Numerical and experimental assessment of various non-classical methods for parametric identification of nonlinear viscous dampers

ECCOMAS Thematic Conference - COMPDYN 2011: 3rd International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering: An IACM Special Interest Conference, Programme

Volumn , Issue , 2011, Pages

  Avakian, Jennifer ^a   Marano, Giuseppe Carlo ^a   Monti, Giorgio ^b   Quaranta, Giuseppe ^b   Trentadue, F ^a  

^a POLITECNICO DI BARI   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Differential evolution; Genetic algorithm; Parametric identification; Particle swarm optimization; Viscous damper

Indexed keywords

BIOLOGICALLY INSPIRED; COMPARATIVE ANALYSIS; CRITICAL REVIEW; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; ENERGY DISSIPATING; ENGINEERING APPLICATIONS; EXPERIMENTAL ASSESSMENT; EXPERIMENTAL DATA; FRACTIONAL DERIVATIVES; IDENTIFICATION PROBLEM; INDUSTRIAL MACHINES; MECHANICAL BEHAVIOR; MULTI-SPECIES; NOISE ROBUSTNESS; NONLINEAR VISCOUS DAMPERS; NUMERICAL STUDIES; PARAMETRIC IDENTIFICATION; PARTICLE SWARM OPTIMIZATION ALGORITHM; PASSIVE PROTECTION SYSTEMS; SEISMIC PROTECTION; SWARM INTELLIGENCE; TECHNICAL EQUIPMENTS; VISCOUS DAMPERS; VISCOUS FLUIDS; WEAK FORM;

ARTIFICIAL INTELLIGENCE; BIOLOGY; CELLULAR AUTOMATA; CIVIL ENGINEERING; EARTHQUAKES; ENGINEERING GEOLOGY; GENETIC ALGORITHMS; NUMERICAL METHODS; PARAMETRIC DEVICES; PARTICLE SWARM OPTIMIZATION (PSO); SOFT COMPUTING; STRUCTURAL DYNAMICS;

PARAMETER ESTIMATION;

EID: 80054824837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. T.T. Soong, B.F. Spencer Jr, Supplemental energy dissipation: state-of-the-art and state-of-the practice. Engineering Structures, 24, 243-259, 2002.
2. H.B. Yun, F. Tasbighoo, S.F. Masri, J.P. Caffrey, R.W. Wolfe, N. Makris, C. Black, Comparison of Modeling Approaches for Full-scale Nonlinear Viscous Dampers. Journal of Vibration and Control, 14, 51-76, 2008.
3. C.G. Koh, Y.F. Chen, C.Y. Liaw, A hybrid computational strategy for identification of structural parameters. Computers and Structures, 81, 107-117, 2003.
4. G. Terenzi, Dynamics of SDOF Systems with Nonlinear Viscous Damping. Journal of Engineering Mechanics, 125, 956-963, 1999.
5. A. Della Valle, Sulla progettazione in zona sismica di strutture dotate di dissipatori flui-do-viscosi. Ph. D. Thesis, 2008 (in Italian).
6. R. Storn, K. Price, Differential evolution - A simple and efficient heuristic for global optimization over continuous space. Journal of Global Optimization, 4, 359-431, 1997.
7. G. Quaranta, G. Monti, G.C. Marano, Parameters identification of Van der Pol-Duffing oscillators via particle swarm optimization and differential evolution. Mechanical Sys-tems and Signal Processing, 24, 2076-2095, 2010.
8. L.S. Coelho, A quantum particle swarm optimizer with chaotic mutation operator. Cha-os, Solitons and Fractals, 37, 1409-1418, 2008.
9. Y. Shi, R. Eberhart, A modified particle swarm optimizer. IEEE World Congress on Computational Intelligence, Anchorage, AK, USA, May 4-9, 1998.
10. M. Clerc, The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. Proceedings of the congress on evolutionary computation (CEC 1999), Washington DC, USA, July 6-9, 1999.
11. Y. Shi, R. Eberhart, Empirical study of particle swarm optimization, Congress on evolutionary computation (CEC 1999), Washington DC, USA, July 6-9, 1999.
12. A. Ratnaweera, S.K. Halgamuge, H.C. Watson, Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients. IEEE Transactions on Evolutionary Computation, 8, 240-255, 2004.
13. J. Chuanwen, E. Bompard, A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimisation. Mathematics and Computers in Simulation, 68, 57-65, 2005.
14. L.S. Coelho, B.M. Herrera, Fuzzy Identification Based on a Chaotic Particle Swarm Optimization Approach Applied to a Nonlinear Yo-yo Motion System. IEEE Transac-tions on Industrial Electronics, 54, 3234-3245, 2007.
15. S. He, Q.H. Wu, J.Y. Wen, J.R. Saunders, R.C. Paton, A particle swarm optimizer with passive congregation. Biosystems, 78, 135-47, 2004.
16. G.C. Marano, G. Quaranta, G. Monti, Genetic Algorithms in Mechanical Systems Identification: State-of-the-art Review, in Soft Computing in Civil and Structural Engineering (Chapter 2), B.H.V. Topping and Y. Tsompanakis, Eds., Stirlingshire (Scotland): Saxe-Coburg Publications, 2009.
17. G. Monti, G. Quaranta, G.C. Marano, Genetic-algorithm-based strategies for dynamic identification of nonlinear systems with noise corrupted response, Journal of Computing in Civil Engineering, 24, 173-187, 2010.
18. G.C. Marano, G. Quaranta, G. Monti, Modified Genetic Algorithm for the Dynamic Identification of Structural Systems Using Incomplete Measurements. Computer Aided Civil and Infrastructure Engineering, article in press, 2010.
19. Norme Tecniche per le Costruzioni, D.M. 14 gennaio 2008, G.U. n. 29, 4 febbraio, n. 30, 2008.