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2022 年度 実績報告書

Largescale numerical investigation on the potential of MTL to produce supershear earthquakes

研究課題

研究課題/領域番号 22H01573
配分区分補助金
研究機関東京大学

研究代表者

Maddegedar a.L.  東京大学, 地震研究所, 准教授 (20426290)

研究分担者 加藤 愛太郎  東京大学, 地震研究所, 教授 (20359201)
研究期間 (年度) 2022-04-01 – 2026-03-31
キーワードoff-fault damage zone / visco-plasticity / rupture speed / super-shear / sub-Rayleigh
研究実績の概要

As planned, we implemented visco plastic model to simulate off-fault damage zone and thereby control the rupture speeds. We derived analytical solutions to reduce the high computational cost associated with plastic models. We verified the implemented models by comparing with the standard engineering benchmarks. The developed numerical schemes were implemented in HPC enhanced environment to simulate large scale models. We simulated both super shear and sub-Rayleigh events on the Palu Koro fault and demonstrated that the visco plastic model reduces the rupture speed closer to the rupture speed observed at the 2018 super shear event of the Palu Koro fault. This is an important step in the model development since it enables to reproduce rupture speeds closer to the observed in nature.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

The main objective of FY 2022 was to simulate off-fault damage zone and improve computational efficiency. We successfully implemented necessary plastic models in HPC-enhanced code and verified. By simulating a model of Palu-Koro fault consisting of 5.6 billion elements and 1 billion nodes, we successfully demonstrated that the developed model can reduce the rupture speeds closer to the field observations and the developed numerical code is capable of simulating large scale models. Further, we made a significant progress in reducing computation cost involved in numerical integration, which will contribute to reduce computational time in our future simulations. The completion of all these major items planned for FY2022 made us conclude that the research progressed well.

今後の研究の推進方策

We plan to verify the developed rupture simulator comparing with available benchmark models, and simulate the 2018 super-shear event of Palu-Koro fault as a qualitative validation. Further, we plan to collect data from J-SHIS and other institutions to build an accurate geometric model of 200km long stretch of the Median Tectonic Line. Mesh around the fault will be refined such that fault geometry will be accurately represented and rupture process accurately simulated. The rest of the domain will be refined such that seismic wave propagation is accurately captured up to 8Hz; the refined model is expected to consist of 5~8 billion elements. We will continue improving the code to best utilize the Univ. of Tokyo's supercomputer for conducting large-scale simulations.

  • 研究成果

    (4件)

すべて 2022

すべて 雑誌論文 (2件) (うち国際共著 2件、 オープンアクセス 2件) 学会発表 (2件) (うち国際学会 2件)

  • [雑誌論文] Formulation of a Novel Implicit Stress Integration Algorithm based on Plastic Consistency Parameter and its Verification Using von Mises Plasticity2022

    • 著者名/発表者名
      Migel Arachchillage Kasun Madusanka Dharmasiri, Maddegedara Lalith, Kohei Fujita, Tsuyoshi Ichimura, Muneo Hori
    • 雑誌名

      Proceedings of the 13th International Conference on Computational Methods

      巻: 9 ページ: 186 203

    • オープンアクセス / 国際共著
  • [雑誌論文] Application of PDS-FEM to simulate high-power LASER induced cracking2022

    • 著者名/発表者名
      Maddegedara Lalith, Muhammad Naveed Akram, Mahendra Kumar Pal, Elia Nicolin, Yosuke Kawahito, Toshihiro Kameda and Muneo Hori
    • 雑誌名

      Proceedings of the 13th International Conference on Computational Methods

      巻: 9 ページ: 172 185

    • オープンアクセス / 国際共著
  • [学会発表] Formulation of a Novel Implicit Stress Integration Algorithm based on Plastic Consistency Parameter and its Verification Using von Mises Plasticity2022

    • 著者名/発表者名
      Migel Arachchillage Kasun Madusanka Dharmasiri
    • 学会等名
      13th International Conference on Computational Methods
    • 国際学会
  • [学会発表] Application of PDS-FEM to simulate high-power LASER induced cracking2022

    • 著者名/発表者名
      Maddegedara Lalith
    • 学会等名
      13th International Conference on Computational Methods
    • 国際学会

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公開日: 2023-12-25  

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