摘要
由于导波的结构损伤识别与定位研究存在着样本数据严重不足的问题,需通过数值仿真产生大量虚拟数据样本。为了提高有限元建模和数据提取的效率,基于Python语言的ABAQUS二次开发功能,完成金属结构损伤导波监测参数化建模工具的开发,实现有限元模型前后处理的自动化。利用该工具研究裂纹长度对Lamb波信号特征的影响,并与现有结论进行比较,验证了参数化建模工具的可靠性。
Due to serious deficiency of sample data in the study of structural damage identification and location,a large number of virtual data samples need to be abtained through numerical simulation.In order to improve the efficiency of finite element modeling and data extraction,the parameterized modeling tool for guided wave monitoring of metal structure damage is developed based on the ABAQUS secondary opening function of Python languag.The tooll is used to study the influence of crack length on the characteristics of Lamb wave signals,and its reliability is verified by comparing with the existing conclusions.
作者
常康康
周储伟
杨宇
王莉
CHANG Kangkang;ZHOU Chuwei;YANG Yu;WANG Li(State Key Laboratory of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Structural Injury Monitoring Technology Laboratory,Aircraft Strength Research Institute of China,Xi'an 710065,China)
出处
《机械制造与自动化》
2024年第5期163-166,共4页
Machine Building & Automation
关键词
数值仿真
导波监测
PYTHON
参数化建模
numerical simulation
guided wave monitoring
Python
parametric modeling
