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通过相场梯度元件与多忠度神经网络相结合,计算铜功能等级材料上的裂阻断孔的残余强度的方法
Bowen Liu1, Yisheng Yang1, Guishan Wang1
1China Aerodynamics Research and Development Center, Manyang 621000, China.
Materials (Basel, Switzerland)
|May 14, 2025
概括
这项研究引入了一种新的计算方法,用于在钻探后评估铜等级材料的强度. 先进的框架提高了残余强度预测准确性,用于损伤耐受性评估.
科学领域:
- 材料科学 材料科学 材料科学
- 计算力学 计算力学 计算力学
- 固体力学 固体力学是什么
背景情况:
- 功能分级材料 (FGMs) 呈现出空间变化的特性,这对传统分析构成了挑战.
- 准确预测损坏后的残余强度,例如从孔中启动裂,对于结构完整性至关重要.
- 现有的计算方法经常与裂演变和材料梯度的复杂性作斗争.
研究的目的:
- 开发一种新的计算框架,用于评估铜FGM在破裂阻断孔钻后的残余强度.
- 纳入先进的数值技术,以提高损坏耐受性评估的准确性和效率.
- 解决当前模型在处理张力-压缩不对称性和特征长度依赖性方面的局限性.
主要方法:
- 发展相场同参度梯度元素,以在有限元素刚度矩阵中表示材料梯度.
- 整合Amor和Miehe弹性能量分解方案,以建模张力压缩不对称裂演变.
- 实施多忠度神经网络策略与梯度相场元素相结合,以减少对特征长度的依赖.
- 对梯度有限元素与应力和损伤场过渡的传统同质元素进行比较分析.
主要成果:
- 与同质元素相比,梯度有限元素在接口上表现出更顺的场过渡.
- 迈赫分解方案在预测复杂裂路径方面表现优于阿莫尔模型.
- 拟议的计算框架在与平均应变能量标准相验证时,可提高剩余强度预测准确度39.07%至44.05%.
- 使用梯度有限元素方法观察到更顺的应力和损伤场过渡.
结论:
- 开发的计算框架为FGM的伤害耐受性评估提供了一个强大的数值工具.
- 梯度元素和神经网络的集成有效地减轻了在残余强度预测中的特征长度依赖.
- 这项研究强调了Miehe分解方案在FGM中准确的裂纹轨迹建模方面的有效性.
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