Output-only structural identification in time domain: Numerical and experimental studies
By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research area, many challenges remain in achieving robust structural identification based on incomplete and noisy measurement signals. The identificat...
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Published in | Earthquake engineering & structural dynamics Vol. 37; no. 4; pp. 517 - 533 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
10.04.2008
Wiley |
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Abstract | By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research area, many challenges remain in achieving robust structural identification based on incomplete and noisy measurement signals. The identification task is made even more difficult if measurement of input force is to be eliminated. To this end, an output‐only structural identification strategy is proposed to identify unknown stiffness and damping parameters. A non‐classical approach based on genetic algorithms (GAs) is adopted. The proposed strategy makes use of the recently developed GA‐based method of search space reduction, which has shown to be able to accurately and reliably identify structural parameters from measured input and output signals. By modifying the numerical integration scheme, input can be computed as the parameter identification task is in progress, thereby eliminating the need to measure forces. Numerical and experimental results demonstrate the power of the strategy in accurate and efficient identification of structural parameters and damage using only incomplete acceleration measurements. Copyright © 2007 John Wiley & Sons, Ltd. |
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AbstractList | Abstract
By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research area, many challenges remain in achieving robust structural identification based on incomplete and noisy measurement signals. The identification task is made even more difficult if measurement of input force is to be eliminated. To this end, an output‐only structural identification strategy is proposed to identify unknown stiffness and damping parameters. A non‐classical approach based on genetic algorithms (GAs) is adopted. The proposed strategy makes use of the recently developed GA‐based method of search space reduction, which has shown to be able to accurately and reliably identify structural parameters from measured input and output signals. By modifying the numerical integration scheme, input can be computed as the parameter identification task is in progress, thereby eliminating the need to measure forces. Numerical and experimental results demonstrate the power of the strategy in accurate and efficient identification of structural parameters and damage using only incomplete acceleration measurements. Copyright © 2007 John Wiley & Sons, Ltd. By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research area, many challenges remain in achieving robust structural identification based on incomplete and noisy measurement signals. The identification task is made even more difficult if measurement of input force is to be eliminated. To this end, an output-only structural identification strategy is proposed to identify unknown stiffness and damping parameters. A non-classical approach based on genetic algorithms (GAs) is adopted. The proposed strategy makes use of the recently developed GA-based method of search space reduction, which has shown to be able to accurately and reliably identify structural parameters from measured input and output signals. By modifying the numerical integration scheme, input can be computed as the parameter identification task is in progress, thereby eliminating the need to measure forces. Numerical and experimental results demonstrate the power of the strategy in accurate and efficient identification of structural parameters and damage using only incomplete acceleration measurements. By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research area, many challenges remain in achieving robust structural identification based on incomplete and noisy measurement signals. The identification task is made even more difficult if measurement of input force is to be eliminated. To this end, an output‐only structural identification strategy is proposed to identify unknown stiffness and damping parameters. A non‐classical approach based on genetic algorithms (GAs) is adopted. The proposed strategy makes use of the recently developed GA‐based method of search space reduction, which has shown to be able to accurately and reliably identify structural parameters from measured input and output signals. By modifying the numerical integration scheme, input can be computed as the parameter identification task is in progress, thereby eliminating the need to measure forces. Numerical and experimental results demonstrate the power of the strategy in accurate and efficient identification of structural parameters and damage using only incomplete acceleration measurements. Copyright © 2007 John Wiley & Sons, Ltd. |
Author | Koh, C. G. Perry, M. J. |
Author_xml | – sequence: 1 givenname: M. J. surname: Perry fullname: Perry, M. J. organization: Department of Civil Engineering, National University of Singapore, Singapore 117576, Singapore – sequence: 2 givenname: C. G. surname: Koh fullname: Koh, C. G. email: cgkoh@nus.edu.sg organization: Department of Civil Engineering, National University of Singapore, Singapore 117576, Singapore |
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Cites_doi | 10.1002/eqe.219 10.1002/(SICI)1096-9845(199911)28:11<1449::AID-EQE881>3.0.CO;2-5 10.1002/eqe.350 10.1016/S0045-7949(02)00344-9 10.1061/(ASCE)0733-9445(2000)126:8(957) 10.1002/eqe.500 10.1016/S0266-8920(99)00009-0 10.1061/(ASCE)0733-9399(2006)132:10(1050) 10.1007/s00466-003-0538-9 10.1061/(ASCE)0733-9445(1999)125:4(410) 10.1002/eqe.106 10.1088/0964-1726/11/6/301 10.1002/eqe.4290201106 10.1061/(ASCE)0733-9399(1995)121:2(255) 10.1061/(ASCE)0733-9399(2000)126:7(746) 10.1061/(ASCE)0733-9445(2006)132:9(1491) 10.1115/1.3423979 10.1061/(ASCE)0887-3801(2002)16:3(222) 10.1061/(ASCE)0733-9399(2004)130:8(877) 10.23919/ACC.2004.1383965 10.1080/00207179008934126 10.1016/j.compstruc.2005.11.008 10.1115/1.2827086 10.1016/S0141-0296(03)00122-6 |
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Keywords | experimental studies algorithms damage detection damage detection stiffness genetic algorithm acceleration experiment structural dynamics earthquake engineering reduction strategy system identification output-only identification |
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References | Zhao J, DeWolf JT. Sensitivity study for vibrational parameters used in damage detection. Journal of Structural Engineering 1999; 125(4):410-416. Luh GC, Wu CY. Non-linear system identification using genetic algorithms. Journal of Systems and Control Engineering 1999; 213:105-118. Roberts JB, Vasta M. Parametric identification of systems with non-Gaussian excitation using measured response spectra. Probabilistic Engineering Mechanics 2000; 15:59-71. Chen S, Billings SA, Grant PM. Non-linear system identification using neural networks. International Journal of Control 1990; 51(6):1191-1214. Spanos PD, Lu R. Nonlinear system identification in offshore structural reliability. Journal of Offshore Mechanics and Artic Engineering 1995; 117:171-177. Koh CG, Hong B, Liaw CY. Parameter identification of large structural systems in time domain. Journal of Structural Engineering 2000; 126(8):957-963. Perry MJ, Koh CG, Choo YS. Modified genetic algorithm strategy for structural identification. Computers and Structures 2006; 84:529-540. Li Y, Mau ST. A case study of MIMO system identification applied to building seismic records. Earthquake Engineering and Structural Dynamics 1991; 20:1045-1064. Ghanem R, Shinozuka M. Structural system identification I: theory. Journal of Engineering Mechanics 1995; 121:255-264. Holland JH. Adaptation in Natural and Artificial Systems. University of Michigan Press: Ann Arbor, 1975. Chen J, Li J. Simultaneous identification of structural parameters and input time history from output-only measurements. Computational Mechanics 2004; 33:365-374. Hao H, Xia Y. Vibration-based damage detection of structures by genetic algorithm. Journal of Computing in Civil Engineering 2002; 16(3):222-229. Ling X, Haldar A. Element level system identification with unknown input with Rayleigh damping. Journal of Engineering Mechanics 2004; 130(8):877-885. Ni YQ, Wang BS, Ko JM. Constructing input vectors to neural networks for structural damage identification. Smart Materials and Structures 2002; 11(6):825-833. Lin JW, Betti R. On-line identification and damage detection in non-linear structural systems using a variable forgetting factor approach. Earthquake Engineering and Structural Dynamics 2004; 33(4):419-444. Koh CG, Shankar K. Substructural identification method without interface measurement. Journal of Engineering Mechanics 2003; 29(7):769-776. Koh CG, Hong B, Liaw CY. Substructural and progressive structural identification methods. Engineering Structures 2003; 25:1551-1563. Caravani P, Watson ML, Thomson WT. Recursive least-squares time domain estimation of structural parameters. Journal of Applied Mechanics 1977; 44(1):135-140. Tee KF, Koh CG, Quek ST. Substructural first- and second-order model identification for structural damage assessment. Earthquake Engineering and Structural Dynamics 2005; 34(15):1755-1775. Perera R, Torres R. Structural damage detection via modal data with genetic algorithms. Journal of Structural Engineering 2006; 132(9):1491-1501. Hung SL, Kao CY. Structural damage detection using the optimal weights of the approximating artificial neural networks. Earthquake Engineering and Structural Dynamics 2002; 31(2):217-234. Shi T, Jones NP, Ellis JH. Simultaneous estimation of system and input parameters from output measurements. Journal of Engineering Mechanics 2000; 126(7):746-753. Huang CS, Hung SL, Wen CM, Tu TT. A neural network approach for structural identification and diagnosis of a building from seismic response data. Earthquake Engineering and Structural Dynamics 2003; 32(2):187-206. Lu ZR, Law SS. Force identification based on sensitivity in time domain. Journal of Engineering Mechanics 2006; 132(10):1050-1056. Lus H, Betti R, Longman RW. Identification of linear structural systems using earthquake-induced vibration data. Earthquake Engineering and Structural Dynamics 1999; 28(11):1449-1467. Koh CG, Chen YF, Liaw CY. A hybrid computational strategy for identification of structural parameters. Computers and Structures 2003; 81:107-117. 1990; 51 2002; 16 2004; 33 2003; 81 2006; 84 2000; 15 2002; 31 2000; 126 1999; 28 2004; 130 1991; 20 2002; 11 1995; 117 1975 2003; 25 2006; 132 1977; 44 1999; 125 2003; 29 1999; 213 1995; 121 2005; 34 2003; 32 Luh GC (e_1_2_1_21_2) 1999; 213 Koh CG (e_1_2_1_19_2) 2003; 29 e_1_2_1_22_2 e_1_2_1_23_2 e_1_2_1_20_2 e_1_2_1_26_2 e_1_2_1_27_2 e_1_2_1_24_2 e_1_2_1_25_2 e_1_2_1_28_2 e_1_2_1_29_2 e_1_2_1_6_2 e_1_2_1_30_2 e_1_2_1_4_2 Spanos PD (e_1_2_1_5_2) 1995; 117 e_1_2_1_2_2 e_1_2_1_11_2 e_1_2_1_12_2 Holland JH (e_1_2_1_16_2) 1975 e_1_2_1_10_2 e_1_2_1_15_2 Roberts JB (e_1_2_1_3_2) 2000; 15 e_1_2_1_13_2 e_1_2_1_14_2 Caravani P (e_1_2_1_7_2) 1977; 44 e_1_2_1_8_2 e_1_2_1_17_2 e_1_2_1_9_2 e_1_2_1_18_2 |
References_xml | – volume: 51 start-page: 1191 issue: 6 year: 1990 end-page: 1214 article-title: Non‐linear system identification using neural networks publication-title: International Journal of Control – volume: 132 start-page: 1050 issue: 10 year: 2006 end-page: 1056 article-title: Force identification based on sensitivity in time domain publication-title: Journal of Engineering Mechanics – volume: 121 start-page: 255 year: 1995 end-page: 264 article-title: Structural system identification I: theory publication-title: Journal of Engineering Mechanics – volume: 16 start-page: 222 issue: 3 year: 2002 end-page: 229 article-title: Vibration‐based damage detection of structures by genetic algorithm publication-title: Journal of Computing in Civil Engineering – start-page: 57 end-page: 67 – volume: 126 start-page: 957 issue: 8 year: 2000 end-page: 963 article-title: Parameter identification of large structural systems in time domain publication-title: Journal of Structural Engineering – start-page: 4189 end-page: 4194 – volume: 132 start-page: 1491 issue: 9 year: 2006 end-page: 1501 article-title: Structural damage detection via modal data with genetic algorithms publication-title: Journal of Structural Engineering – volume: 25 start-page: 1551 year: 2003 end-page: 1563 article-title: Substructural and progressive structural identification methods publication-title: Engineering Structures – volume: 33 start-page: 365 year: 2004 end-page: 374 article-title: Simultaneous identification of structural parameters and input time history from output‐only measurements publication-title: Computational Mechanics – year: 1975 – volume: 15 start-page: 59 year: 2000 end-page: 71 article-title: Parametric identification of systems with non‐Gaussian excitation using measured response spectra publication-title: Probabilistic Engineering Mechanics – volume: 29 start-page: 769 issue: 7 year: 2003 end-page: 776 article-title: Substructural identification method without interface measurement publication-title: Journal of Engineering Mechanics – volume: 117 start-page: 171 year: 1995 end-page: 177 article-title: Nonlinear system identification in offshore structural reliability publication-title: Journal of Offshore Mechanics and Artic Engineering – volume: 34 start-page: 1755 issue: 15 year: 2005 end-page: 1775 article-title: Substructural first‐ and second‐order model identification for structural damage assessment publication-title: Earthquake Engineering and Structural Dynamics – volume: 84 start-page: 529 year: 2006 end-page: 540 article-title: Modified genetic algorithm strategy for structural identification publication-title: Computers and Structures – volume: 125 start-page: 410 issue: 4 year: 1999 end-page: 416 article-title: Sensitivity study for vibrational parameters used in damage detection publication-title: Journal of Structural Engineering – volume: 213 start-page: 105 year: 1999 end-page: 118 article-title: Non‐linear system identification using genetic algorithms publication-title: Journal of Systems and Control Engineering – volume: 11 start-page: 825 issue: 6 year: 2002 end-page: 833 article-title: Constructing input vectors to neural networks for structural damage identification publication-title: Smart Materials and Structures – volume: 44 start-page: 135 issue: 1 year: 1977 end-page: 140 article-title: Recursive least‐squares time domain estimation of structural parameters publication-title: Journal of Applied Mechanics – volume: 81 start-page: 107 year: 2003 end-page: 117 article-title: A hybrid computational strategy for identification of structural parameters publication-title: Computers and Structures – volume: 130 start-page: 877 issue: 8 year: 2004 end-page: 885 article-title: Element level system identification with unknown input with Rayleigh damping publication-title: Journal of Engineering Mechanics – volume: 28 start-page: 1449 issue: 11 year: 1999 end-page: 1467 article-title: Identification of linear structural systems using earthquake‐induced vibration data publication-title: Earthquake Engineering and Structural Dynamics – volume: 33 start-page: 419 issue: 4 year: 2004 end-page: 444 article-title: On‐line identification and damage detection in non‐linear structural systems using a variable forgetting factor approach publication-title: Earthquake Engineering and Structural Dynamics – volume: 126 start-page: 746 issue: 7 year: 2000 end-page: 753 article-title: Simultaneous estimation of system and input parameters from output measurements publication-title: Journal of Engineering Mechanics – volume: 20 start-page: 1045 year: 1991 end-page: 1064 article-title: A case study of MIMO system identification applied to building seismic records publication-title: Earthquake Engineering and Structural Dynamics – volume: 31 start-page: 217 issue: 2 year: 2002 end-page: 234 article-title: Structural damage detection using the optimal weights of the approximating artificial neural networks publication-title: Earthquake Engineering and Structural Dynamics – volume: 32 start-page: 187 issue: 2 year: 2003 end-page: 206 article-title: A neural network approach for structural identification and diagnosis of a building from seismic response data publication-title: Earthquake Engineering and Structural Dynamics – ident: e_1_2_1_25_2 – ident: e_1_2_1_13_2 doi: 10.1002/eqe.219 – ident: e_1_2_1_9_2 doi: 10.1002/(SICI)1096-9845(199911)28:11<1449::AID-EQE881>3.0.CO;2-5 – ident: e_1_2_1_10_2 doi: 10.1002/eqe.350 – ident: e_1_2_1_20_2 doi: 10.1016/S0045-7949(02)00344-9 – ident: e_1_2_1_17_2 doi: 10.1061/(ASCE)0733-9445(2000)126:8(957) – ident: e_1_2_1_11_2 doi: 10.1002/eqe.500 – volume: 15 start-page: 59 year: 2000 ident: e_1_2_1_3_2 article-title: Parametric identification of systems with non‐Gaussian excitation using measured response spectra publication-title: Probabilistic Engineering Mechanics doi: 10.1016/S0266-8920(99)00009-0 contributor: fullname: Roberts JB – ident: e_1_2_1_27_2 doi: 10.1061/(ASCE)0733-9399(2006)132:10(1050) – ident: e_1_2_1_30_2 doi: 10.1007/s00466-003-0538-9 – volume: 29 start-page: 769 issue: 7 year: 2003 ident: e_1_2_1_19_2 article-title: Substructural identification method without interface measurement publication-title: Journal of Engineering Mechanics contributor: fullname: Koh CG – ident: e_1_2_1_2_2 doi: 10.1061/(ASCE)0733-9445(1999)125:4(410) – ident: e_1_2_1_14_2 doi: 10.1002/eqe.106 – ident: e_1_2_1_15_2 doi: 10.1088/0964-1726/11/6/301 – ident: e_1_2_1_6_2 doi: 10.1002/eqe.4290201106 – ident: e_1_2_1_8_2 doi: 10.1061/(ASCE)0733-9399(1995)121:2(255) – ident: e_1_2_1_4_2 doi: 10.1061/(ASCE)0733-9399(2000)126:7(746) – ident: e_1_2_1_23_2 doi: 10.1061/(ASCE)0733-9445(2006)132:9(1491) – volume: 44 start-page: 135 issue: 1 year: 1977 ident: e_1_2_1_7_2 article-title: Recursive least‐squares time domain estimation of structural parameters publication-title: Journal of Applied Mechanics doi: 10.1115/1.3423979 contributor: fullname: Caravani P – volume-title: Adaptation in Natural and Artificial Systems year: 1975 ident: e_1_2_1_16_2 contributor: fullname: Holland JH – ident: e_1_2_1_22_2 doi: 10.1061/(ASCE)0887-3801(2002)16:3(222) – ident: e_1_2_1_28_2 doi: 10.1061/(ASCE)0733-9399(2004)130:8(877) – ident: e_1_2_1_29_2 doi: 10.23919/ACC.2004.1383965 – ident: e_1_2_1_12_2 doi: 10.1080/00207179008934126 – volume: 213 start-page: 105 year: 1999 ident: e_1_2_1_21_2 article-title: Non‐linear system identification using genetic algorithms publication-title: Journal of Systems and Control Engineering contributor: fullname: Luh GC – ident: e_1_2_1_24_2 doi: 10.1016/j.compstruc.2005.11.008 – ident: e_1_2_1_26_2 – volume: 117 start-page: 171 year: 1995 ident: e_1_2_1_5_2 article-title: Nonlinear system identification in offshore structural reliability publication-title: Journal of Offshore Mechanics and Artic Engineering doi: 10.1115/1.2827086 contributor: fullname: Spanos PD – ident: e_1_2_1_18_2 doi: 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Snippet | By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this research... Abstract By identifying changes in stiffness parameters, structural damage can be detected and monitored. Although considerable progress has been made in this... |
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SubjectTerms | damage detection Earth sciences Earth, ocean, space Earthquakes, seismology Engineering and environment geology. Geothermics Engineering geology Exact sciences and technology experiment genetic algorithm Internal geophysics output-only identification structural dynamics system identification |
Title | Output-only structural identification in time domain: Numerical and experimental studies |
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