Intelligent hybrid fuzzy logic system for damage detection of beam-like structural elements

• Autorzy: Sahu S. , Kumar P. B. , Parhi D. R.

Identyfikatory

DOI

10.15632/jtam-pl.55.2.509

• Języki publikacji: EN

Abstrakty

EN

Fuzzy logic has been used in different research fields for more than three decades. It has become a robust method to solve complex and intricate problems which are otherwise difficult to solve by traditional methods. But it still requires some human experience and knowledge. In the present study, an attempt is made to design a hybrid optimization technique for automatic formation of the fuzzy knowledge based rules using an evolutionary algorithm. This hybridization technique has been applied in the field of damage detection and location of cracks in cracked structural elements. In this paper, a robust fault diagnostic tool based on a differential evolution algorithm and fuzzy logic has been proposed. Theoretical and Finite Element analyzes are done to model the crack and to find the effect of the presence of cracks on changes of vibrational characteristic (natural frequencies) of a fixed-fixed beam. The inputs to DEA-FL system are the first three relative natural frequencies, and the outputs from the system are the relative crack depth and relative crack location. For the validation of the results obtained from the proposed method and to check the robustness of the controller, experimental analysis is performed. To find average error rates, the bootstrap method has been adopted.

Słowa kluczowe

EN

fuzzy logic; differential evolution algorithm; crack; natural frequency

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2017
• Tom: Vol. 55 nr 2
• Strony: 509--521
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Sahu S.

• Department of Mechanical Engineering, Robotics Lab., NIT Rourkela, India

autor

Kumar P. B.

• Department of Mechanical Engineering, Robotics Lab., NIT Rourkela, India

autor

Parhi D. R.

• Department of Mechanical Engineering, Robotics Lab., NIT Rourkela, India

Bibliografia

• 1. Amali S.M.J., Baskar S., 2013, Fuzzy logic-based diversity-controlled self-adaptive differential evolution, Engineering Optimization, 45, 8,899-915
• 2. Caddemi S., Morassi A., 2013, Multi-cracked Euler-Bernoulli beams: mathematical modeling and exact solutions, International Journal of Solids and Structures, 50, 944-956
• 3. Daneshmehr A.R., Nateghi A., Inman D.J., 2013, Free vibration analysis of cracked composite beams subjected to coupled bending-torsion loads based on a first order shear deformation theory, Applied Mathematical Modelling, 1-18
• 4. Dash A.K., Parhi D.R., 2014, Analysis of an intelligent hybrid system for fault diagnosis in cracked structure, Arabian Journal for Science and Engineering, 39, 1337-1357
• 5. Dewhirst O.P., Simpson D.M., Angarita N., Allen R., 2010, Wiener-Hammerstein parameter estimation using differential evolution, International Conference on Bio-inspired Systems and Signal Processing, 271-276
• 6. Ganguli R., 2001, A fuzzy logic system for ground based structural health monitoring of a helicopter rotor using modal data, Journal of Intelligent Material Systems and Structures, 12, 397-407
• 7. Jiao Y.B., Liu H.B., Cheng Y.C., Gong Y.F., 2015, Damage identification of bridge based on Chebyshev polynomial fitting and fuzzy logic without considering baseline model parameters, Shock and Vibration, 1-10
• 8. Khiem N.T., Tran H.T., 2013, A procedure for multiple crack identification in beam-like structures from natural vibration mode, Journal of Vibration and Control, 1-11
• 9. Musmar M.A., Rjoub M.I., Hadi M.A.A., 2014, Nonlinear finite element analysis of shallow reinforced concrete beams using solid 65 element, ARPN Journal of Engineering and Applied Sciences, 9, 2, 85-89
• 10. Neri F., 2008, On memetic differential evolution frameworks: a study of advantages and limitations in hybridization, IEEE, 2135-2142
• 11. Parandaman P., Jayaraman M., 2014, Finite element analysis of reinforced concrete beam retrofitted with different fiber composites, Middle-East Journal of Scientific Research, 22, 7, 948-953
• 12. Parhi D.R., 2005, Navigation of mobile robot using a fuzzy logic controller, Journal of Intelligent and Robotic Systems: Theory and Applications, 42, 3, 253-273
• 13. Pawar R.S., Sawant S.H., 2014, An overview of vibration analysis of cracked cantilever beam with non-linear parameters and harmonic excitations, International Journal of Innovative Technology and Exploring Engineering, 8, 3, 53-55
• 14. Qin A.K., Suganthan P.N., 2005, Self-adaptive differential evolution algorithm for numerical optimization, IEEE Explore 2005, 1785-1791
• 15. Sinha J.K., Friswell M.I., Edwards S., 2002, Simplified models for the location of cracks in beam structures using measured vibration data, Journal of Sound and Vibration, 251, 1, 13-38
• 16. Storn R., Price K., 1997, Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, 11, 341-359
• 17. Tada H., Paris P.C., Irwin G.R., 1973, The Stress Analysis of Cracks Handbook, Del. Research Corporation, Hellertown
• 18. Tang Y., 2012, Parameter estimation of Wiener model using differential evolution algorithm, International Journal of Circuits, Systems and Signal Processing, 6, 5, 315-323
• 19. Thangaraj R., Pant M., Abraham A., Bouvry P., 2010, Particle swarm optimization: hybridization perspectives and experimental illustrations, Applied Mathematics and Computation, 1-19
• 20. Thatoi D.N., Choudhury S., Jena P.K., 2014, Fault diagnosis of beam-like structure using modified fuzzy technique, Advances in Acoustics and Vibration, 1-18
• 21. Xue F., Sanderson A.C., Bonissone P.P., Graves R.J., 2005, Fuzzy logic controlled multiobjective differential evolution, IEEE Conference on Fuzzy Systems, 720-725
• 22. Zadeh L.A., 1965, Fuzzy sets, Information and Control, 8, 338-353

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)