Abstract
Non-determinism in structural mechanics is ubiquitious. Whenever a mathematical model of a real world engineering system is developed, simplification techniques are employed which lead to systematic errors in the modeling procedure. The fuzzy arithmetical approach which is presented in this chapter is designed to handle epistemic uncertainties, as those systematic errors are also termed, in numerical simulations by the use of fuzzy numbers. The approach consists of the transformation method which is designed to compute fuzzy-valued output quantities and an inverse fuzzy arithmetical method which additionally determines the fuzzy-valued model parameters on the basis of measurement data in a second step. Additionally, a kind of a sensitivity analysis is provided along with a criterion to assess the quality of different competing mathematical models.
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Bibliography
C. B. Barber, D. P. Dobkin, and H. T. Huhdanpaa. The Quickhull Algorithm for Convex Hulls. ACM Transactions on Mathematical Software, 22(4):469–483, 1996.
F. Fleissner, T. Haag, M. Hanss, and P. Eberhard. Uncertainty Analysis for a Particle Model of Granular Chute Flow. Computer Modeling in Engineering & Sciences, 52(2):181–196, 2009a.
F. Fleissner, T. Haag, M. Hanss, and P. Eberhard. Analysis of Granular Chute Flow Based on a Particle Model Including Uncertainties. In Proceedings of the 1st International Conference on Computational Contact Mechanics (ECCOMAS), Lecce, Italy, 2009b.
P. E. Gill, W. Murray, M. A. Saunders, and M. H. Wright. Procedures for Optimization Problems with a Mixture of Bounds and General Linear Constraints. ACM Transactions on Mathematical Software, 10:282–298, 1984.
P. E. Gill, W. Murray, and M. H. Wright. Numerical Linear Algebra and Optimization, Vol. 1. Addison Wesley, 1991.
T. Haag and M. Hanss. Inverse Fuzzy Arithmetic for the Identification of Simplified Friction Models. In IV European Conference on Computational Mechanics — ECCM 2010, Paris, France, 2010a.
T. Haag and M. Hanss. Model assessment using inverse fuzzy arithmetic. In Proc. of the IPMU 2010, Dortmund, Germany, 2010b.
T. Haag and M. Hanss. An Inverse Fuzzy-Arithmetical Method for the Validation, Selection and Optimization of Models for Mechanical Systems. In Proc. of the ISMA 2010, Leuven, Belgium, 2010c.
T. Haag, P. Reuß, and M. Hanss. An Approach to the Identification of Uncertain Surrogate Models for Complex Systems. In R. Hoffmann and E. Hüllermeier, editors, Proc. of the 19th Workshop Computational Intelligence, pages 50–60, Dortmund, Germany, 2009a.
T. Haag, P. Reuß, S. Turrin, and M. Hanss. An inverse model updating procedure for systems with epistemic uncertainties. In Proc. of the 2nd International Conference on Uncertainty in Structural Dynamics, pages 116–125, Sheffield, UK, 2009b.
T. Haag, J. Herrmann, and M. Hanss. Identification procedure for epistemic uncertainties using inverse fuzzy arithmetic: Special issue: Isma 2010. Mechanical Systems and Signal Processing, 24(7):2021–2034, 2010.
T. Haag, S. Carvajal Gonzalez, and M. Hanss. Model validation and selection based on inverse fuzzy arithmetic. Mechanical Systems and Signal Processing, 2011. Accepted.
M. Hanss. The transformation method for the simulation and analysis of systems with uncertain parameters. Fuzzy Sets and Systems, 130(3): 277–289, 2002.
M. Hanss. An approach to inverse fuzzy arithmetic. In Proc. of the 22nd International Conference of the North American Fuzzy Information Processing Society — NAFIPS 2003, pages 474–479, Chicago, IL, USA, 2003a.
M. Hanss. The extended transformation method for the simulation and analysis of fuzzy-parameterized models. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(6):711–727, 2003b.
M. Hanss. Applied Fuzzy Arithmetic-An Introduction with Engineering Applications. Springer-Verlag, Berlin, New York, 2005. ISBN 3540242015.
M. Hanss and S. Turrin. A fuzzy-based approach to comprehensive modeling and analysis of systems with epistemic uncertainties. Structural Safety, 32(6):433–441, 2010.
M. Hanss, J. Herrmann, and T. Haag. Vibration analysis of fluid-filled piping systems with epistemic uncertainties. In A. K. Belyaev and R. S. Langley, editors, IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties, volume 27 of IUTAM Bookseries, pages 43–56. Springer Netherlands, 2011. ISBN 978-94-007-0289-9.
W. L. Oberkampf, S. M. DeLand, B. M. Rutherford, K. V. Diegert, and K. F. Alvin. Error and uncertainty in modeling and simulation. Reliability Engineering & System Safety, 75(3):333–357, 2002. ISSN 0951-8320.
A. Pratellesi, S. Turrin, T. Haag, A. Scippa, and N. Baldanzini. On the effect of testing uncertainties in the homologation tests of motorcycle helmets according to ece 22.05. International Journal of Crashworthiness, 2011. Accepted.
S. Turrin, M. Hanss, and A. P. S. Selvadurai. An Approach to Uncertainty Analysis of Rockfall Simulation. Computer Modeling in Engineering & Sciences, 52(3):237–258, 2009.
S. Turrin, T. Haag, and M. Hanss. A Fuzzy Arithmetical Approach to the Quantification of Nonlinearity. In Proc. of the 8th International Conference on Structural Dynamics, Leuven, Belgium, 2011.
L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning-i. Information Sciences, 8(3):199–249, 1975a.
L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning-ii. Information Sciences, 8(4):301–357, 1975b.
L. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning-iii. Information Sciences, 9(1):43–80, 1975c.
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Haag, T., Hanss, M. (2012). Comprehensive Modeling of Uncertain Systems Using Fuzzy Set Theory. In: Elishakoff, I., Soize, C. (eds) Nondeterministic Mechanics. CISM Courses and Lectures, vol 539. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1306-6_4
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DOI: https://doi.org/10.1007/978-3-7091-1306-6_4
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