Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms

Structural Control and Health Monitoring

Volumn 18, Issue 8, 2011, Pages 825-839

  Meruane, Viviana ^a,b   Heylen, Ward ^b  

^a UNIVERSITY OF CHILE   (Chile)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

antiresonances; damage assessment; damage penalization; parallel genetic algorithm

Indexed keywords

ANTIRESONANCES; DAMAGE ASSESSMENTS; DAMAGE PENALIZATION; EXPERIMENTAL DAMAGE; EXPERIMENTAL PROCEDURE; FATIGUE CRACKS; FREQUENCY-RESPONSE FUNCTIONS; GRADIENT BASED; MODAL TESTINGS; MODE SHAPES; MULTIPLE DAMAGES; PARALLEL GENETIC ALGORITHM; PARALLEL GENETIC ALGORITHMS; PERFECT MATCHES; SPACE FRAME STRUCTURE; STRUCTURAL CHANGE; STRUCTURAL DAMAGE ASSESSMENTS;

FATIGUE DAMAGE; FREQUENCY RESPONSE; GENETIC ALGORITHMS; INVERSE PROBLEMS; MODAL ANALYSIS; OPTIMIZATION; RATING; STRUCTURAL ANALYSIS; STRUCTURAL FRAMES;

DAMAGE DETECTION;

EID: 82955222927     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.401     Document Type: Article

References (33)

1. Wang Z, Lin R, Lim M,. Structural damage detection using measured FRF data. Computer Methods in Applied Mechanics and Engineering 1997; 147 (1-2): 187-197. DOI: 10.1016/S0045-7825(97)00013-3. (Pubitemid 127411125)
2. Imregun M, Visser W, Ewins D,. Finite element model updating using frequency response function data i. theory and initial investigation. Mechanical Systems and Signal Processing 1995; 9 (2): 187-202. DOI: 10.1006/mssp.1995. 0015.
3. Lammens S,. Frequency response based validation of dynamic structural finite element models. Ph.D. Thesis, Katholieke Universiteit Leuven, 1995.
4. Wahl F, Schmidt G, Forrai L,. On the significance of antiresonance frequencies in experimental structural analysis. Journal of Sound and Vibration 1999; 219 (3): 379-394. DOI: 10.1006/jsvi.1998.1831. (Pubitemid 129550240)
5. Mottershead J,. On the zeros of structural frequency response functions and their sensitivities. Mechanical Systems and Signal Processing 1998; 12 (5): 591-597. DOI: 10.1006/mssp.1998.0167. (Pubitemid 128398615)
6. Hanson D, Waters T, Thompson D, Randall R, Ford R,. The role of anti-resonance frequencies from operational modal analysis in finite element model updating. Mechanical Systems and Signal Processing 2007; 21 (1): 74-97. DOI: 10.1016/j.ymssp.2006.01.001. (Pubitemid 44528238)
7. D'Ambrogio W, Fregolent A,. The use of antiresonances for robust model updating. Journal of Sound and Vibration 2000; 236 (2): 227-243. DOI: 10.1006/jsvi.1999.2987.
8. Jones K, Turcotte J,. Finite element model updating using antiresonant frequencies. Journal of Sound and Vibration 2002; 252 (4): 717-727. DOI: 10.1006/jsvi.2001.3697. (Pubitemid 35220923)
9. D'Ambrogio W, Fregolent A,. Results obtained by minimizing natural frequency and antiresonance errors of a beam model. Mechanical Systems and Signal Processing 2003; 17 (1): 29-37. DOI: 10.1006/mssp.2002.1536.
10. D'Ambrogio W, Fregolent A,. Dynamic model updating using virtual antiresonances. Shock and Vibration 2004; 11 (3-4): 351-363.
11. Dilena M, Morassi A,. The use of antiresonances for crack detection in beams. Journal of Sound and Vibration 2004; 276 (1-2): 195-214. DOI: 10.1016/j.jsv.2003.07.021.
12. Bamnios Y, Douka E, Trochidis A,. Crack identification in beam structures using mechanical impedance. Journal of Sound and Vibration 2002; 256 (2): 287-297. DOI: 10.1006/jsvi.2001.4209. (Pubitemid 35427755)
13. Inada T, Shimamura Y, Todoroki A, Kobayashi H,. Development of the two-step delamination identification method by resonant and anti-resonant frequency changes. Key Engineering Materials 2004; 270-273: 1852-1858. DOI: 10.4028/www.scientific.net/KEM.270-273.1852.
14. Wang D, Zhu H,. Wave propagation based multi-crack identification in beam structures through anti-resonances information. Key Engineering Materials 2005; 293-294: 557-564. DOI: 10.4028/www.scientific.net/KEM.293-294.557. (Pubitemid 46840416)
15. Nam D, Choi S, Park S, Stubbs N,. Improved parameter identification using additional spectral information. International Journal of Solids and Structures 2005; 42 (18-19): 4971-4987. DOI: 10.1016/j.ijsolstr.2005.02.017. (Pubitemid 40761105)
16. Meruane V, Heylen W,. Damage detection with parallel genetic algorithms and operational modes. Structural Health Monitoring 2010; DOI: 10.1177/1475921710365400.
17. Eshelman L, Caruana R, Schaffer J,. Biases in the crossover landscape. Proceedings of the Third International Conference on Genetic Algorithms, San Francisco, CA, U.S.A., 1989; 10-19.
18. Syswerda G,. Uniform crossover in genetic algorithms. Proceedings of the 3rd International Conference on Genetic Algorithms, San Francisco, CA, U.S.A., 1989; 2-9.
19. Radcliffe N,. Forma analysis and random respectful recombination. Proceedings of the 4th International Conference on Genetic Algorithms. San Diego, CA, U.S.A., 1991; 222-229.
20. Michalewicz Z,. Genetic Algorithms+Data Structures=Evolution Programs. Springer: Berlin, 1996.
21. Wright A,. Genetic algorithms for real parameter optimization. Foundations of Genetic Algorithms 1991; 1: 205-218.
22. Eshelman L, Schaffer J,. Real-coded genetic algorithms and interval-schemata. Foundations of Genetic Algorithms 1993; 2: 187-202.
23. Ortiz-Boyer D, Hervas-Martnez C, Garca-Pedrajas N,. Cixl2: a crossover operator for evolutionary algorithms based on population features. Journal of Artificial Intelligence Research 2005; 24: 1-48. (Pubitemid 43130931)
24. Herrera F, Lozano M, Sanchez A,. Hybrid crossover operators for real-coded genetic algorithms: an experimental study. Soft Computing: A Fusion of Foundations, Methodologies and Applications 2005; 9 (4): 280-298. DOI: 10.1007/s00500-004-0380-9. (Pubitemid 40351930)
25. Meruane V, Heylen W,. Damage detection by a real-parameter hybrid genetic algorithm. Proceedings of the Fourth European Workshop on Structural Health Monitoring, Krakow, Poland, 2-4 July 2008; 1073-1080.
26. Punch W,. How effective are multiple populations in genetic programming. Genetic Programming 1998; 98: 308-313.
27. Alba E, Troya J,. A survey of parallel distributed genetic algorithms. Complexity 1999; 4: 31-52. DOI: 10.1002/(SICI)1099-0526(199903/04)4:4<31:: AID-CPLX5>3.0.CO;2-4. (Pubitemid 129210589)
28. Friswell M, Penny J,. Crack modeling for structural health monitoring. Structural Health Monitoring 2002; 1 (2): 139-148. DOI: 10.1177/ 1475921702001002002.
29. Hao H, Xia Y,. Vibration-based damage detection of structures by genetic algorithm. Journal of Computing in Civil Engineering 2002; 16 (3): 222-229. DOI: 10.1061/(ASCE)0887-3801(2002)16:3(222). (Pubitemid 40475492)
30. Titurus B, Friswell M, Starek L,. Damage detection using generic elements: Part I. Model updating. Computers and Structures 2003; 81 (24-25): 2273-2286. DOI: 10.1016/S0045-7949(03)00317-1.
31. Allemang RJ, Brown DL,. A correlation coefficient for modal vector analysis. Proceedings of the First International Modal Analysis Conference, Orlando, FL, 1982; 110-116. (Pubitemid 15469579)
32. Richardson M, Formenti D,. Parameter estimation from frequency response measurements using rational fraction polynomials. Proceedings of the First International Modal Analysis Conference, Orlando, FL, 1982; 167-181. (Pubitemid 15469589)
33. Guyan R,. Reduction of mass and stiffness matrices. AIAA Journal 1965; 3 (2): 380.