The use of computer simulations in the analysis of physical phenomena models

• Autorzy: Dziurdź Jacek
• Języki publikacji: EN

Abstrakty

EN

Tests of the technical condition of machines sometimes involve the analysis of dynamic phenomena associated with their work. The simplest methods are based on basic measurements, e.g. effective velocities and body vibration accelerations as well as sound pressure levels recorded in close vicinity of the tested object. For analysis, more advanced techniques use signals recorded in a certain period of time representing the studied phenomena. The development of computer techniques has enabled a relatively convenient modelling of technical objects. A well-identified model allows to extend research on real objects to include comprehensive computer analyses, thanks to which we can reduce time-consuming measurements or perform analyses for excitations which are difficult to perform at a test stand. Another application of a model is to generate signals, on the basis of which we can choose parameters of analysis methods to increase the effectiveness of diagnosis or test new analysis and inference algorithms. Several presented examples were implemented in the Matlab Simulink environment. Because the presented methods are universal, they can be used to analyze any physical phenomena described with more or less complicated models.

Słowa kluczowe

EN

dynamic models; simulation; signal analysis

PL

modele dynamiczne; symulacja; analiza sygnałów

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2019
• Tom: Vol. 30, nr 2
• Strony: art. no. 2019219
• Opis fizyczny: Bibliogr. 8 poz., 1 il. kolor., wykr.

Twórcy

autor

Dziurdź Jacek

• Institute of Machine Design Fundamentals, Warsaw University of Technology, 84 Narbutta str., 02-524 Warsaw

Bibliografia

• 1. A. Rauh, L. Senkel, H. Aschemann, Verified Parameter Identification for Dynamic Systems with Non-Smooth Right-Hand Sides, M. Nehmeier, J. Wolff von Gudenberg, W. Tucker (eds), Scientific Computing, Computer Arithmetic, and Validated Numerics, SCAN 2015, Lecture Notes in Computer Science, Springer, Cham, 9553 (2016) 236 - 246.
• 2. A. Marciniak, B. Szyszka, Interval Runge-Kutta Methods with Variable Step Sizes, Computational Methods in Science and Technology, 25 (2019) 17 - 30.
• 3. R. B. Randall, Frequency Analysis, Brüel&Kjær 1987.
• 4. J. S. Bendat, A. G. Piersol, Random data: Analysis and measurement procedures, John Wiley, New York 2010.
• 5. R. Makert, G. Alves, Between Designer and Design: Parametric Design and Prototyping Considerations on Gaudí’s Sagrada Familia, Periodica Polytechnica Architecture, 47(2) (2016) 89 - 93.
• 6. B. Chatterji, Analog Computer Simulation, IETE Journal of Education, 34 (2015) 27 - 38.
• 7. J. Dziurdź, R. Pakowski, Analysis of Action Viscous Torsional Vibration Damper of the Crankshaft Based on Transverse Vibration the Engine Block, Solid State Phenomena, 236 (2015) 145 - 152.
• 8. Z. Dąbrowski, P. Deuszkiewicz, J. Dziurdź, Modelling of Composite Elements of Power Transmission Systems Considering Nonlinear Material Characteristics, Journal of Machine Construction and Maintenance, 3 (2018) 87 - 94.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).