한국전산구조공학회논문집 (Journal of the Computational Structural Engineering Institute of Korea)

  • 제19권3호
  • /
  • Pages.313-322
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  • 2006
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  • 1229-3059(pISSN)
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  • 2287-2302(eISSN)
한국전산구조공학회 (Computational Structural Engineering Institute of Korea)
권호 표지

고유진동수와 모드변형에너지를 이용한 향상된 유전알고리즘 기반 손상검색기법

Improved Genetic Algorithm-Based Damage Detection Technique Using Natural Frequency and Modal Strain Energy

  • 박재형 (부경대학교 해양공학과) ;
  • 류연선 (부경대학교 해양공학과) ;
  • 이진학 (한국해양연구원 연안개발연구본부) ;
  • 김정태 (부경대학교 해양공학과)
  • 발행 : 2006.09.01
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⟨ 이전 논문 다음 논문 ⟩

초록

구조물의 진동 자료를 이용하는 유전알고리즘(GA) 기반 손상검색기법에 있어, 사용되는 모드 특징의 선택은 손상검색 결과의 정확도를 높이는데 중요하다. 본 연구의 목적은 고유진동수와 모드변형에너지를 이용하여 손상검색의 정확도를 높이는 것이다. 이와 같은 연구 목적을 달성하기 위하여 다음과 같은 연구를 수행하였다. 먼저, 모드 변형에너지를 유도하고 고유진동수와 모드변형에너지를 이용하는 새로운 GA 기반 손상검색기법을 제안하였다. 다음으로 제안된 기법의 효율성을 검증하기 위하여 양단 자유보의 손상시나리오를 제시하고, 손상시나리오에 따른 진동모드 실험을 실시하였다. 마지막으로 실험 자료를 바탕으로 제안된 기법과 기존의 고유진동수와 모드형상을 이용하는 기법으로 손상검색을 실시하여 결과를 비교하였다.

In the genetic algoricm (GA) based damage detection methods using vibration of structures, the selection of modal properties is important to improve the accuracy of damage detection. The objective of this study is to improve the accuracy of damage detection using natural frequency and modal strain energy, The following approaches are used to achieve the goal. First, modal strain energy is formulated and a new GA-based damage detection technique using natural frequency and modal strain energy is proposed. Next, to verify the efficiency of proposed technique, damage scenarios for free-free beam are designed and vibration modal tests of the target structure are conducted. Finally, the feasibility of the proposed technique is verified in comparison with other GA-based damage detection technique using natural frequency and mode shape.

키워드

참고문헌

  1. 김정태, 노리스 스텁스 (1999), 개선된 진동기초 손상검색방법의 유도와 검증, 한국전산구조공학회 논문집 12(3). pp.331-343
  2. 류연선, 임오강, 박경진 (1999), 최적설계입문, 반도출판사, 서울, p.623
  3. 윤정방, 이진학, 이종재, 이정석, 전귀현 (2004), 유전자 알고리즘을 이용한 모드기반 교량의 해석모델개선, 한국전산구조공학회 논문집 17(4). pp.389-403
  4. 윤정방, 이형진 (1997), System Identification 기법을 이용한 교량의 안전진단방법, 대한토목학회지, 45(2). pp.74-82
  5. 이상열 (2005), 마이크로 유전 알고리즘을 이용한 자유진동 박판구조물의 비파괴 손상 규명, 한국강구조학회 논문집, 17(2), pp.173-181
  6. 진강규 (2000). 유전알고리즘과 그 응용, 교우사, 서울, p.377
  7. Au, F.T.K., Cheng, Y.S., Tham, L.G., Bai, Z.Z. (2003). Structural Damage Detection based on a Micro-Genetic Algorithm using Incomplete and Noisy Modal Test Data. Journal of Sound and Vibration. 259(5). pp. 1081-1094 https://doi.org/10.1006/jsvi.2002.5116
  8. Choi, M.Y., Kwon, I.B. (2000), Damage Detection System of a Real Steel Truss Bridge by Neural Networks. Proceedings of SPIE. 3988. pp.295-306
  9. Chou, J .H., Ghaboussi, J. (2001). Genetic algorithm in structural damage detection. Computers and Structures. 79. pp.1335-1353 https://doi.org/10.1016/S0045-7949(01)00027-X
  10. Fan, H.Y., Lu, J.W.Z., Xu, Z.B. (2000), An empirical comparison of three novel genetic algorithms. Engineering Computations. 17 (8). pp.981-1002 https://doi.org/10.1108/02644400010360901
  11. Friswell, MJ., Penny, J.E.T., Garvey, S.D. (1998). A Combined genetic and eigen-sensitivity algorithm for the location of damage in structures. Computers and Structures. 69(5). pp.547-556 https://doi.org/10.1016/S0045-7949(98)00125-4
  12. Goladberg, D.E. (1999), Genetic algorithms in Search. Optimization & Machine Learning, Addison-Wesley. New York. p.412
  13. Hao, H., Xia, Y. (2002). Vibration-based Damage Detection of Structures by Genetic Algorithm. Journal of Computing in Civil Engineering. 16(3). pp.222-229 https://doi.org/10.1061/(ASCE)0887-3801(2002)16:3(222)
  14. Hoshiya, M., Saito, E., (1984), Structural identification by extended Kalman Filter. ASCE Journal of Engineering Mechanics. 110(12), pp. 1757-1770 https://doi.org/10.1061/(ASCE)0733-9399(1984)110:12(1757)
  15. Jang, J.H., Yeo. I.H., Shin, S.B., Chang, S.P. (2002). Experimental Investigation of SystemIdentification-Based Damage Assessment on Structures. Journal of Structural Engineering. 128(5). pp.673-682 https://doi.org/10.1061/(ASCE)0733-9445(2002)128:5(673)
  16. Kim, J. T. (2001). Crack Detection Scheme for Steel Plate-Girder Bridges via Vibration-Based System Identification. KSCE Journal of Civil Engineering. 5(1). pp.1-10
  17. Kim, J.T., Ryu, Y.S., Cho, H.M., Stubbs, N. (2003). Damage identification in beam-types: frequency-based method vs mode-shape-based method. Engineering Structure. 25(1). pp.57-67 https://doi.org/10.1016/S0141-0296(02)00118-9
  18. Kwon, Y. W., Bang, H. (2000). The Finite Element Method Using MATLAB (2nd Edition). CRC Press. New York. p.607
  19. Maia, N.M.M., Silva, J.M.M., Almas, E.A.M. (2003), Damage detection in structures: from mode shape to frequency response function methods. Mechanical Systems and Signal Processing. 17(3). pp.489-498 https://doi.org/10.1006/mssp.2002.1506
  20. Mares, C., Surace C. (1996). An application of genetic algorithms to identify damage in elastic structures. Journal of Sound and Vibration. 195(2). pp.195-215 https://doi.org/10.1006/jsvi.1996.0416
  21. Raich, A.M., Liszkai, T.R. (2003), Benefits of Applying an Implicit Redundant Re-presentation Genetic Algorithm for Structural Damage Detection in Noisy Environments. Genetic and Evolutionary Computation Conference. 2724(2003). pp.2418-2419
  22. Rao, M.A., Srinivas, J., Murthy, B.S.N. (2004). Damage detection in vibrating bodies using genetic algorithms. Computers & Structures. 82(11). pp.963-968 https://doi.org/10.1016/j.compstruc.2004.01.005
  23. Ruotolo, R., Surace, C. (1997). Damage assessment of multiple cracked beams: numerical results and experimental validation. Journal of Sound and Vibration. 206(4). pp.567-588 https://doi.org/10.1006/jsvi.1997.1109
  24. Sohn, H., Farrar, C.R., Hemez, F.M., Shucnk, D.D., Strnemates, D.W., Nadler, B.R. (2003). A Review of Structural Health Monitoring Literature: 1996-2001. LA-13976-MS, Los Alamos National Laboratory. Los Alamos. p.301
  25. Stubbs N., Park, S., Sikorsky, C., Choi, S. (2000). A global non-destructive damage assessment methodology for civil engineering structures. International Journal of System Science. 31(11). pp.1361-1373 https://doi.org/10.1080/00207720050197758
  26. Wu, X., Ghaboussi, J., Garrett, J.H.Jr. (1992). Use of neural networks in detection of structural damage. Computers & Structures. 42(5). pp. 649-659 https://doi.org/10.1016/0045-7949(92)90132-J
  27. Yi, J.H., Yun, C.B. (2004). Comparative study on modal identification methods using output-only information. Structural Engineering and Mechanics. 17(3). pp.445-466 https://doi.org/10.12989/sem.2004.17.3_4.445