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Finite-element-model Updating Applied in Damage Detection

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Finite-element-model Updating Using Computional Intelligence Techniques

Abstract

This chapter presents a multiple criterion method (MCM) that was tested in damage detection of a simple beam with holes and an irregular H-shaped structure. The MCM was compared with the frequency-response function method (FRFM) and the modal property method (MPM) in terms of their abilities to detect damage in structures. The MCM and FRFM methods were generally found to be able to identify damage better than the MPM.

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References

  • Addison PS (1992) The Illustrated Wavelet Transform Handbook, Institute of Physics

    Google Scholar 

  • Bochner S, Chandrasekharan K (1949) Fourier Transforms. Princeton University Press, New Jersey

    MATH  Google Scholar 

  • Bombale BS, Singha MK, Kapuria S (2008) Detection of Delamination Damage in Composite Beams and Plates Using Wavelet Analysis. Struct Eng and Mech 30:699–712

    Google Scholar 

  • Bracewell RN (2000) The Fourier Transform and Its Applications. McGraw-Hill, Boston

    Google Scholar 

  • Cattarius J, Inman DJ (1997) Time Domain Analysis for Damage Detection in Smart Structures. Mech Syst and Signal Process 11:409–423 Finite-element-model Updating Applied Damage Detectionfor

    Article  Google Scholar 

  • Chandrashekhar M, Ganguli R (2009) Structural Damage Detection Using Modal Curvature and Fuzzy Logic. Struct Health Monit 8:267–282

    Article  Google Scholar 

  • Chen HP (2008) Application of Regularization Methods to Damage Detection in Large Scale Plane Frame Structures Using Incomplete Noisy Modal Data. Eng Struct 30:3219–3227

    Article  Google Scholar 

  • Cheng L, Qu W (2008) Structural Damage Detection Based on EMD Method and RBF Neural Network. Earthq Eng and Eng Vib 28:131–138

    Google Scholar 

  • Crossingham B, Marwala T (2007) Using Optimisation Techniques to Granulise Rough Set Partitions. In Comput Models for Life Sci, Am Inst of Phys 952:248–257

    Google Scholar 

  • Dattoma V, Giannoccaro NI, Messina A, Nobile R (2008) Fatigue Damage Evaluation of Metallic Foam Specimens through Modal Data. In: Proc of the 11th Intl Congr and Exhibit on Exper and Appl Mech:527–535

    Google Scholar 

  • Daubechies I (1992) Ten Lectures on Wavelets. Soc for Indust and Appl Maths

    Google Scholar 

  • Dempsey PJ, Afjeh AA (2004) Integrating Oil Debris and Vibration Gear Damage Detection Technologies Using Fuzzy Logic. J of the Am Helicopter Soc 49:109–116

    Article  Google Scholar 

  • Ding Y, Yang Z, Wang L, Dang X (2009) Damage Detection of Composite Structure Using Jointly Response Energy and Continuous Wavelet Transform (CWT). J of Northwestern Polytech Univ 27:316–320

    Google Scholar 

  • Doebling SW, Farrar CR, Prime MB, Shevitz DW (1996) Damage Identification and Health Monitoring of Structural and Mechanical Systems From Changes in Their Vibration Characteristics: A Literature Review. Los Alamos National Laboratory Report LA-13070-MS

    Google Scholar 

  • Ewins DJ (1986) Modal Testing: Theory and Practice. Research Studies Press, Letchworth

    Google Scholar 

  • Fasel TR, Sohn H, Park G, Farrar CR (2003) Application of Frequency Domain ARX Models and Extreme Value Statistics to Impedance-based Damage Detection. Am Soc of Mech Eng, Aerosp Div (Publication) AD, 68:289–297

    Google Scholar 

  • Friswell MI, Mottershead JE (1995) Finite Element Model Updating in Structural Dynamics, Kluwer Academic Publishers, Norwell

    MATH  Google Scholar 

  • Gidudu A, Hulley G, Marwala T (2007) Image Classification Using SVMs: One-against-one vs One-against-all. In: Proc of the 28th Asian Conf on Remote Sens:CD-ROM

    Google Scholar 

  • Goh C, Law R (2003) Incorporating the Rough Sets Theory into Travel Demand Analysis. Tour Manage 24:511–517

    Article  Google Scholar 

  • Gökdaǧ H, Kopmaz O (2009) A New Damage Detection Approach for Beam-type Structures Based on the Combination of Continuous and Discrete Wavelet Transforms. J of Sound and Vib 324:1158–1180

    Article  Google Scholar 

  • Gunn SR (1997) Support Vector Machines for Classification and Regression. Technical Report, Image Speech and Intell Syst Res Group, University of Southampton

    Google Scholar 

  • Haryanto I, Setiawan JD, Budiyono A (2009) Structural Damage Detection Using Randomized Trained Neural Networks. Studies in Comput Intell 192:245–255

    Article  Google Scholar 

  • He H, Yan W (2007) Application of Wavelet Support Vector Machine to Structural Damage Detection. J of Vib, Measur and Diag 27:53–57

    Google Scholar 

  • Hu SS, Xu DY, Liu Y (2003) Damage Fault Detection of Fighter Based on Rough Set Model. Contr Theor and Appl 20:943

    Google Scholar 

  • Huang Y, Meyer D, Nemat-Nasser S (2009) Damage Detection with Spatially Distributed 2D Continuous Wavelet Transform. Mech of Mater 41:1096–1107

    Article  Google Scholar 

  • Jaishi B, Ren WX (2006) Damage Detection by Finite Element Model Updating Using Modal Flexibility Residual. J of Sound and Vib 290:369–387

    Article  Google Scholar 

  • Jayadeva RK, Chandra S (2009) Regularized Least Squares Fuzzy Support Vector Regression for Financial Time Series Forecasting. Expert Syst with Appl 36:132–138

    Article  Google Scholar 

  • Jian-Hua D, Zhiwei O, Yangdong Z (2009) Damage Identification Method with Structural Frequency Data from Modal Test. Komunikacie 11:50–54

    Google Scholar 

  • Jiang SF, Zhang S (2008) Data-fusion Damage Detection Approach Based on Probabilistic Neural Network Classifier. Chinese J of Comput Mech 25:700–705

    Google Scholar 

  • Jiang X, Mahadevan S, Guratzsch R (2009) Bayesian Wavelet Methodology for Damage Detection of Thermal Protection System Panels. AIAA J 47:942–952

    Article  Google Scholar 

  • Komorowski J, Pawlak Z, Polkowski L, Skowron A (1999) A Rough Set Perspective on Data and Knowledge. The Handbook of Data Mining and Knowledge Discovery, Oxford University Press, London

    Google Scholar 

  • Kondo M (2006) On the Structure of Generalized Rough Sets. Info Sci 176:589–600

    Article  MATH  MathSciNet  Google Scholar 

  • Lagazio M, Marwala T (2005) Assessing Different Bayesian Neural Network Models for Militarized Interstate Dispute. Social Sci Comput Rev:1–12

    Google Scholar 

  • Lee J, Kim S (2007) Structural Damage Detection in the Frequency Domain Using Neural Networks. J of Intell Mater Syst and Struct 18:785–792

    Article  Google Scholar 

  • Lew J, Sathananthan S, Gu Y (1997) Comparison of Damage Detection Algorithms Using Time Domain Data. In: Proc of the Intl Modal Anal Conf – IMAC, 1:645–651

    Google Scholar 

  • Li H, Wang J, James Hu SL (2008) Using Incomplete Modal Data for Damage Detection in Offshore Jacket Structures. Ocean Eng 35:1793–1799

    Article  Google Scholar 

  • Li Y, Jiang DS, Luo P, Wang LX (2006) Structural Damage Detection Using Rough Set Theory. J of Wuhan Univ of Technol 28:90–93

    Google Scholar 

  • Lin MW, Abatan AO, Zhang W (1999) Crack Damage Detection of Concrete Structures Using Distributed Electrical Time Domain Reflectometry (ETDR) Sensors. In: Proc of SPIE - The Intl Soc for Optic Eng 3671:297–304

    Google Scholar 

  • Lin MW, Abatan AO, Zhang W (1998) Crack Damage Detection of Structures Using Distributed Electrical Time Domain Reflectometry (ETDR) Sensors. In: Proc of SPIE - The Intl Soc for Optic Eng 3325:173–180

    Google Scholar 

  • Long W, Rice RW (2008) Detection of Structural Damage in Medium Density Fiberboard Panels Using Neural Network Method. J of Compos Mater 42:1133–1145

    Article  Google Scholar 

  • Lopez III FP, Zimmerman DC (2002) Nonlinear Damage Detection Using a Time-domain Minimum Rank Perturbation Theory. In: Proc of SPIE - The Intl Soc for Optic Eng 4702:179–190

    Google Scholar 

  • Marwala T (2000) On Damage Identification Using a Committee of Neural Networks. J of Eng Mech 126:43–50

    Article  Google Scholar 

  • Marwala T (2001a) Fault Identification Using Pseudomodal Energies and Modal Properties. AIAA J 39:1608–1617

    Article  Google Scholar 

  • Marwala T (2001b) Probabilistic Fault Identification Using Vibration Data and Neural Networks. Mech Syst and Signal Process 15:1109–1128

    Article  Google Scholar 

  • Marwala T (2002) Finite Element Updating Using Wavelet Data and Genetic Algorithm. J of Aircr 39:709–711

    Article  Google Scholar 

  • Marwala T (2003) Fault Classification Using Pseudomodal Energies and Neural Networks. AIAA J 41:82–89

    Article  Google Scholar 

  • Marwala T (2004) Fault Classification Using Pseudomodal Energies and Probabilistic Neural Networks. J of Eng Mech 130:1346–1355

    Article  Google Scholar 

  • Marwala T, Heyns PS (1998) Multiple Criterion Method for Determining Structural Damage. AIAA J 36:1494–501

    Article  Google Scholar 

  • Marwala T, Hunt HEM (2000) Is Damage Identification Using Vibration Data in a Population of Cylinders Feasible? J of Sound and Vib 237:727–732

    Article  Google Scholar 

  • Marwala T, Sibisi S (2005) Finite Element Model Updating Using Bayesian Framework and Modal Properties. J of Aircr 42:275–278

    Article  Google Scholar 

  • Majumder L, Manohar CS (2003) A Time-domain Approach for Damage Detection in Beam Structures Using Vibration Data with a Moving Oscillator as an Excitation Source. J of Sound and Vib 268:699–716

    Article  Google Scholar 

  • Mehrjoo M, Khaji N, Moharrami H, Bahreininejad A (2008) Damage Detection of Truss Bridge Joints Using Artificial Neural Networks. Expert Syst with Appl 35:1122–1131 Finite-element-model Updating Applied Damage Detectionfor

    Article  Google Scholar 

  • Mita A, Taniguchi R (2004) Active Damage Detection Method Using Support Vector Machine and Amplitude Modulation. In: Proc of SPIE–The Intl Soc for Optic Eng, 5391:21–29

    Google Scholar 

  • Mohamed N, Rubin DM, Marwala T (2005) Detection of Epileptiform Activity in Human EEG Signals Using Bayesian Neural Networks. In: Proc of the IEEE 3rd Intl Conf on Comput Cybern:231–237

    Google Scholar 

  • Mordini A, Savov K, Wenzel H (2008) Damage Detection on Stay Cables Using an Open Source-based Framework for Finite Element Model Updating. Struct Health Monit 7:91–102

    Article  Google Scholar 

  • Nelwamondo FV, Marwala T (2006) Fault Detection Using Gaussian Mixture Models, Melfrequency Ceptral Coefficient and Kurtosis. In: Proc of the IEEE Intl Conf on Syst, Man and Cybern:290–295

    Google Scholar 

  • Niu L (2009) A Time-delay Neural Networks Architecture for Structural Damage Detection. In: Proc of the Intl Conf on Adv Comput Contr:571–575

    Google Scholar 

  • Nosenzo G, Whelan MP, Dalton T (2003) Damage Detection in Composite Structures Based on Optical Fibre Strain Sensing and Finite Element Model Updating. Key Eng Mater 245-346:509–516

    Article  Google Scholar 

  • Pakrashi V, O'Connor, A, Basut B (2009) A Comparative Analysis of Structural Damage Detection Techniques by Wavelet, Kurtosis and Pseudofractal Methods. Struct Eng and Mech 32:489–500

    Google Scholar 

  • Park JH, Kim JT, Hong DS, Ho DD, Yi JH (2009) Sequential Damage Detection Approaches for Beams Using Time-modal Features and Artificial Neural Networks. J of Sound and Vib 323:451–474

    Article  Google Scholar 

  • Patel P, Marwala T (2006) Neural Networks, Fuzzy Inference Systems and Adaptive-Neuro Fuzzy Inference Systems for Financial Decision Making. Lect Notes in Comput Sci 4234:430–439

    Google Scholar 

  • Pawar PM, Jung SN (2008) Support Vector Machine Based Online Composite Helicopter Rotor Blade Damage Detection System. J of Intell Mater Syst and Struct 19:1217–1228

    Article  Google Scholar 

  • Pawlak Z (1991) Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht

    MATH  Google Scholar 

  • Pires MM, Marwala T (2004) Option Pricing Using Neural Networks and Support Vector Machines. In: Proc of the IEEE Intl Conf on Syst, Man and Cybern:1279–1285

    Google Scholar 

  • Qu W, Peng Q (2007) Damage Detection Method for Vertical Bars of Mast Structure in Time Domain. Earthq Eng and Eng Vib 27:110–116

    Google Scholar 

  • Rosero J, Romeral L, Rosero E, Urresty J (2009) Fault Detection in Dynamic Conditions by Means of Discrete Wavelet Decomposition for PMSM Running Under Bearing Damage. In: Proc of the IEEE Applied Power Electronics Conf and Expo:951–956

    Google Scholar 

  • Sawyer JP, Rao SS (2000) Structural Damage Detection and Identification Using Fuzzy Logic. AIAA J 38:2328–2335

    Article  Google Scholar 

  • Sazonov ES, Klinkhachorn P, Gangarao HVS, Halabe UB (2002) Fuzzy Logic Expert System for Automated Damage Detection from Changes in Strain Energy Mode Shapes. Nondestr Test and Eval 18:1–20

    Article  Google Scholar 

  • Seker S, Güllülü AE (2008) Transfer Function Approach Based Upon Wavelet Transform for Bearing Damage Detection in Electric Motors. In: Proc of the IEEE Intl Symp on Indust Electr:749–752

    Google Scholar 

  • Sekine H, Watanabe M (2008) Damage Detection of Truss Structures Using a Neural Network with Relearning Process. Trans of the Japan Soc of Mech Eng, Part A, 74:506–512

    Google Scholar 

  • Shahdin A, Mezeix L, Bouvet C, Morlier J, Gourinat Y (2009) Monitoring the Effects of Impact Damages on Modal Parameters in Carbon Fiber Entangled Sandwich Beams. Eng Struct 31:2833–2841

    Article  Google Scholar 

  • Shimada M, Mita A, Feng MQ (2006) Damage Detection of Structures Using Support Vector Machines Under Various Boundary Conditions. In: Proc of SPIE – The Intl Soc for Optic Eng, 6174 II:Art No 61742K

    Google Scholar 

  • Song H, Zhong L, Han B (2005) Structural Damage Detection by Integrating Independent Component Analysis and Support Vector Machine. Lect Notes in Comput Sci:670–677

    Google Scholar 

  • Sorohan Åžt (2004) Finite Element Model Updating and Damage Detection on a Truss Structure. UPB Sci Bullet, Ser D: Mech Eng 66:47–62

    Google Scholar 

  • Teughels A, De Roeck G (2005) Damage Detection and Parameter Identification by Finite Element Model Updating. Arch of Comput Methods in Eng 12:123–164

    Article  MATH  Google Scholar 

  • Trickey S, Todd M, Seaver M, Nichols J (2002) Geometric Time Domain Methods of Vibration Based Damage Detection. In: Proc of SPIE – The Intl Soc for Optic Eng 4702:113–121

    Google Scholar 

  • Vapnik V (1998) Statistical Learning Theory. Wiley-Interscience, New York

    MATH  Google Scholar 

  • Vilakazi B, Marwala T (2007) Incremental Learning and Its Application to Bushing Condition Monitoring. Lect Notes in Comput Sci 4491:1241–1250

    Google Scholar 

  • Wu JR, Li QS (2006) Structural Parameter Identification and Damage Detection for a Steel Structure Using a Two-stage Finite Element Model Updating Method. J of Construct Steel Res 62:231–239

    Article  Google Scholar 

  • Yan G, Duan Z, Ou J, De Stefano A (2010) Structural Damage Detection Using Residual Forces Based on Wavelet Transform. Mech Syst and Signal Process 24:224–239

    Article  Google Scholar 

  • Yang JM, Hwang CN, Ke CH, Tseng WM (2009) Damage Detection of a Rectangular Plate with Stiffeners by Two-dimensional Discrete Wavelet Transforms. J of Taiwan Soc of Naval Archit and Marin Eng 28:29–40

    Google Scholar 

  • Zadeh LA (1965) Fuzzy Sets. Info and Contr 8:338–353

    Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Information and Control 8:338–353

    Article  MATH  MathSciNet  Google Scholar 

  • Zhang J, Sato T, Iai S (2006) Support Vector Regression for On-line Health Monitoring of Large-scale Structures. Structural Safety 28:392–406

    Article  Google Scholar 

  • Zimin VD, Zimmerman DC (2009) Structural Damage Detection Using Time Domain Periodogram Analysis. Struct Health Monit 8:125–135 Finite-element-model Updating Applied Damage Detectionfor

    Article  Google Scholar 

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(2010). Finite-element-model Updating Applied in Damage Detection. In: Finite-element-model Updating Using Computional Intelligence Techniques. Springer, London. https://doi.org/10.1007/978-1-84996-323-7_11

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  • DOI: https://doi.org/10.1007/978-1-84996-323-7_11

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-322-0

  • Online ISBN: 978-1-84996-323-7

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