Modeling response spectrum compatible pulse-like ground motion

反应谱 三角级数 脉搏(音乐) 加速度 振幅 地震动 数学 声学 计算机科学 算法 数学分析 物理 工程类 电信 光学 结构工程 经典力学 探测器
作者
Guan Chen,Michael Beer,Yong Liu
出处
期刊:Mechanical Systems and Signal Processing [Elsevier]
卷期号:177: 109177-109177 被引量:13
标识
DOI:10.1016/j.ymssp.2022.109177
摘要

The seismic response analysis of near-fault pulse-like ground motions is severely restricted due to the scarcity of pulse-like records. The requirement in regulations that the response spectra of artificial ground motions should be compatible with the target response spectrum makes the relevant studies more difficult. As a result, this study proposes a trigonometric series-based stochastic method to simulate pulse-like ground motions, with the advantage that the corresponding pseudo-spectral acceleration is compatible with the given target response spectrum. This goal is achieved by two parts. (1) The envelope function of pulse-like records obtained by the Hilbert transform is utilized as the amplitude modulation function to ensure that the simulated ground motion contains a pulse. (2) A novel iteration scheme based on random frequency parameters is proposed to guarantee the response spectrum compatibility. The velocity ground motion is first simulated since the pulse usually exists in velocity. The ground-motion acceleration subsequently obtained by differentiating the velocity is adopted to calculate the response spectrum. Two cases are implemented and verified the effectiveness of the proposed method in enriching existing pulse-like databases and generating pulse-like ground motion in areas that lack records. Moreover, the amplitude modulation function and target spectrum, as two key factors in the proposed method, determines the presence of a pulse and the pulse periods, respectively. This property makes the proposed method potentially universal applicability for stochastic pulse-like ground motion simulation in engineering.
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
大吴克发布了新的文献求助10
刚刚
饱满的煎饼完成签到,获得积分10
刚刚
dzdzn3关注了科研通微信公众号
刚刚
KING完成签到,获得积分10
1秒前
seventonight2完成签到,获得积分10
1秒前
顾矜应助xwc采纳,获得10
1秒前
Relax发布了新的文献求助10
1秒前
微笑的语梦完成签到 ,获得积分10
2秒前
落寞的紫山完成签到,获得积分10
2秒前
杨大大发布了新的文献求助10
2秒前
BOSSJING完成签到,获得积分10
2秒前
Jasper应助搞怪的人龙采纳,获得10
3秒前
3秒前
benj完成签到,获得积分10
3秒前
3秒前
zoko发布了新的文献求助10
3秒前
周老八发布了新的文献求助10
3秒前
3秒前
小杨爱吃羊完成签到 ,获得积分10
3秒前
lszhw完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
4秒前
美好乌龟完成签到 ,获得积分10
4秒前
4秒前
烟雨行舟完成签到,获得积分10
5秒前
5秒前
5秒前
搜集达人应助刘星星采纳,获得30
6秒前
赘婿应助顺利水杯采纳,获得10
6秒前
6秒前
明亮的溪灵完成签到,获得积分10
6秒前
7秒前
7秒前
充电宝应助01259采纳,获得10
7秒前
天真的莺完成签到,获得积分10
8秒前
想要赚大钱完成签到,获得积分10
8秒前
大模型应助徐慕源采纳,获得10
8秒前
格格星发布了新的文献求助10
10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 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740