管状材料的机械性质的表征,基于在轴向料力下进行的液压膨胀试验
Bin Zhang1,2, Benny Endelt1, Karl Brian Nielsen3,4
1Department of Materials and Production, Aalborg University, Aalborg 9220, Denmark.
Fundamental research
|December 11, 2024
概括
这项研究使用了液压膨胀试验来发现合金的机械性能. 一个智能反向框架准确地识别了材料参数,超过了大型菌株特征的传统方法.
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:
- 在工程应用中,对合金如EN AW 5049-O和6060-O的机械性能进行表征至关重要.
- 确定材料构成参数的传统方法可能是有限的,特别是在大的应变范围.
- 液压膨胀测试为评估复杂应力状态下的管状材料行为提供了一种潜在的方法.
研究的目的:
- 用T形管液压凸起试验来描述EN AW 5049-O和6060-O合金的机械性能.
- 开发和验证智能反向识别框架,以准确确定材料参数.
- 将反向框架的有效性与理论分析和单轴拉伸试验进行比较.
主要方法:
- 在轴向料力下进行了T形管液压膨胀试验,记录了冲击位移,T分支高度和轴向压力.
- 开发了一个智能反向识别框架,集成有限元素方法 (FEM) 和数值优化算法.
- 模拟结果以代方式与实验数据相匹配,以确定材料构成参数.
主要成果:
- 反向识别框架成功确定了合金的组成参数.
- 通过反向策略获得的材料参数在数值预测和实验数据之间产生了最小的差异.
- 根据理论分析,单轴拉伸试验和反向方法的参数,对膨胀高度和冲击力的预测有显著差异.
结论:
- 液压膨胀试验是有效的特征应力-应变行为管状材料在大的应变水平.
- 与经典分析模型相比,开发的自动反向框架为识别材料构成参数提供了更准确的后处理方法.
- 反向建模技术在预测实验结果方面表现出卓越的准确性.
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