结合有限元分析和实验室分析在3D模型上的方法方法校准方法
Sara Gonizzi Barsanti1, Rosa De Finis2, Riccardo Nobile2
1Department of Engineering, University of Campania Luigi Vanvitelli, 81100 Caserta, Italy.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究集成了非破坏性评估 (NDE) 传感器,用于增强机械行为预测. 它开发了用于改进疲劳和骨折分析的回形模型,使得早期损伤检测成为可能.
科学领域:
- 材料科学与工程 材料科学与工程
- 机械工程 机械工程
- 计算力学 计算力学 计算力学
背景情况:
- 精确预测机械行为,材料损坏和疲劳裂的启动/传播对于工程应用至关重要.
- 需要现代工具来模拟场景,优化决策,并整合多种数据源以提高预测能力.
- 对材料退化的早期预警系统可以改善损害控制策略和经济可持续性.
研究的目的:
- 介绍一个多传感器系统的校准和集成,用于创建体积模型.
- 开发用于有限元分析 (FEA) 软件的回归类型模型.
- 为了提高材料故障,疲劳和裂传播的预测.
主要方法:
- 整合摄影计,激光扫描和张力计以获取数据.
- 循环负荷应用于带有张力计的汽车悬挂部件.
- 使用摄影计和实验性应变量表测量对多传感器系统进行校准.
主要成果:
- 成功校准了用于生成体积模型的组合传感器系统.
- 使用FEA软件预测故障的方法论的演示.
- 获取实验应变仪数据,以测量循环负荷下部件变形.
结论:
- 基于NDE的协议的协同实施为机械和疲劳行为提供了早期预警结果.
- 开发的回复学模型与FEA相结合,可以改善对物质损坏和裂传播的预测.
- 这种方法提高了对经济上可持续的损害控制场景的准备.
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