An adaptive Kriging based optimisation algorithm for interval and fuzzy FRF analysis

23rd International Conference on Noise and Vibration Engineering 2008, ISMA 2008

Volumn 7, Issue , 2008, Pages 3767-3776

  De Munck, M ^a   Moens, D ^a   Desmet, W ^a   Vandepitte, D ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COST BENEFIT ANALYSIS; COST REDUCTION; DESIGN; DYNAMIC LOADS; FREQUENCY RESPONSE; GLOBAL OPTIMIZATION; MODAL ANALYSIS; OPTIMIZATION; QUALITY CONTROL;

DETERMINISTIC ANALYSIS; EFFICIENT OPTIMISATION; FREQUENCY-RESPONSE FUNCTIONS; FUZZY FINITE ELEMENT ANALYSIS; FUZZY FINITE ELEMENTS; INTERVAL FINITE ELEMENTS; OPTIMISATION PROCEDURES; STATIC AND DYNAMIC LOADS;

FINITE ELEMENT METHOD;

EID: 84906355623     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. S. Rao and P. Sawyer. Fuzzy finite element approach for the analysis of imprecisely defined systems. AIAA Journal, 33(12):2364-2370, 1995.
2. Z. Qiu and I. Elishakoff. Antioptimization of structures with large uncertain-but-not-random parameters via interval analysis. Computer methods in applied mechanics and engineering, 152:361-372, 1998.
3. M. Hanss. The transformation method for the simulation and analysis of systems with uncertain parameters. Fuzzy Sets and Systems, 130(3):277-289, 2002.
4. David Moens and Dirk Vandepitte. An interval finite element approach for the calculation of envelope frequency response functions. International Journal for Numerical Methods in Engineering, 61(14):2480-2507, 2004.
5. R. Muhanna and R. Mullen. Penalty-based solution for the interval finite-element methods. ASCE Journal of Engineering Mechanics, 131(10):1102-1111, 2005.
6. L. Zadeh. Fuzzy sets. Information and Control, 8(3):338 - 353, 1965.
7. H. De Gersem, D. Moens, W. Desmet, and D. Vandepitte. A fuzzy finite element procedure for the calculation of uncertain frequency response functions of damped structures: Part II - numerical case studies. Journal of Sound and Vibration, 288(3):463-486, 2005.
8. G.E.P. Box and K. B. Wilson. On the experimental attainment of optimum conditions (with discussion). Journal of the Royal Statistical Society Series B, 13(1):1-45, 1951.
9. Douglas C. Montgomery. Design and analysis of experiments. Wiley, New York, 4th edition, 1997.
10. G. I. Schuëller, C. G. Bucher, and H. J. Pradlwarter. Efficient computational procedures for reliability estimates of mdof systems. Journal of Nonlinear Mechanics, 26(6):961-974, 1991.
11. G. I. Schuëller, C.G. Bucher, and H. J. Pradlwarter. The response surface method - an efficient tool to determine the failure probability of large structural systems. In Proceedings of the International Conference on Spacecraft Structures and Mechanical Testing, pages 247-251, Noordwijk, The Netherlands, 1991.
12. Jerome Sacks, William J. Welch, Toby J. Mitchell, and Henry P. Wynn. Design and analysis of computer experiments. Statistical Science, 4(4):409-435, 1989.
13. Jerome Sacks, William J. Welch, Toby J. Mitchell, and Henry P. Wynn. Design and analysis of computer experiments. Statistical Science, 4(4):409-435, 1989.
14. Wim C. M. van Beers and Jack P. C. Kleijnen. Kriging interpolation in simulation: a review. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peters, editors, Proceedings of the 2004 Winter Simulation Conference, pages 113-121, 2004.
15. MSC. Software Corporation. MSC.Nastran Basic Dynamic Analysis User's Guide, 2002.