An offline based on-demand visualization system of large-scale particle simulation for tsunami disaster prevention

Masaharu Isshiki, Mitsuteru Asai, Shimon Eguchi, Yoshiya Miyagawa

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

After the Great East Japan Earthquake Tsunami, new Tsunami disaster-prevention and mitigation methods for the next millennium Tsunami are actively being discussed. Consequently, the methods have highlighted the importance of both hard disaster-prevention method, which means direct prevention using infrastructure such as breakwater, and soft disaster-prevention method, including disaster-prevention education. In this paper, a visualization and polygonization system that can be effectively utilized for Tsunami disaster-prevention is proposed for large-scale particle simulation. The system includes two important features, such as engineering-purposed visualization and polygonization for hard and soft tsunami disaster-prevention methods, respectively. Moreover, the system can handle the large-scale particle-simulation data that is computed by a high-performance computer via an offline on-demand tool without data transfer.

Original languageEnglish
Pages (from-to)1422-1428
Number of pages7
JournalIEEJ Transactions on Electronics, Information and Systems
Volume137
Issue number10
DOIs
Publication statusPublished - Jan 1 2017

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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