纤维增强聚合物管道的先进非破坏性测试模拟和建模方法:一篇评论
Jan Lean Tai1, Mohamed Thariq Hameed Sultan1,2,3, Andrzej Łukaszewicz4
1Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Materials (Basel, Switzerland)
|June 13, 2025
概括
先进的数字非破坏性测试 (NDT) 方法,包括机器学习,增强纤维增强聚合物 (FRP) 管道缺陷检测. 然而,这些复合管道的现场部署解决方案需要进一步开发和验证.
科学领域:
- 材料科学 材料科学 材料科学
- 工程 工程师 工程师 工程师
- 非破坏性测试 不破坏性测试
背景情况:
- 纤维增强聚合物 (FRP) 管道比金属管道具有优势,但其复杂性挑战了传统的非破坏性测试 (NDT).
- 钢管的异型和异质性质使缺陷的检测和表征变得复杂,需要先进的检查技术.
研究的目的:
- 系统地审查复合材料数字无核技术的最新进展,重点关注FRP管道.
- 突出数字建模,机器学习 (ML) 和深度学习 (DL) 在改善FRP管道缺陷检测和预测性维护方面的作用.
主要方法:
- 对140篇同行评审文章 (2016-2024) 的系统文献综述.
- 分析数字技术 (FEM,蒙特卡洛模拟) 用于虚拟缺陷建模和参数优化.
- 评估ML和DL算法用于自动缺陷分类,细分和严重性评估.
主要成果:
- 数字NDT方法显著提高了缺陷检测的灵敏度,并自动化了复合材料的数据解释.
- 数字建模提高了检查可靠性,而ML/DL减少了检查时间和人力依赖.
- 在将先进的数字NDT方法转化为FRP管道系统的现场部署解决方案方面存在关键差距.
结论:
- 先进的数字NDT显示了FRP管道检查的重大前景,提供了更高的准确性和效率.
- 需要专门的研究来开发验证的数字模型,特定应用程序的数据集和针对FRP管道的行业一致的协议.
- 弥合数字NDT进步和实际FRP管道检查之间的差距对于生命周期管理至关重要.
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