生物模拟机械坚固的水泥-树脂复合材料与机器学习辅助的梯度等级结构
Zhangyu Wu1, Hao Pan2, Peng Huang1
1Jiangsu Key Laboratory of Construction Materials, School of Materials Science and Engineering, Southeast University, Nanjing, 211189, China.
Advanced materials (Deerfield Beach, Fla.)
|July 8, 2024
概括
研究人员使用渐变的泥结构开发了一种仿生像水泥树脂复合材料. 这种先进的复合材料表现出异常的强度,性和抗冲击性,性能优于天然岩石和一些合金.
科学领域:
- 材料科学 材料科学 材料科学
- 生物模拟学是一种生物模拟学.
- 复合材料 复合材料 复合材料
背景情况:
- 层次上有序的生物材料激发了具有卓越机械性能的先进复合材料.
- 高效的拓优化和这种复合材料的大规模制造仍然是重大挑战.
研究的目的:
- 开发一种可扩展的自下而上的方法,用于制造具有梯度和砂 (BM) 结构的状水泥树脂复合材料.
- 使用机器学习辅助的方法来优化梯度结构.
- 评估开发的复合材料的机械性能和强化/硬化机制.
主要方法:
- 使用可扩展的自下而上的方法制造一种新型的状水泥树脂复合材料.
- 实施一种机器学习辅助的方法来优化梯度结构.
- 机械性能的表征,包括屈曲强度,性和抗冲击性.
- 加强和加强机制的分析.
主要成果:
- 制造的梯度复合材料表现出高曲强度,性和抗冲击能力的非凡组合.
- 性和抗冲击性超过水泥同行约700和600倍,分别.
- 性能超过天然岩石,纤维增强水泥基材料和一些合金.
- 强化和硬化归因于区域矩阵的密集和裂纹尖端屏蔽效应.
结论:
- 开发的梯度复合材料为恶劣环境中的保护应用提供了一个有前途的结构材料.
- 这项研究为设计具有增强机械性能的仿生元材料提供了一条新的途径.
- 这些发现突出了大自然启发的梯度结构在先进材料设计中的潜力.
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