Empirical Relationships between Modified Mercalli Intensity and Engineering Ground-Motion Parameters in Greece

麦卡利强度标度 强度(物理) 地震动 地质学 运动(物理) 环境科学 地震学 计算机科学 物理 光学 峰值地面加速度 人工智能
作者
G.‐A. Tselentis,Laurentiu Danciu
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society of America]
卷期号:98 (4): 1863-1875 被引量:90
标识
DOI:10.1785/0120070172
摘要

Abstract New relationships between modified Mercalli intensity (MMI) and engineering ground-motion parameters are developed for Greece. The ground-motion parameters investigated were peak ground acceleration (PGA), velocity, displacement, Arias intensity, and cumulative absolute velocity. The observed earthquake intensity is quantified in terms of the observed MMI at the recording station and the data set consists of 310 time histories recorded from 89 Greek earthquakes. The selected records were found to be characterized by high-frequency, low-energy content and short duration. Two sets of empirical relationships between MMI and the selected ground-motion parameters were derived. The first set of MMI predictive equations are independent of magnitude and epicentral distance, and they were derived by fitting the mean values of the ground-motion parameters using a weighted least-squares regression technique. The influence of magnitude, epicentral distance, and the local site conditions were incorporated into the second MMI predictive model, resulting in a decrease of the model variance. The lowest standard deviation observed for the first MMI predictive model was for PGA, while for the second MMI predictive model, Arias intensity exhibited the smallest variability. Another finding of the present study was that the local site effect has a little influence on the MMI predictive model for peak ground velocity (PGV). The proposed predictive equations are valid for MMI values IV–VIII, and some of them might be used for rapid assessment of the ground shaking and mapping damage potential.
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
林宥嘉完成签到 ,获得积分10
2秒前
Joseph_LIN完成签到,获得积分10
2秒前
hou完成签到 ,获得积分10
3秒前
短巷完成签到 ,获得积分10
4秒前
luckkit完成签到 ,获得积分10
5秒前
Much完成签到 ,获得积分10
5秒前
倪小呆完成签到 ,获得积分10
7秒前
Singularity应助科研通管家采纳,获得10
12秒前
12秒前
美好乐松应助科研通管家采纳,获得10
12秒前
NexusExplorer应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
36456657应助科研通管家采纳,获得10
12秒前
隐形曼青应助科研通管家采纳,获得10
12秒前
12秒前
Loooong应助科研通管家采纳,获得10
12秒前
美好乐松应助科研通管家采纳,获得10
12秒前
LZQ应助科研通管家采纳,获得10
13秒前
Loooong应助科研通管家采纳,获得10
13秒前
36456657应助科研通管家采纳,获得10
13秒前
13秒前
明天更好完成签到 ,获得积分10
13秒前
LZQ应助科研通管家采纳,获得10
13秒前
美好乐松应助科研通管家采纳,获得10
13秒前
科研通AI5应助科研通管家采纳,获得10
13秒前
LZQ应助科研通管家采纳,获得10
13秒前
Loooong应助科研通管家采纳,获得10
13秒前
斯文败类应助科研通管家采纳,获得10
13秒前
美好乐松应助科研通管家采纳,获得10
13秒前
小蘑菇应助科研通管家采纳,获得10
13秒前
默默地读文献应助李剑鸿采纳,获得10
16秒前
不吃芹菜完成签到,获得积分10
23秒前
赵坤煊完成签到 ,获得积分10
23秒前
MM完成签到,获得积分10
28秒前
fls221完成签到,获得积分10
36秒前
tyt完成签到 ,获得积分10
37秒前
畅快山兰完成签到 ,获得积分10
40秒前
40秒前
小飞飞完成签到,获得积分10
43秒前
shadow完成签到,获得积分10
45秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
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 First Nuclear Era: The Life and Times of a Technological Fixer 500
岡本唐貴自伝的回想画集 500
Distinct Aggregation Behaviors and Rheological Responses of Two Terminally Functionalized Polyisoprenes with Different Quadruple Hydrogen Bonding Motifs 450
Ciprofol versus propofol for adult sedation in gastrointestinal endoscopic procedures: a systematic review and meta-analysis 400
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 3671358
求助须知:如何正确求助?哪些是违规求助? 3228175
关于积分的说明 9778776
捐赠科研通 2938469
什么是DOI,文献DOI怎么找? 1610028
邀请新用户注册赠送积分活动 760503
科研通“疑难数据库(出版商)”最低求助积分说明 736020