Parametric uncertainty propagation of kinematic source models in ground motions at near-fault mountain-valley areas

Author:

Meng Si-bo1,Li Wen-xuan1,Liu Zhong-xian1,Liu Ying2

Affiliation:

1. Tianjin Chengjian University

2. Nanjing University of Technology

Abstract

Abstract The source uncertainty causes spatial variability of ground motions in mountain-valley sites near the fault. This study aims to analyze how the uncertainty propagation in the source model affects the near-fault and local site effect when there is a mountain-valley site in the near-fault area. This study considers the uncertainty of the asperity intensity and rupture velocity by random variables, and considers the randomness of the position of the asperity and the initial rupture point by setting three rupture scenarios. The impact of the local site on the variability of ground motions is compared, and the correlation between the variability of ground motion and the fault distance and dip angle is discussed. To solve multi-dimensional uncertainty problems, the multiplicative dimensional reduction method (M-DRM) with high accuracy and efficiency is employed, and the physical process of fault rupture to site response is simulated by the indirect boundary element method (IBEM). The results indicate that M-DRM is applicable to solving ground motions in near-fault complex sites with uncertain parameters. The uncertainty is transmitted with the propagation of seismic waves, and the scattering of seismic waves in mountain-valley sites amplifies this uncertainty. The local site effect increases the frequency band ranges and peak values of velocity pulses, and the uncertainty only affects the values of the velocity pulses. Considering the mean plus once the variance caused by the uncertainty, the maximum value of vertical velocity pulse can be increased by 34%. The variability of ground motion parameters decreases with the increase of fault distance and dip angle. It is necessary to quantify the uncertainty of the sources in ground motion simulation based on physical models.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3