近断层脉冲型随机地震动作用下沥青混凝土心墙坝随机动力响应分析

IF 4.6 2区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Zongkai Wang, Zhiqiang Song, Chuang Li, Yunhe Liu
{"title":"近断层脉冲型随机地震动作用下沥青混凝土心墙坝随机动力响应分析","authors":"Zongkai Wang,&nbsp;Zhiqiang Song,&nbsp;Chuang Li,&nbsp;Yunhe Liu","doi":"10.1016/j.soildyn.2025.109703","DOIUrl":null,"url":null,"abstract":"<div><div>Asphalt–concrete core rockfill dams (ACCRDs) are evolving to meet the demands of larger scales, more complex geological settings, and higher seismic performance requirements, especially in near-fault regions where seismic responses become more complex due to the pulse characteristics of ground motions. Thus, investigating the seismic response of ACCRDs under near-fault pulse-type ground motions is of significant practical importance. This study uses actual near-fault ground motion records and employs a random forest algorithm to establish a regression relationship between pulse parameters and seismological parameters. A method combining high- and low-frequency components is proposed to generate near-fault pulse-type stochastic ground motions for different site conditions. Additionally, by integrating the number-theoretic point selection method with the direct probability integration method (DPIM), a stochastic dynamic response analysis approach for ACCRDs is developed. Using a real-world case study, stochastic dynamic calculations are conducted under near-fault pulse-type ground motions. The results show the probabilistic evolution of the principal tensile stress in the asphalt core and the maximum failure probabilities. This study highlights that response calculations based on a single ground motion are insufficient to reflect the actual seismic behavior of a dam. Therefore, considering the stochastic nature of ground motions is crucial in near-fault seismic response analysis.</div></div>","PeriodicalId":49502,"journal":{"name":"Soil Dynamics and Earthquake Engineering","volume":"199 ","pages":"Article 109703"},"PeriodicalIF":4.6000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the stochastic dynamic response of Asphalt–concrete core wall dams under near-fault pulse-type stochastic ground motions\",\"authors\":\"Zongkai Wang,&nbsp;Zhiqiang Song,&nbsp;Chuang Li,&nbsp;Yunhe Liu\",\"doi\":\"10.1016/j.soildyn.2025.109703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Asphalt–concrete core rockfill dams (ACCRDs) are evolving to meet the demands of larger scales, more complex geological settings, and higher seismic performance requirements, especially in near-fault regions where seismic responses become more complex due to the pulse characteristics of ground motions. Thus, investigating the seismic response of ACCRDs under near-fault pulse-type ground motions is of significant practical importance. This study uses actual near-fault ground motion records and employs a random forest algorithm to establish a regression relationship between pulse parameters and seismological parameters. A method combining high- and low-frequency components is proposed to generate near-fault pulse-type stochastic ground motions for different site conditions. Additionally, by integrating the number-theoretic point selection method with the direct probability integration method (DPIM), a stochastic dynamic response analysis approach for ACCRDs is developed. Using a real-world case study, stochastic dynamic calculations are conducted under near-fault pulse-type ground motions. The results show the probabilistic evolution of the principal tensile stress in the asphalt core and the maximum failure probabilities. This study highlights that response calculations based on a single ground motion are insufficient to reflect the actual seismic behavior of a dam. Therefore, considering the stochastic nature of ground motions is crucial in near-fault seismic response analysis.</div></div>\",\"PeriodicalId\":49502,\"journal\":{\"name\":\"Soil Dynamics and Earthquake Engineering\",\"volume\":\"199 \",\"pages\":\"Article 109703\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil Dynamics and Earthquake Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0267726125004968\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil Dynamics and Earthquake Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0267726125004968","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0

摘要

沥青混凝土堆石坝(ACCRDs)正在不断发展,以满足更大规模、更复杂的地质环境和更高的抗震性能要求,特别是在近断层地区,由于地面运动的脉冲特征,地震反应变得更加复杂。因此,研究近断层脉冲型地震动作用下acrds的地震响应具有重要的实际意义。本研究利用实际近断层地震动记录,采用随机森林算法建立脉冲参数与地震参数之间的回归关系。提出了一种高低频分量相结合的方法来产生不同场地条件下的近断层脉冲型随机地震动。此外,将数论点法与直接概率积分法相结合,提出了一种ACCRDs随机动力响应分析方法。利用实际案例研究,在近断层脉冲型地震动下进行了随机动力学计算。结果显示了沥青芯内主拉应力的概率演化规律和最大破坏概率。这项研究强调,基于单一地面运动的响应计算不足以反映大坝的实际地震行为。因此,在近断层地震反应分析中,考虑地震动的随机性是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the stochastic dynamic response of Asphalt–concrete core wall dams under near-fault pulse-type stochastic ground motions
Asphalt–concrete core rockfill dams (ACCRDs) are evolving to meet the demands of larger scales, more complex geological settings, and higher seismic performance requirements, especially in near-fault regions where seismic responses become more complex due to the pulse characteristics of ground motions. Thus, investigating the seismic response of ACCRDs under near-fault pulse-type ground motions is of significant practical importance. This study uses actual near-fault ground motion records and employs a random forest algorithm to establish a regression relationship between pulse parameters and seismological parameters. A method combining high- and low-frequency components is proposed to generate near-fault pulse-type stochastic ground motions for different site conditions. Additionally, by integrating the number-theoretic point selection method with the direct probability integration method (DPIM), a stochastic dynamic response analysis approach for ACCRDs is developed. Using a real-world case study, stochastic dynamic calculations are conducted under near-fault pulse-type ground motions. The results show the probabilistic evolution of the principal tensile stress in the asphalt core and the maximum failure probabilities. This study highlights that response calculations based on a single ground motion are insufficient to reflect the actual seismic behavior of a dam. Therefore, considering the stochastic nature of ground motions is crucial in near-fault seismic response analysis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Soil Dynamics and Earthquake Engineering
Soil Dynamics and Earthquake Engineering 工程技术-地球科学综合
CiteScore
7.50
自引率
15.00%
发文量
446
审稿时长
8 months
期刊介绍: The journal aims to encourage and enhance the role of mechanics and other disciplines as they relate to earthquake engineering by providing opportunities for the publication of the work of applied mathematicians, engineers and other applied scientists involved in solving problems closely related to the field of earthquake engineering and geotechnical earthquake engineering. Emphasis is placed on new concepts and techniques, but case histories will also be published if they enhance the presentation and understanding of new technical concepts.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信