Development Of Large-Scale Three-Dimensional Seismic Ground Strain Response Analysis Method and Its Application to Tokyo using Full K Computer

Author:

Fujita Kohei1,Ichimura Tsuyoshi23

Affiliation:

1. RIKEN Advanced Institute for Computational Science, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan

2. Earthquake Research Institute, University of Tokyo, Yayoi 1-1-1, Bunkyo, Tokyo 113-0032, Japan

3. Department of Civil Engineering, University of Tokyo, Yayoi 1-1-1, Bunkyo, Tokyo 113-0032, Japan

Abstract

We developed a large-scale three-dimensional ground analysis method aimed at improving the estimation of dynamic ground strain during earthquakes. Using the developed ground modeling and analysis method, a 40 billion degrees-of-freedom unstructured finite element ground model of a 3.25[Formula: see text]km × 3.25[Formula: see text]km area of Tokyo was generated with 0.66[Formula: see text]m sized elements, and its strain time history for ground motion of the 1995 Kobe wave was computed using the full K computer system with 82,944 compute nodes. The obtained strain response showed a complex distribution reflecting the input wave characteristics, surface topography, and underlying ground structure. We also showed the seismic response of 41,675 buildings in the target area computed using the wave at surface as an input. Such a method is expected to be useful for the improvement of seismic design and mitigation of pipelines against anticipated earthquakes.

Publisher

World Scientific Pub Co Pte Lt

Subject

Geophysics,Geotechnical Engineering and Engineering Geology,Oceanography

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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