材料裂变和故障模拟数据集的数据集
Ryley G Hill1, Kai Gao2, Aleksandra Pachalieva2
1National Security Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. rghill@lanl.gov.
Scientific data
|December 13, 2025
概括
这项研究介绍了五种材料中模拟裂变演变的大量数据集,这些数据集是使用相场和有限离散元素方法生成的. 这些数据支持开发用于预测材料故障的机器学习模型.
科学领域:
- 物理 物理学 物理
- 材料科学 材料科学 材料科学
- 计算力学 计算力学 计算力学
背景情况:
- 断裂现象在基础设施,航空航天和地球物理学等各个领域都至关重要.
- 预测材料故障需要强大的模拟数据.
- 现有的模拟方法在真实性和效率上有所不同.
研究的目的:
- 提供模拟断裂演变和材料故障的综合数据集.
- 支持用于故障预测的机器学习模型的开发.
- 为未来的计算断裂力学研究提供基础.
主要方法:
- 使用两个不同的数值解法器生成的断裂数据:相场和有限离散元素方法 (FDEM).
- 模拟了五种材料:PBX,异性质页岩,,和钢.
- 在各种负载条件下 (无轴和双轴张力) 进行了广泛的模拟,随机初始骨折.
主要成果:
- 创建了一个包含49万个模拟案例的多样化数据集.
- 捕获每个模拟的时间断裂传播动态.
- 数据集包括关于不同材料特性和应力状态下的断裂演变的详细信息.
结论:
- 本文所介绍的数据集是推进计算材料故障分析的宝贵资源.
- 它可以开发和验证用于预测断裂的机器学习方法.
- 促进未来的基础物理学研究和断裂力学的工程应用.
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