Structural identification (St-Id) using finite element models for optimum sensor configuration and uncertainty quantification

Finite Elements in Analysis and Design

Volumn 81, Issue , 2014, Pages 1-13

  Serhat Erdogan, Yildirim ^a   Necati Catbas, F ^b   Gundes Bakir, Pelin ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b University of Central Florida   (United States)

Author keywords

Cluster analysis; Damage detection; Fuzzy arithmetic; Genetic algorithms; Harmony search; Structural health monitoring; Structural identification

Indexed keywords

CIVIL ENGINEERING STRUCTURES; FUZZY ARITHMETICS; HARMONY SEARCH; HYBRID EVOLUTIONARY OPTIMIZATIONS; INVERSE FUZZY ARITHMETICS; STRUCTURAL HEALTH MONITORING (SHM); STRUCTURAL IDENTIFICATION; UNCERTAINTY QUANTIFICATIONS;

BRIDGES; CIVIL ENGINEERING; CLUSTER ANALYSIS; DAMAGE DETECTION; FINITE ELEMENT METHOD; FUZZY SETS; HYDRAULIC STRUCTURES; MATHEMATICAL MODELS; OPTIMIZATION; SENSORS; STRUCTURAL ANALYSIS; STRUCTURAL HEALTH MONITORING;

GENETIC ALGORITHMS;

EID: 84889640794     PISSN: 0168874X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.finel.2013.10.009     Document Type: Article

References (53)

1. A.E. Aktan, F.N. Catbas, A. Turer, and Z. Zhang Structural identification: analytical arts J. Struct. Eng. ASCE 124 7 1998 817 829
2. J.M.W. Brownjohn, P. Xia, H. Hao, and Y. Xia Civil structure condition assessment by FE model updating: methodology and case studies Finite Elem. Anal. Des. 37 2001 761 775 (Pubitemid 32888156)
3. F.N. Catbas, S.K. Ciloglu, O. Hasancebi, K.A Grimmelsman, and A.E. Aktan Limitations in structural Identification of large constructed structures J. Struct. Eng. ASCE 133 2007 1051 1066 (Pubitemid 47114670)
4. J.E. Mottershead, L. Michael, and M.I. Friswell The sensitivity method in finite element model updating: a tutorial Mech. Syst. Signal Process. 25 7 2011 2275 2296
5. P.G. Bakir, E. Reynders, and G.De Roeck Sensitivity-based finite element model updating using constrained optimization with a trust region algorithm J. Sound Vib. 305 2007 211 225 (Pubitemid 46891489)
6. A. Teughels, and G. De Roeck Structural damage identification of the highway bridge Z24 by FE model updating J. Sound Vib. 278 2004 589 610
7. S.E. Bell, M. Sanayei, C.N. Javdekar, and E. Slavsky Multiresponse parameter estimation for finite element model updating using nondestructive test data J. Struct. Eng. 133 8 2007 1067 1079 (Pubitemid 47114671)
8. A. Esfandiari, F. Bakhtiari-Nejad, M. Sanayei, and A. Rahai Structural finite element model updating using transfer function data Comp. Struct. 88 2010 54 64
9. H.B. Gokce, F.N. Catbas, M. Gul, and D.M. Frangopol Structural identification for performance prediction by considering uncertainties through a family of models J. Struct. Eng. ASCE 139 10 2013 1703 1716
10. M. Gul, and F.N. Catbas Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering J. Sound Vib. 330 2011 1196 1210
11. Y.R. Nicoud, B. Raphael, and I.F.C. Smith Configuration of measurement systems using Shannon's entropy function Compt. Struct. 83 2005 599 612 (Pubitemid 40244602)
12. T.H. Yi, H.N. Li, and M. Gu Optimal sensor placement for structural health monitoring based on multiple optimization strategies Struct. Des. Tall Spec. Build. 20 2011 881 900
13. C. Papadimitriou, J.L. Beck, and S.K. Au Entropy-based optimal sensor location for structural model updating J. Vib. Control 6 5 2000 781 800
14. H.M. Chow, H.F. Lam, T. Yin, and S.K. Au Optimal sensor configuration of a typical transmission tower for the purpose of structural model updating Struct. Control Health Monit. 18 2011 305 320
15. P.G. Bakir Evaluation of optimal sensor placement techniques for parameter identification in buildings Math. Comput. Appl. 16 2 2011 456 466
16. P.G. Bakir, E. Reynders, and G. De Roeck An improved finite element model updating method by the global optimization technique 'Coupled Local Minimizers' Compt. Struct. 86 2008 1339 1352 (Pubitemid 351626118)
17. R. Perera, and R. Torres Structural damage detection via modal data with genetic algorithms J. Struct. Eng. 132 2006 1491 1501
18. M.A. Rao, J. Srinivas, and B.N.S. Murthy Damage detection in vibrating bodies using genetic algorithm Comput. Struct. 82 2004 963 968
19. R.S. He, and S.F. Hwang Damage detection by an adaptive real-parameter simulated annealing genetic algorithm Compt. Struct. 84 2006 2231 2243
20. Y.S. Erdogan, and P.G. Bakir Evaluation of the different genetic algorithms parameters and operators for the finite element model updating problem Comput. Concr. 11 6 2013 541 570
21. V. Meruane, and W. Heylen An hybrid real genetic algorithm to detect structural damage using modal properties Mech. Syst. Signal Process. 25 2011 1559 1573
22. R. Perera, S.E. Fang, and A. Ruiz Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors Meccanica 45 2010 723 734
23. O. Begambre, and J.E. Laier A hybrid particle swarm optimization - simplex algorithm (PSOS) for structural damage identification Adv. Eng. Softw. 40 2009 883 891
24. P.G. Bakir, and Y.S. Erdogan Damage identification in reinforced concrete structures by finite element model updating using parallel and hybrid genetic algorithms Int. J. Comput. Methods 10 3 2013
25. T. Haukaas, and P. Gardoni Model uncertainty in finite-element analysis: Bayesian finite elements ASCE J. Eng. Mech. 137 2011 519 527
26. F.N. Catbas, H.B. Gokce, M. Gul, and D.M. Frangopol Predictive analysis by incorporating uncertainty through a family of models calibrated with structural health monitoring data J. Eng. Mech. ASCE 139 6 2013 712 724
27. S. Adhikari, and M.I. Friswell Random matrix eigenvalue problems in structural dynamics Int. J. Numer. Methods Eng. 69 3 2007 562 591 (Pubitemid 46117458)
28. H. Khodaparast, J. Mottershead, and M.I. Friswell Perturbation methods for the estimation of parameter variability in stochastic model updating Mech. Syst. Signal Process. 22 8 2008 1751 1773
29. X. Hua, Y. Ni, Z. Chen, and J. Ko An improved perturbation method for stochastic finite element model updating Int. J. Numer. Methods Eng. 73 13 2008 1845 1864 (Pubitemid 351454752)
30. C. Mares, J.E. Mottershead, and M.I. Friswell Stochastic model updating: part 1 - theory and simulated example Mech. Syst. Signal Process. 20 2006 674 695
31. J.L. Beck, and L.S. Katafygiotis Updating model and their uncertainties I: Bayesian statistical framework J. Eng. Mech. 124 4 1998 455 461 (Pubitemid 128571487)
32. J.L. Beck, and S.K. Au Bayesian updating of structural models and reliability using Markov chain Monte Carlo simulation J. Eng. Mech. 128 4 2002 380 391 (Pubitemid 34468195)
33. B. Goller, and G.I. Schueller Investigation of model uncertainties in Bayesian structural model updating J. Sound Vib. 330 2011 6122 6136
34. J.L. Beck, and K.V. Yuen Model selection using response measurements: bayesian probabilistic approach J. Eng. Mech. 130 2 2004 192 203 (Pubitemid 38242322)
35. D. Degrauwe, G. De Roeck, and G. Lombaert Uncertainty quantification in the damage assessment of a cable-stayed bridge by means of fuzzy numbers Compt. Struct. 87 2009 1077 1084
36. D. Degrauwe, G. Lombaert, and G. De Roeck Improving interval analysis in finite element calculations by means of affine arithmetic Compt. Struct. 88 2010 247 254
37. Y.S. Erdogan, and P. Bakir GInverse propagation of uncertainties in finite element model updating through use of fuzzy arithmetic Eng. Appl. Artif. Intell. 26 1 2013 357 367
38. T. Haag, J. Herrmann, and M. Hanss Identification procedure for epistemic uncertainties using inverse fuzzy arithmetic Mech. Syst. Signal Process. 24 2010 2021 2034
39. X Wang, H. Yang, and Z. Qiu Interval analysis method for damage identification of structures AIAA J. 48 6 2010 1108 1116
40. H.H. Khodaparast, J.E. Mottershead, and K.J. Badcock Interval model updating with irreducible uncertainty using the Kriging predictor Mech. Syst. Signal Process. 25 2011 1204 1226
41. F.N. Catbas, and T. Kijewski-Correa Structural identification of constructed systems: a collective effort toward an integrated approach that eeduces barriers to adoption J. Struct. Eng. ASCE 139 10 2013 1648 1653
42. P.G. Bakir The combined deterministic stochastic subspace based system identification in buildings Struct. Eng. Mech 38 3 2011 315 332
43. F.N. Catbas, J.M. Caicedo, S.J. Dyke, Development of a Benchmark problem for bridge health monitoring, in: Proceedings of the International Conference on Bridge Maintenance, Safety and Management, IABMAS (2006) Porto, Portugal, 2006.
44. F.N. Catbas, Benchmark Problem on Health Monitoring of Highway Bridges Website 〈http://www.cece.ucf.edu/people/catbas/benchmark. htm⌠(last accessed on April 9, 2012).
45. P.G. Bakir Automation of the stabilization diagrams for subspace based system identification Expert Syst. Appl. 38 12 2011 14390 14397
46. MATLAB. The MathWorks, Inc. Natwick, MA (USA) 〈http:// www.mathworks.com⌠2009.
47. M. Hanss Applied Fuzzy Arithmetic - An Introduction with Engineering Applications 2005 Springer Berlin
48. D. Degrauwe, Uncertainty propagation in structural analysis by fuzzy numbers (Ph.D. thesis), Department of Civil Engineering, K.U. Leuven, 2007.
49. F. Massa, K. Ruffin, T. Tison, and B. Lallemand A complete method for efficient fuzzy modal analysis J. Sound Vib. 309 2008 63 85 (Pubitemid 47632630)
50. J.H. Holland Adaptation in Natural and Artificial Systems 1975 The University of Michigan press Ann Arbor
51. D.O. Boyer, C.H. Martinez, and N.G. Pedrajas Robust confidence intervals applied to crossover operator for real-coded genetic algorithms Soft Comput. 12 2008 809 833
52. F. Herrera, M. Lozana, and A.M. Sanchez A taxonomy for the crossover operator for real-coded genetic algorithms: an experimental study Int. J. Intell. Syst. 18 2003 309 333
53. Z.W. Geem, J.H. Kim, and G.V. Loganathan A new heuristic optimization algorithm: harmony search Simulation 76 2001 60 68 (Pubitemid 32543074)