NGA Project Strong-Motion Database

元数据 加速度 光谱加速度 滤波器(信号处理) 可用的 数据库 地质学 地震动 大地测量学 峰值地面加速度 地震学 计算机科学 物理 经典力学 操作系统 万维网 计算机视觉
作者
Brian Chiou,Robert B. Darragh,Nick Gregor,Walter Silva
出处
期刊:Earthquake Spectra [SAGE]
卷期号:24 (1): 23-44 被引量:714
标识
DOI:10.1193/1.2894831
摘要

A key component of the NGA research project was the development of a strong-motion database with improved quality and content that could be used for ground-motion research as well as for engineering practice. Development of the NGA database was executed through the Lifelines program of the PEER Center with contributions from several research organizations and many individuals in the engineering and seismological communities. Currently, the data set consists of 3551 publicly available multi-component records from 173 shallow crustal earthquakes, ranging in magnitude from 4.2 to 7.9. Each acceleration time series has been corrected and filtered, and pseudo absolute spectral acceleration at multiple damping levels has been computed for each of the 3 components of the acceleration time series. The lowest limit of usable spectral frequency was determined based on the type of filter and the filter corner frequency. For NGA model development, the two horizontal acceleration components were further rotated to form the orientation-independent measure of horizontal ground motion (GMRotI50). In addition to the ground-motion parameters, a large and comprehensive list of metadata characterizing the recording conditions of each record was also developed. NGA data have been systematically checked and reviewed by experts and NGA developers.
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
刚刚
刚刚
周士乐发布了新的文献求助10
刚刚
Sunshine发布了新的文献求助10
刚刚
呼吸之野完成签到,获得积分10
1秒前
害怕的小懒虫完成签到,获得积分10
1秒前
思源应助Nefelibata采纳,获得10
2秒前
妮儿发布了新的文献求助10
2秒前
BareBear应助rosa采纳,获得10
2秒前
沉默凡桃发布了新的文献求助10
3秒前
Orange应助9℃采纳,获得10
3秒前
3秒前
一只橘子完成签到 ,获得积分10
3秒前
4秒前
韭黄发布了新的文献求助10
4秒前
西瓜发布了新的文献求助10
4秒前
Ll发布了新的文献求助10
4秒前
4秒前
wcy关注了科研通微信公众号
4秒前
5秒前
5秒前
CipherSage应助爱喝冰可乐采纳,获得10
6秒前
6秒前
bdvdsrwteges完成签到,获得积分10
6秒前
鱼雷完成签到,获得积分10
7秒前
7秒前
天天快乐应助喜洋洋采纳,获得10
7秒前
PANSIXUAN完成签到 ,获得积分10
8秒前
善良香岚发布了新的文献求助10
8秒前
8秒前
huizi完成签到,获得积分20
8秒前
RichardZ完成签到,获得积分10
8秒前
8秒前
左左发布了新的文献求助10
9秒前
执着的怜寒应助哈哈哈haha采纳,获得40
9秒前
Cassie完成签到 ,获得积分10
10秒前
10秒前
雄i完成签到,获得积分10
10秒前
Chenly完成签到,获得积分10
11秒前
科目三应助韭黄采纳,获得10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759