Model and methods of analysis of software systems that provide recommendations for reducing the time of research
- Authors: Kharin I.A.1, Raskatova M.V.1
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Affiliations:
- National Research University “Moscow Power Engineering Institute” (MPEI)
- Issue: Vol 11, No 4 (2024)
- Pages: 107-113
- Section: MATHEMATICAL AND SOFTWARE OF COMPUTЕRS, COMPLEXES AND COMPUTER NETWORKS
- URL: https://journals.eco-vector.com/2313-223X/article/view/659649
- DOI: https://doi.org/10.33693/2313-223X-2024-11-4-107-113
- EDN: https://elibrary.ru/GJMRUK
- ID: 659649
Cite item
Abstract
A generalized model is proposed, consisting of processes, programs, and computational systems for computational and experimental studies of flutter on a dynamically similar model and the actual structure of an aircraft. The analysis conducted based on this model allowed for the identification of the most time-consuming processes. In the computational studies of flutter, the process of executing the program for calculating aerodynamic forces was highlighted as the most time-consuming component of the complete package for calculating the critical flutter speed. In experimental studies, the process of conducting frequency tests on the actual structure using the traditional step-by-step excitation method with harmonic forces applied to its structure was identified as the most time-consuming. During the experimental studies, the process of conducting frequency tests of full-scale aircraft using a measuring and computing system providing a traditional method of step-by-step excitation of oscillations by harmonic forces with the selection of their amplitudes was identified as the most expensive. When testing dynamically similar models in wind tunnels, in turn, the process of secondary processing of data recorded over communication wires with interference is indicated as the most time-consuming. Significant time expenditures are also noted in the process of exchanging computational and experimental data. Recommendations are given on ways to reduce these time costs, examples of implementations and estimates of their effectiveness are given.
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About the authors
Ilya A. Kharin
National Research University “Moscow Power Engineering Institute” (MPEI)
Author for correspondence.
Email: xarin.ilya@bk.ru
ORCID iD: 0009-0001-8627-2829
SPIN-code: 4523-4235
postgraduate, Department of Computing Machines, Systems and Networks
Russian Federation, MoscowMarina V. Raskatova
National Research University “Moscow Power Engineering Institute” (MPEI)
Email: marvp@yandex.ru
ORCID iD: 0000-0001-7671-3312
SPIN-code: 8053-5041
Cand. Sci. (Eng.), Associate Professor; Department of Computing Machines, Systems and Networks
Russian Federation, MoscowReferences
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