期刊文献+

基于Mindlin板理论的偏移损伤成像数值仿真研究 被引量:6

A SIMULATION STUDY ON MIGRATION TECHNIQUE FOR DAMAGE IMAGING BASED ON MINDLIN PLATE THEORY
在线阅读 下载PDF
导出
摘要 提出了一种应用散射Lamb波的偏移技术对板结构中多部位损伤进行实时识别.基于Mindlin板理论,推导了板结构中弥散性弯曲波频率-波数域的快速偏移方法.首先对由线性传感器阵列激励和接收到的入射和散射波场在波数-频率域分别进行延拓,然后根据Huygens原理,结合波场延拓的时间一致性原理施加成像条件,对损伤进行成像识别.数值仿真研究采用基于Mindlin板理论的有限差分法模拟结构中含不同形状及尺寸损伤时的散射波场.对模拟散射波场进行偏移成像的结果表明该方法不仅能够识别多部位损伤的位置,还具有识别损伤程度的能力,其快速计算的优点满足在线结构健康监测系统对实时性的要求. Currently,structural health monitoring(SHM) is one of the most promising directions in the research field of smart materials and structures.However,up to now,most of the developed methods can only detect and localize the damage,quantitatively identify the extent of the damage,especially for multiple damages,remain a challenge task.This paper proposed a migration approach for identification of multiple damages in plate-like structure in real time using scattered Lamb waves.Based on Mindlin plate theory,the fast frequency-wavenumber domain migration technique for dispersive flexural wave was deduced for the first time.According to the Huygens' Principle,damages were imaged by applying a time-coincidence imaging condition after extrapolating the excited and scattered wave fields.Numerical simulation study employed a Mindlin plate theory-based finite difference method to generate synthetic scattered wave fields with damages of different shapes and sizes in the structure.Imaging results for the synthetic wave fields have demonstrated that the proposed method has the capability of not only localizing multiple damages but also identifying their extent;its advantage of fast calculation meets the requirement of real-time damage identification for an on-line structural health monitoring system.
作者 严刚 周丽
出处 《力学学报》 EI CSCD 北大核心 2010年第3期499-505,共7页 Chinese Journal of Theoretical and Applied Mechanics
基金 国家自然科学基金(10572058) 航空基金(2008ZA52012) 南京航空航天大学博士论文创新与创优基金(BCXJ07-03)资助项目~~
关键词 结构健康监测 频率-波数域偏移 多部位损伤识别 Mindlin理论 LAMB波 structural health monitoring frequency-wavenumber domain migration multiple damages identification Mindlin theory Lamb waves
  • 相关文献

参考文献17

  • 1Giurgiutiu V, Cuc A. Embedded NDE for structural health monitoring, damage detection, and failure prevention. The Shock and Vibration Digest, 2005, 37(2): 83-105.
  • 2王等明,周又和.矩形板结构损伤的分区域神经网络识别方法[J].力学学报,2005,37(3):374-377. 被引量:2
  • 3Su Z, Ye L, Lu Y. Guided Lamb waves for identification of damage in composite structures: a review. Journal of Sound and Vibration, 2006, 295(4): 753-780.
  • 4Cawley P, Alleyne D. The use of Lamb waves for the long range inspection of large structures. Ultrasonics, 1996, 34(2): 287-290.
  • 5Lemistre M, Balageas DL. Structural health monitoring system based on diffracted Lamb wave analysis by multiresolution processing. Smart Materials and Structures, 2001, 10(3): 504-511.
  • 6Su Z, Ye L, Bu X. A damage identification technique for CF/EP composite laminates using distributed piezoelectric transducers. Composite Structures, 2002, 57(1-4): 465-471.
  • 7Wang CH, Rose JT, Chang FK. A synthetic time-reversal imaging method for structural health monitoring. Smart Materials and Structures, 2004, 13(2): 415-423.
  • 8严刚,周丽.基于Lamb波的复合材料结构损伤成像研究[J].仪器仪表学报,2007,28(4):583-589. 被引量:17
  • 9Chien LS. In-situ damage detection of plates by the migration technique. In: Proceedings of 38th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 1997. 1110-1115.
  • 10Lin X, Yuan FG. Damage detection of a plate using migration technique. Journal of Intelligent Material Systems and Structures, 2001, 12(7): 469-482.

二级参考文献20

  • 1Zubaydi A, Haddara MR, Swamidas AS. Damage identification in a ship's structure using neural networks. Ocean Engineering, 2002, 29:1187~1200.
  • 2Suh MW, Shim MB, Kim MY. Crack identification using hybrid Neuro-Genetic technique. Journal of Sound and Vibration, 2000, 238(4): 617~635.
  • 3Rhim SW. A neural network approach for damage detection and identification of structures. Computational Mechanics,1995, 16(6): 437~443.
  • 4Elkordy MF,Chang KC, Lee GC. Application of neural net-workd in vibrational signature analysis. Journal of Engineering Mechanics, 1994, 120(2): 251~264.
  • 5Ferregut Carlos, Roberto A. Artifical neural networks for structural damage and classification. Smart Structures and Materials 1995: Smart Systems for Bridges, Structures and Highways, Matthews LK, ed, 1995, 2446:68~80.
  • 6Ceravolo R. Hierarchical use of neural techniques in structural damage recognition. Smart Materials and Structures,1995, 4:270~280.
  • 7Martin TH, Mohammad BM. Training feed forward net-works with the Marquardt algorithm. IEEE Transactions on Neural Networks, 1994, 5(6): 989~993.
  • 8阎平凡 张长水.人工神经网络与模拟进化计算[M].北京:清华大学出版社,1999..
  • 9BOLLER C.Next generation structural health monitoring and its integration into aircraft design[J].International Journal of Systems Science,2000,31 (11):1333-1349.
  • 10CAWLEY P,ALLEYNE D.The use of Lamb waves for the long range inspection of large structures[J].Ultrasonics,1996,34(2):287-290.

共引文献17

同被引文献65

引证文献6

二级引证文献45

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