期刊文献+

基于模型修正的海洋平台结构损伤识别试验研究 被引量:2

Experiment Study on Damage Identification of Offshore Platform Structures Based on Model Updating
在线阅读 下载PDF
导出
摘要 损伤识别是海洋平台结构健康监测的核心问题,对于保障结构的安全服役具有重要的意义。文中将交叉模型交叉模态(CMCM)有限元模型修正方法应用到了导管架式海洋平台结构的损伤识别中。针对实测模态含噪声条件下该方法遇到的"病态"求解难题,引入了截断奇异值分解正则化方法,提出了基于正则化模型修正的损伤识别过程。为验证该过程的有效性,制做了某导管架平台的钢质缩尺简化模型,并在两个典型构件处设置了损伤;利用冲击激励对结构进行了振动测试;根据模态识别结果,采用正则化模型修正过程对各损伤工况进行了损伤识别。结果表明,利用有限的低阶含噪声模态,借助正则化求解技术,该模型修正方法可有效地识别导管架平台结构的损伤。 Damage identification is the key issue of structural health monitoring on offshore platforms, which is of great significance to ensure the safe service of structures. The Cross Model Cross Mode updating method is applied to identify the damages of the offshore platform structure. Regularization method of Truncated Singular Value Decomposition is introduced to solve the problem of "ill-conditioned" model updating equations, when the measured modes are noise polluted. Then, a damage identification process based on regularized model updating is produced. To ascertain the feasibility of the method, a simplified steel scale model of a jacket platform is manufactured, and damage is preset in two typical members. Vibration test of the model structure is carried out by impact excitation. Then, according to the results of model identification, the preset damage cases are identified by the regularized model updating process. Results show that using limited low-order and noise polluted modes, with the help of regularization solution technique, this model updating method can effectively identify the damage of the jacket platform structure.
作者 杨彬 李英超 安文正 YANG Bin;LI Ying-chao;AN Wen-zheng(Shandong Gangtong Engineering Consulting Co.,LTD,Yantai 264099,Shandong Province,China;School of Civil Engineering,Ludong University,Yantai 264025,Shandong Province,China)
出处 《海洋技术学报》 2018年第5期113-120,共8页 Journal of Ocean Technology
基金 国家自然科学基金青年基金资助项目(51809134 51809135) 山东省自然科学基金资助项目(ZR2017MEE007 ZR2017BEE056)
关键词 损伤诊断 模型修正 海洋平台 正则化 damage identification model updating offshore platform regularization
  • 相关文献

参考文献6

二级参考文献64

共引文献69

同被引文献19

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部