助须知:如何正确求助?哪些是违规求助? 4469805
关于积分的说明 13910955
捐赠科研通 4363153
什么是DOI,文献DOI怎么找? 2396686
邀请新用户注册赠送积分活动 1390108
关于科研通互助平台的介绍 1360884