Validation of an experimental technique with the physically based global method

• Autorzy: Magiera J.
• Języki publikacji: EN

Abstrakty

EN

Validation of an experimental approach requires that both m odel and data errors are proved to be within acceptable ranges. In case of destructive testing none of th e classic, statistically based methods can be applied for that task due to the lack of independent data seri es required for building data statistics. The aim of the paper is to present a non-statistical methodology for performing such validation, developed within the framework of physically based approximation (PB A). It has been developed to validate a neutron diffraction based experimental-numerical approac h applied for studying 3D rail residual stress. It is for the PBA technique’s capability to provide high qualit y physically reasonable data fits for one data set only, treated here as higher order reference fields that m ade it possible to develop this methodology and perform error analysis/validation. In many ways this aproach is analogical to Zienkiewicz-Zhu type of error estimators, and its performance will be demonstrated for a defective RE136 rail sample that was installed in a US DOT test track.

Słowa kluczowe

EN

physically based approximation; experimental data error estimation; validation of experimental technique; residual stress in railroad rails; neutronography

PL

aproksymacja fizycznie uzasadniona; szacowanie błędu danych doświadczalnych; walidacja techniki eksperymentalnej; naprężenia szczątkowe w szynach kolejowych; neutronografia

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2012
• Tom: Vol. 19, no. 4
• Strony: 369--382
• Opis fizyczny: Bibliogr. 14 poz., rys., tab., wykr.

Twórcy

autor

Magiera J.

• Cracow University of Technology, Dept. of Civil Engineering Institute for Computational Civil Engineering, Warszawsk a 24, 31-155 Cracow,

Bibliografia

• [1] J. Magiera, J. Orkisz, W. Karmowski. Reconstruction of residual stresses in railroad rails from measurementsmade on vertical and oblique slices. Wear, 191: 78–89, 1996.
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• [3] J.J. Groom. Determination of Residual Stresses in Rails. Final Report for US DOT No. DOT/FRA/ORD–83/05,1983.
• [4] Z. Świderski, A. Wójtowicz. Plans and progress of controlled experiments on rail residual stress using the EMS-60machine. In O. Orringer et al. [Eds.], Residual Stresses in Rails: Effects on Rail Integrity and Railroad Economics,Vol. I, 57–66, Kluwer Acad. Publ., Dordrecht, Boston, London, 1992.
• [5] H. Meier. Eigenspannungen in Eisenbahnschienen. Zeitschrift Vereines Deutscher Ingenieure, 81(12): 362–363,1937.
• [6] J. Magiera. A hybrid experimental-numerical analysis of residual stress in rails. PhD dissertation, Cracow University of Technology, Cracow, 2001.
• [7] J. Magiera. Enhanced 3D Analysis Of Residual Stress In Rails By Physically Based Fit To Neutron DiffractionData. Wear, 253, 228–240, 2002.
• [8] J. Magiera. Enhanced setups for T/O-S experimental scheme. Interim Report, Volpe National TransportationSystems Center, US DOT, Cambridge, MA, 2002.
• [9] W. Karmowski, J. Orkisz. A physically based method of enhancement of experimental data – concepts, formulation and application to identification of residual stresses. In: M. Tanaka, G.S. Dulikravich [Eds.], InverseProblems in Engineering Mechanics. 61–70, Springer Verlag, Tokyo, 1993.
• [10] J. Magiera. A meshless FDM applied to a posteriori error analysis of experimental data by physically based globalmethod approximation. In: K.J. Bathe [Ed.], Computational Fluid and Solid Mechanics, Elsevier, 2060–2063,2003.
• [11] J. Magiera. Physically based MWLS-type approximations in smart smoothing of experimental data. In: S.M.Sivakumar et al. [Eds.], Advances in Computational and Experimental Engineering and Sciences, Tech SciencePress, Chennai, 2005.
• [12] J. Magiera. Non-statistical physically reasonable technique for a posteriori estimation of experimental data error.CAMES, 13: 593–611, 2006.
• [13] W. Karmowski, J. Orkisz. Fitting of curves and surfaces basing on interaction of physical relations and experimental data. Appl. Math. Mod., 7(65): 15–21, 1983.
• [14] J. Deputat, J. Szelążek, M. Adamski. Experiences in ultrasonic measurements of stresses in rails. In J.J. Kalker etal. [Eds.], Rail Quality and Maintenance for Modern Railway Operation, 109–118, Kluwer Acad. Publ., Dordrecht,Boston, London, 1993.