基于柔度矩阵对角元素变化的起重机主梁损伤识别  被引量:2

Damage Identification of Crane Girder Based on Diagonal Element Change of Flexibility Matrix

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作  者:席鸿皓 周瑾[1] 周扬 李向东[2] XI Honghao;ZHOU Jin;ZHOU Yang;LI Xiangdong(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;Jiangsu Special Equipment Safety Supervision and Inspection Institute, Nanjing 210016, China)

机构地区:[1]南京航空航天大学机电学院,江苏南京210016 [2]江苏省特种设备安全监督检验研究院,江苏南京210016

出  处:《测试技术学报》2020年第3期208-214,共7页Journal of Test and Measurement Technology

基  金:南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj20180515);国家质量监督检验检疫总局科技资助项目(2017QK005)。

摘  要:国内的桥架型起重机大部分老化严重且长期服役于复杂的工况环境,在生产工作中存在巨大安全隐患,对起重机结构的损伤识别进行研究十分必要.模态柔度因其方便获取以及对损伤的敏感性等优势,成为工程应用方法研究中的关键动力学参数.本文以门式起重机简化模型为研究对象,建立有限元模型.通过降低主梁局部单元的杨氏模量以模拟损伤,从不同损伤形式的识别效果和抗噪性能上对模态柔度矩阵对角元素差值和差值曲率两种方法进行了对比研究.相比于柔度矩阵对角元素差值,差值曲率法可以明显提高损伤识别效果,但差值法比差值曲率法的抗噪性能好.Most of the domestic overhead cranes are aging seriously and have been serving in complex working conditions for a long time.There are huge potential safety hazards in the production work.It is necessary to study the damage identification of crane structure.Modal flexibility has become a key dynamic parameter in the study of engineering application because of its advantages of easy acquisition and sensitivity to damage.In this paper,the simplified model of gantry crane is taken as the research object,and the finite element model is established.By reducing the Young's modulus of the local elements of the main girder to simulate the damage,the difference and difference curvature of diagonal elements of modal flexibility matrix are compared from the identification effect of different damage forms and the anti-noise performance.Compared with the difference of diagonal elements of flexibility matrix,difference curvature method can significantly improve the damage identification effect,but the difference method has better anti-noise performance than the difference curvature method.

关 键 词:起重机 柔度矩阵对角元素差值 差值曲率 损伤识别 抗噪性 

分 类 号:TH215[机械工程—机械制造及自动化]

 

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