Postprocessing and reliability evaluation of the one-dimensional numerical simulation results in mechanical problems

• Autorzy: Wojtas J.

Identyfikatory

DOI

10.24423/cames.228

• Języki publikacji: EN

Abstrakty

EN

The work addresses extended formulation of a new approach proposed to control numerical data error. It includes: development of postprocessing techniques for approximation of data given in a discrete form and estimation (evaluation) of this data a posteriori error and the reliability index. Theoretical consideration and numerical analysis are based on the Adaptive Meshless Finite Difference (MFDM) approach.

Słowa kluczowe

EN

meshless FDM; experimental data approximation; experimental data smoothing; posteriori error estimation of experimental data

PL

bezsiatkowa MRS; aproksymacja danych doświadczalnych; wygładzanie danych doświadczalnych; oszacownie błędu pasteriori

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2018
• Tom: Vol. 25, no. 1
• Strony: 59--68
• Opis fizyczny: Bibliogr. 8 poz., wykr.

Twórcy

autor

Wojtas J.

• Institute of Computer Science Faculty of Physics, Mathematics and Computer Science Cracow University of Technology Warszawska 24, 31-155 Kraków, Poland

Bibliografia

• [1] 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, H.D. Bui [Eds.],Inverse Problems in Engineering Mechanics. International Union of Theoretical and Applied Mechanics. Springer, Berlin, Heidelberg, 1993.
• [2] J. Krok. An extended approach to error control in experimental and numerical data smoothing and evaluation using the meshless FDM. Revue Européenne des Éléments Finis, 7–8: 913–935, 2002.
• [3] J. Krok, M. Stanuszek, J. Wojtas. A procedure for adaptive evaluation of numerical and experimental data. In: Proceedings of the 14th International Conference on Computational Methods and Experimental Measurements,2009 Algarve, Portugal, WIT Transactions on Modelling and Simulation, 48: 25–36, 2009.
• [4] J. Krok, J. Wojtas. An adaptive approach to experimental data collection based on a posteriori error estimation of data. In: Comp. Meth. in Mechanics – CMM-2007, June 2007, Spała–Łódź, Poland, pp. 1–13, 2007.
• [5] J. Krok, J. Wojtas. Estimation of a posteriori errors and density of experimental and numerical data points. Technical Transactions, 104(1): 81–103, 2007.
• [6] S.A. Łukasiewicz, M. Stanuszek, J.A. Czyż. Filtering of the experimental or FEM data in plane stress and strainfields. Experimental Mechanics, June 1993, pp. 139–147, 1993.
• [7] S.A. Łukaszewicz, M. Stanuszek. Constrained, weighted, least square technique for correcting experimental data. In: 6th Int. Conf. on Comp. Methods and Experimental Measurements 93, Vol 2: Stress analysis, pp. 467–480, Elsevier Applied Science, London New York, 1993.
• [8] J. Magiera. Non-statistical physically reasonable technique fora posteriori estimation of experimental data error. Computer Assisted Mechanics and Engineering Sciences, 13: 593–611, 2006.