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Tytuł artykułu

Non-statistical physically reasonable technique for a posteriori estimation of experimental data error

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
Polish Conference on Computer Methods in Mechanics (16 ; 21-24.06.2005 ; Częstochowa, Poland
Języki publikacji
EN
Abstrakty
EN
In the paper presented is an application of the physically based global method (PBGM) to a posteriori estimation of experimental data error. It is proposed here to build data error measures by spanning a high ąuality physically reasonable smoothing fit to data and treat it as a reference field for error estimation in a very similar way it is done in the postprocessing type error estimates used widely in FE or meshless methods, where the higher order (superconvergent) solutions are used for building error estimates (post-processing type of error estimators). The new techniąue is different from classical methods of experimental data error estimation as it provides non-statistical estimates of the data error and as such it may be applied to a wider rangę of problems, including cases when only a single data set is available (e.g., destructive testing). And because the new approach builds the estimates while performing its standard physically based global-type approximation, it fully integrates other features of the PBGM approach like data interpolation, extrapolation or differentiation. In the paper the whole PBGM approach is presented, including the concept of the method formulated for the case of analysis of residual stress in railroad rails, discretisation with MFDM, then several PBGM a posteriori error estimates are introduced and results for test problems (benchmark and actual data) are shown.
Rocznik
Strony
593--611
Opis fizyczny
Bibliogr. 15 poz., rys., wykr.
Twórcy
autor
  • Institute for Computational Civil Engineering, Cracow University of Technology ul. Warszawska 2A, 31-155 Kraków, Poland
Bibliografia
  • [1] M. Ainsworth, J.T. Oden. A posteriori error estimation in Finite Element Analysis. Comput. Meth. Appl. Mech. Engrg., 142: 1-88, 1997.
  • [2] S. Brandt. Data Analysis. Statistical and Computational Methods for Scientists and Engineers. Springer-Verlag, New York, 1999.
  • [3] T. Gnaupel-Herold, P.C. Brand, H.J. Prask. Neutron Diffraction Investigation of Residual Stresses in Transverse/Oblique Rail Slices subjected to Different Grinding Strategies. Final Report to the US DOT, VNTSC, Gaithersburg, MD, 1998.
  • [4] J.J. Groom. Determination of Residual Stresses in Rails. Final Report to the US DOT No. DOT/FRA/ORD-83/05, Columbus, OH, 1983.
  • [5] W. Karmowski. Global-local approximation and its application in experimental mechanics. Proceedings SPIE, The International Society for Optical Engineering, 2342: 135-141, 1994.
  • [6] W. Karmowski, J. Orkisz. Fitting of curves and surfaces based on interaction of physical relations and experimental data. Applied Mathematical Modelling, 7: 65-69, 1983.
  • [7] W. Karmowski, J. Orkisz. Physically based method of enhancement of experimental data - concepts, formulation and application to identification of residual stresses. In: M. Tanaka (ed.), Proceedings of the IUTAM Symposium on Inverse Problems in Engineering Mechanics, 61-70. Springer-Verlag, 1993.
  • [8] D. Kelly, J.D.S. Gago, O.C. Zienkiewicz, I. Babuska. A posteriori error analysis and adaptive processes in the Finite element method. Part I - error analysis. Int. J. Num. Meth. Engrg., 19: 1596-1619, 1983.
  • [9] P. Lancaster, K. Salkauskas. Curve and Surface Fitting. Academic Press, Calgary, 1990
  • [10] J. Magiera. Hybrid Experimental and Numerical Analysis of Residual Stresses in Railroad Rails. PhD dissertation, Cracow University of Technology, Cracow, 2001.
  • [11] J. Magiera. Further development of the global approach to the physically based approximation technique in experimental analysis of residual stresses, Report to the US DOT, FRA under the DTFR53-95-G-00055 research project Development of advanced methods for the prediction of shakedown stress states and physically based enhancement of experimental data. Cracow University of Technology, Cracow, 2002.
  • [12] J. Magiera. A meshless FDM applied to a posteriori error analysis of experimental data by physically based global method approximation. In K.J. Bathe (ed.), Computational Fluid and Solid Mechanics. Proc. 2nd MIT Conference, 2060-2063. Elsevier, 2003.
  • [13] J. Magiera. Enhanced 3D analysis of residual stress in rails by physically based fit to neutron diffraction data. Wear, 253(1-2): 228-240, 2002.
  • [14] J. Magiera. Physically based MWLS-type approximations in smart smoothing of experimental data. Proc. ICCES 2005, TechScince Press, ISBN 0-9717880-0-6, 308-313, 2005.
  • [15] O.C. Zienkiewicz, R.L. Taylor. The Finite Element Method, Vols. I-III, fifth ed. Butterworth-Heinemann, Oxford, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB2-0025-0062
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