Load Spectrum Analysis with Open Source Software - An Application Example

• Autorzy: Łukasiewicz Marek S.

Identyfikatory

DOI

10.2478/fas-2021-0003

• Języki publikacji: EN

Abstrakty

EN

Processing of digital experimental data has become a key part of virtually every research project. As sensors get both more diverse and cheaper, the amount of information to be handled greatly increases as well. Especially fatigue failure modelling requires by its nature large numbers of samples to be processed, and visualised. The presented paper is based on analysis of load data gathered in flight on an unmanned aircraft. A few versions of an analysis program were developed and considered for the use case. Each implementation included ingesting the data files, creating transfer arrays and the “rain flow counting” algorithm. For the sake of the ease of use and functionality, the version based on Python programming language was selected for presentation. Short development iteration time of this approach allowed gaining new insights by tweaking parameters to better represent actual acquired data. Both the results and the software itself can be easily viewed in a web browser and run with modifications without the need to install any software locally. The developed software is meant as a demonstration of capabilities of open source computation tools dedicated to aerospace and mechanical engineering research, where they remain relatively unpopular.

Słowa kluczowe

EN

load spectrum; rainflow counting; data visualisation

• Wydawca: Wydawnictwa Naukowe Sieci Badawczej Łukasiewicz - Instytutu Lotnictwa
• Czasopismo: Fatigue of Aircraft Structures
• Rocznik: 2021
• Tom: Iss. 13
• Strony: 17--30
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Łukasiewicz Marek S.

• Warsaw University of Technology, Faculty of Power and Aeronautical Engineering, Nowowiejska 24, 00-665 Warsaw, Poland

• https://orcid.org/0000-0002-3034-1709

Bibliografia

• [1] Korczak-Abshire, M., Zmarz, A., Rodzewicz, M. et al., (2019). Study of fauna population changes on Penguin Island and Turret Point Oasis (King George Island, Antarctica) using an unmanned aerial vehicle, Polar Biol., vol. 42, no. 1, pp. 217-224, doi: 10.1007/s00300-018-2379-1.
• [2] Kossira, H. and Reinke, W. (1986). “Entwicklung eines Belastungskollektivs fur Segel-und Motorflugzeuge,” IFL-IB, TU Braunschweig, no. 86-O5.
• [3] Matsuishi, M. and Endo, T. (1968). Fatigue of metals subjected to varying stress, Japan Soc. Mech. Eng. Fukuoka, Japan, vol. 68, no. 2, pp. 37-40.
• [4] Stack Exchange Inc, (2021). Stack Overflow Developer Survey 2021. Retrieved December 1, 2021, from https://insights.stackoverflow.com/survey/2021#technology.
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• [6] Mordvintsev, A., Randazzo, E., Niklasson, E. and Levin, M. (2020). Growing Neural Cellular Automata, Distill, vol. 5, no. 2, doi: 10.23915/distill.00023.
• [7] Harris, C.R., Millman, K.J., van der Walt, S.J. et al., (2020). Array programming with NumPy, Nature, vol. 585, no. 7825, pp. 357-362, doi: 10.1038/s41586-020-2649-2.
• [8] Hunter, J. D. (2007). Matplotlib: A 2D graphics environment, Comput. Sci. Eng., vol. 9, no. 3, pp. 90-95, doi: 10.1109/MCSE.2007.55.
• [9] Miner, M.A. (1945). Cumulative Damage in Fatigue, J. Appl. Mech., vol. 12, no. 3, pp. A159-A164, doi: 10.1115/1.4009458.

Uwagi

1. The author wishes to thank Assoc. Prof. Mirosław Rodzewicz, PhD. Eng. of Aircraft Design Division, Faculty of Power and Aeronautical Engineering for providing the flight data, with permitting its release with a public license and additionally offering helpful advice on writing this paper.

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).