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Theoretical study for fragment shape on desiccation crack patterns and its fracture process

Research Project

Project/Area Number 16K17779
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Biological physics/Chemical physics/Soft matter physics
Research InstitutionThe University of Tokyo

Principal Investigator

ITO Shin-ichi  東京大学, 地震研究所, 助教 (10756331)

Research Collaborator NAKAHARA Akio  
YUKAWA Satoshi  
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords乾燥亀裂 / 統計則 / 形状 / 確率過程 / フェーズフィールドモデル
Outline of Final Research Achievements

When drying paste such as clay, surface crack pattern can be observed. For this “desiccation crack pattern”, this project aims at uncovering relation between shape of fragments in the crack patterns and the elementary precess of fracture. This project is composed of following three subjects: (i) experiments of desiccation crack patterns using colloidal suspension, (ii) development of numerical simulation model that reproduces the desiccation crack patterns, and (iii) statistical modeling of fragmentation process in desiccation crack patterns. The results obtained by this project enabled us to quantify the shape of fragments in the crack patterns and the elementary precess of fracture and revealed the origin of the statistical law observed in experiments.

Academic Significance and Societal Importance of the Research Achievements

破壊を特徴づける量として破片の統計法則はしばしば計測されるが、それはその破壊がどのようなものだったかが、統計法則に現れる為である。既存研究では、破片のサイズに関する統計法則がよく調べられるが、実際の壊れ方は破片のサイズだけでなく、破片の形状にも依存する。しかしながら、破片形状と壊れ方を定量的に論じる研究は少なく、本研究は破片形状と壊れ方を定量化することで、破片形状の統計法則からその物質が受けた力や晒された環境の履歴情報を抽出・解明する方法論の創出のための基盤研究となる。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (11 results)

All 2019 2018 2017

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (10 results) (of which Int'l Joint Research: 6 results)

  • [Journal Article] Bayesian inference of grain growth prediction via multi-phase-field models2019

    • Author(s)
      Shin-ichi Ito, Hiromichi Nagao, Takashi Kurokawa, Tadashi Kasuya, and Junya Inoue
    • Journal Title

      Physical Review Materials

      Volume: 印刷中

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Presentation] Model Selection Based on Bayesian Inference that Uncovers Fundamental Dynamics of Desiccation Crack Patterns2019

    • Author(s)
      Shin-ichi Ito, Akio Nakahara, and Satoshi Yukawa
    • Organizer
      American Physical Society March meeting 2019
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Morphological properties of surface crack patterns due to volumetric shrinkage2018

    • Author(s)
      Shin-ichi Ito and Satoshi Yukawa
    • Organizer
      American Geophysical Union
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Desiccation crack patterns based on phase-field modeling and their statistical properties2018

    • Author(s)
      Shin-ichi Ito and Satoshi Yukawa
    • Organizer
      The 9th International Conference on Multiscale Materials Modeling (MMM2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 大規模データ同化に基づく鉄鋼材料組織予測と計測デザイン2018

    • Author(s)
      伊藤伸一, 長尾大道, 糟谷正, 井上純哉
    • Organizer
      統計関連学会連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Grain Growth Prediction Based on Data Assimilation by Implementing 4DVar on Phase-Field Models2018

    • Author(s)
      Shin-ichi Ito, Hiromichi Nagao, Takashi Kasuya, and Junya Inoue
    • Organizer
      Asia Oceania Geosciences Society
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Grain Growth Prediction Based on Data Assimilation by Implementing 4DVar on Phase-Field Models2018

    • Author(s)
      Shin-ichi Ito, Hiromichi Nagao, Takashi Kasuya, and Junya Inoue
    • Organizer
      Japan Geoscience Union
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] フェーズフィールド法に基づく乾燥亀裂シミュレーションとその統計的性質2018

    • Author(s)
      伊藤伸一, 湯川諭
    • Organizer
      日本物理学会
    • Related Report
      2017 Research-status Report
  • [Presentation] Statistical Modeling for Desiccation Cracking Based on Shape-Dependent Fragmentation Process2018

    • Author(s)
      Shin-ichi Ito, Satoshi Yukawa
    • Organizer
      American Physical Society March meeting 2018
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 乾燥収縮破壊の破片形状依存性と統計的モデリング2017

    • Author(s)
      伊藤伸一, 湯川諭
    • Organizer
      日本物理学会
    • Related Report
      2017 Research-status Report
  • [Presentation] 乾燥収縮破壊の破片形状依存性と統計的モデリング2017

    • Author(s)
      伊藤伸一, 湯川諭
    • Organizer
      統計関連学会連合大会
    • Related Report
      2017 Research-status Report

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Published: 2016-04-21   Modified: 2020-03-30  

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