数字模拟和ANN预测腐蚀缺陷中的裂问题
Meng Ren1, Yanmei Zhang2, Mu Fan1
1State Key Laboratory of Mechanics and Control for Aerospace Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210010, China.
Materials (Basel, Switzerland)
|July 13, 2024
概括
本研究分析了使用扩展有限元素方法和GA-BPNN模型在地震负荷下埋藏的管道断裂. 结果显示,腐蚀深度显著影响裂尖应力场,最大预测误差为5.32%.
科学领域:
- 土木工程 土木工程是指土木工程.
- 机械工程 机械工程
- 材料科学 材料科学 材料科学
背景情况:
- 埋下的管道是关键基础设施,容易受到腐蚀和内部压力造成的断裂.
- 现有的研究往往侧重于故障压力或残余强度,需要在地震负载下进行进一步分析.
研究的目的:
- 在地震负荷下进行腐蚀缺陷的埋藏管道的断裂分析.
- 开发和验证腐蚀管道中裂尖应力场的预测模型.
主要方法:
- 利用扩展有限元法 (XFEM) 在地震条件下建模埋藏管道.
- 开发了一种反向传播 (BP) 神经网络算法,用于预测管道裂尖端的应力场.
- 使用遗传算法 (GA) 优化神经网络以提高准确性和收性 (GA-BPNN).
主要成果:
- 裂纹尖端的最大应力发生在腐蚀区域的5°周边角附近.
- 英国石油的神经网络的预测误差低于10%.
- 优化的GA-BPNN模型表现出最大误差为5.32%和卓越的适应性.
结论:
- 腐蚀深度显著影响裂纹尖端应力场,特别是在增加内部压力时.
- 该GA-BPNN模型为埋藏管道断裂分析提供了准确和可适应的预测.
- 这项研究增强了对在内部压力和地震负荷组合下埋藏管道完整性的理解.
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