| 研究課題/領域番号 |
23K13556
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分26030:複合材料および界面関連
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| 研究機関 | 東京大学 |
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研究代表者 |
WAN YI 東京大学, 大学院工学系研究科(工学部), 講師 (90816844)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2025年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
2024年度: 1,820千円 (直接経費: 1,400千円、間接経費: 420千円)
2023年度: 2,340千円 (直接経費: 1,800千円、間接経費: 540千円)
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| キーワード | high-performance CFRP / internal geometry / mechanical property / failure criteria |
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| 研究開始時の研究の概要 |
The stochasticity and variations in the mechanical properties of HDFC are unpredictable using the current failure criteria, which is the most urgent problem that needs to be solved to extend its application potential.
In this research proposal, novel failure criteria based on the complexity of the internal morphology of HDFC will be established. The potential and accelerate the social implementation of HDFC will be extended in both the view of material research and industrial applications of composite materials.
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| 研究実績の概要 |
Over the past year, research on HDFC has been conducted from two primary perspectives.
The first aspect involves detailed observations of internal geometry during fracture and failure under loading conditions. An advanced in-situ X-ray micro-CT facility was utilized to acquire the internal geometries under various loading conditions until the initial fracture occurred. Additionally, a specially developed digital volume correlation method was employed to analyze the 3D strain distribution and its correlation with the loading conditions and microcrack generation.
The second aspect focuses on modeling the stochastic features of HDFC, particularly concerning sheet molding compounds. The stochastic properties are characterized by sheets randomly generated using the Monte Carlo method.
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| 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
Good results have been collected from the current experiments. The correlation between the internal geometry, strain distribution, and fracture initiation has been studied to aid in developing precise modeling methods for failure prediction.
Additionally, stochastic modeling has been conducted, and an extension of the model from elastic characterization to failure and dynamic features is currently underway.
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| 今後の研究の推進方策 |
In the next phase, extended in-situ X-ray micro-CT experiments with different HDFC samples will be conducted to assess the reliability of the data for modeling purposes. Given that only a few institutions worldwide have the capability to perform these experiments, it is crucial to establish the experimental plan promptly.
Furthermore, the data obtained from the in-situ X-ray micro-CT experiments and digital volume correlation analysis will be integrated into the stochastic model to verify its applicability.
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