2023 Fiscal Year Final Research Report
Performance design based on stochastic process simulation of multiscale internal structure in concrete
| Project/Area Number |
21K04211
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 22010:Civil engineering material, execution and construction management-related
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| Research Institution | Kanazawa University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | 気泡 / 点過程 / 気泡間隔 / 保護距離 / ディリクレ分割 / シミュレーション / ステレオロジー / 画像解析 |
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| Outline of Final Research Achievements |
Concrete is a material consisting of a random mixture of particles whose sizes range widely at multiple scales. The spatial distribution of these particles was quantitatively evaluated using probability measures, and their spatial distribution was modeled as the planar point process. Based on the model, we proposed a method to simulate the air void distribution in advance and showed that the mixture design of concrete could be executed in terms of particle packing at various scales. In particular, the evaluation of air voids in concrete was intensively investigated since their spatial distance was crucial in determining the freeze-thaw durability of concrete. The important parameters had a mathematical background, and their validity was confirmed by simulating random point patterns in concrete. It was found that the volume, spacing, and protection range of air voids could be evaluated using the point intensity, the nearest neighbor distance, and the Dirichlet tile, respectively.
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| Free Research Field |
土木材料学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の中心課題である気泡の評価には，現在でも70年前に提案された方法を用いており，しかもその方法では実際の分布を評価していない．しかし，本研究の提案法は，実際のランダム分布をそのまま確率過程として評価しできる．また，信頼できるフリーソフトウェアが提供されているので自己開発は不要で，計測および解析に要する時間は著しく短縮化される．また厳密な数学理論の裏付けを持ちながらも，それを意識することなく実施できるので，一般技術者でも容易に導入，実施できる．カーボンニュートラルの実現に向けて多様なコンクリートの開発が進められているが，それらの配合設計を粒子充填の観点から行うことを可能とする評価法である．
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