亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

An Efficient Algorithm to Identify Strong-Velocity Pulses in Multicomponent Ground Motions

算法 地质学 计算机科学 大地测量学
作者
S. K. Shahi,Jack W. Baker
出处
期刊:Bulletin of the Seismological Society of America [Seismological Society]
卷期号:104 (5): 2456-2466 被引量:377
标识
DOI:10.1785/0120130191
摘要

Ground motions with strong velocity pulses are of special concern for structural engineers. We describe an efficient and quantitative method to identify such ground motions. Previous algorithms to classify these pulse-like ground motions con- sidered the ground motion in a single orientation, which made classifying pulses in arbitrary orientations difficult. We propose an algorithm that can identify pulses at arbitrary orientations in multicomponent ground motions, with little extra computa- tional cost relative to a single-orientation calculation. We use continuous wavelet transforms of two orthogonal components of the ground motion to identify the ori- entations most likely to contain a pulse. The wavelet transform results are then used to extract pulses from the selected orientations, and a new classification criterion based on support vector machines is proposed. Because we are mostly interested in forward directivity pulses, which are found early in the time history, a criterion to reject pulses arriving late in the time history is also proposed. The procedure was used to classify ground motions in the Next Generation Attenuation-West2 database (Ancheta et al., 2013). The list of pulse-like ground motions was then manually filtered using source- to-site geometry and site conditions to find the pulses most likely caused by directivity effects. Lists of both pulse-like ground motions and directivity ground motions are provided, along with the periods of the pulses and the orientations in which the pulses were strongest. Using the classification results, new models to predict the probability of a pulse and pulse period for a given future earthquake scenario are developed. Online Material: Table of all the pulse-like ground motions identified in the Next Generation Attenuation-West2 database, and HTML files of source-to-site geometry, the recorded time history, extracted pulse, and other directivity parameters for each identified pulse.
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
四季刻歌发布了新的文献求助10
12秒前
14秒前
27秒前
George发布了新的文献求助10
30秒前
JamesPei应助郭楠楠采纳,获得10
31秒前
艾路完成签到,获得积分10
38秒前
研友_ngqgY8完成签到,获得积分10
46秒前
JamesPei应助温暖的乐蓉采纳,获得10
50秒前
50秒前
郭楠楠发布了新的文献求助10
56秒前
57秒前
比格大王应助badyoungboy采纳,获得10
58秒前
江经纬完成签到,获得积分20
1分钟前
顾矜应助郭楠楠采纳,获得10
1分钟前
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
隐形不凡完成签到,获得积分10
1分钟前
温暖的乐蓉关注了科研通微信公众号
2分钟前
李桂芳完成签到,获得积分10
2分钟前
2分钟前
急诊守夜人完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
robin完成签到 ,获得积分10
2分钟前
万能图书馆应助HH采纳,获得10
2分钟前
吾日三省吾身完成签到 ,获得积分10
3分钟前
英姑应助风华正茂采纳,获得10
3分钟前
3分钟前
3分钟前
科研通AI2S应助科研通管家采纳,获得50
3分钟前
Criminology34应助科研通管家采纳,获得10
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5664330
求助须知:如何正确求助?哪些是违规求助? 4860894
关于积分的说明 15107549
捐赠科研通 4822849
什么是DOI,文献DOI怎么找? 2581773
邀请新用户注册赠送积分活动 1535993
关于科研通互助平台的介绍 1494287