复合材料故障模型的代实验设计和识别分析
Ádám Ipkovich1, Alex Kummer1, László Kovács2
1ELKH-PE Complex Systems Monitoring Research Group, University of Pannonia, Egyetem u. 10, H-8200 Veszprém, Hungary.
Heliyon
|May 2, 2024
概括
本研究介绍了一种代设计实验 (DoE) 方法,以有效地识别复合材料故障模型参数. 这种方法减少了必要的实验,提高了准确性和材料测试效率.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
背景情况:
- 复合层故障模型的参数识别 (例如,Tsai-Wu,Puck) 是复杂的,因为易碎的断裂效应.
- 现有的方法可能需要大量的实验数据,增加成本和时间.
- 准确的故障模型对于预测复合材料性能和安全至关重要.
研究的目的:
- 开发一种高效,代的实验设计 (DoE) 方法来识别复合故障模型参数.
- 为了尽量减少准确的参数识别所需的实验数量.
- 根据实验数据验证和排名不同的复合式故障标准.
主要方法:
- 采用了一种代的,非线性实验设计 (DoE).
- 对多个故障模型 (Tsai-Wu,Tsai-Hill,Hoffman,Hashin,最大应力,Puck) 进行了参数识别.
- 验证包括评估测量点和模型表面之间的欧几里德距离,然后进行灵敏度分析和代实验选择.
主要成果:
- 提出的DoE方法成功地从生成的数据中确定了参数识别的最佳实验.
- 当数据集中存在足够的信息时,该方法证明了稳定性和准确性.
- 灵敏度分析指导了实验的选择,使参数识别能够使用最小的数据.
结论:
- 代的DoE方法显著减少了复合材料故障模型参数识别所需的实验数量.
- 该方法为选择最有信息的测试提供了一个强大的框架,甚至在数据不足时建议进行新的测试.
- 这项工作提高了在各种负载条件下描述复合材料行为的效率和准确性.
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