Ground-motion models for earthquakes occurring in the United Kingdom

构造地质学 地震学 地震动 水文地质学 地质学 王国 岩土工程 古生物学
作者
John Douglas,Guillermo Aldama-Bustos,Sarah Tallett-Williams,Manuela Daví,Iain J. Tromans
出处
期刊:Bulletin of Earthquake Engineering [Springer Science+Business Media]
被引量:1
标识
DOI:10.1007/s10518-024-01943-8
摘要

Abstract This article presents models to predict median horizontal elastic response spectral accelerations for 5% damping from earthquakes with moment magnitudes ranging from 3.5 to 7.25 occurring in the United Kingdom. This model was derived using the hybrid stochastic-empirical method based on an existing ground-motion model for California and a stochastic model for the UK that was developed specifically for this purpose. The model is presented in two consistent formats, both for two distance metrics, with different target end-users. Firstly, we provide a complete logic tree with 162 branches, and associated weights, capturing epistemic uncertainties in the depth to the top of rupture, geometric spreading, anelastic path attenuation, site attenuation and stress drop, which is more likely to be used for research. The weights for these branches were derived using Bayesian updating of a priori weights from expert judgment. Secondly, we provide a backbone model with three and five branches corresponding to different percentiles, with corresponding weights, capturing the overall epistemic uncertainty, which is tailored for engineering applications. The derived models are compared with ground-motion observations, both instrumental and macroseismic, from the UK and surrounding region (northern France, Belgium, the Netherlands, western Germany and western Scandinavia). These comparisons show that the model is well-centred (low overall bias and no obvious trends with magnitude or distance) and that the branches capture the body and range of the technically defensible interpretations. In addition, comparisons with ground-motion models that have been previously used within seismic hazard assessments for the UK show that ground-motion predictions from the proposed model match those from previous models quite closely for most magnitudes and distances. The models are available as computer subroutines for ease of use.

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
幽默的羿完成签到,获得积分10
刚刚
沉默俊驰发布了新的文献求助10
刚刚
1秒前
超级绮波发布了新的文献求助10
1秒前
超级绮波发布了新的文献求助10
1秒前
超级绮波发布了新的文献求助10
2秒前
mkl发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
超级绮波发布了新的文献求助10
2秒前
禹晓兰发布了新的文献求助10
3秒前
超级绮波发布了新的文献求助10
3秒前
超级绮波发布了新的文献求助30
3秒前
含羞草发布了新的文献求助10
3秒前
3秒前
简单发布了新的文献求助10
4秒前
纯真电源发布了新的文献求助10
4秒前
6秒前
漫天繁星发布了新的文献求助10
6秒前
Orange应助还有一件事采纳,获得10
6秒前
快乐科研发布了新的文献求助10
6秒前
7秒前
8秒前
8秒前
Hobo1920完成签到,获得积分10
8秒前
欣慰碧琴发布了新的文献求助10
8秒前
DYYYY完成签到,获得积分10
9秒前
biiii完成签到,获得积分10
10秒前
科研通AI6.4应助56采纳,获得10
10秒前
11秒前
华仔应助Sunday1992采纳,获得30
12秒前
panpan发布了新的文献求助10
12秒前
青禾向暖发布了新的文献求助10
12秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7264939
求助须知:如何正确求助?哪些是违规求助? 8886072
关于积分的说明 18779738
捐赠科研通 6942736
什么是DOI,文献DOI怎么找? 3202782
关于科研通互助平台的介绍 2375987
邀请新用户注册赠送积分活动 2178699