Model and methods of analysis of software systems that provide recommendations for reducing the time of research

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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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作者简介

Ilya Kharin

National Research University “Moscow Power Engineering Institute” (MPEI)

编辑信件的主要联系方式.
Email: xarin.ilya@bk.ru
ORCID iD: 0009-0001-8627-2829
SPIN 代码: 4523-4235

postgraduate, Department of Computing Machines, Systems and Networks

俄罗斯联邦, Moscow

Marina Raskatova

National Research University “Moscow Power Engineering Institute” (MPEI)

Email: marvp@yandex.ru
ORCID iD: 0000-0001-7671-3312
SPIN 代码: 8053-5041

Cand. Sci. (Eng.), Associate Professor; Department of Computing Machines, Systems and Networks

俄罗斯联邦, Moscow

参考

  1. Karkle P.G. Aeroelasticity. Moscow: Innovative Machine Engineering, 2019. Pp. 7–194.
  2. Garifullin M.F. Numerical methods in computational and experimental studies of non-stationary aeroelastic phenomena. Moscow: Nauka, 2016. 351 p.
  3. Parafes S.G., Smyslov V.I. Design of structures and control systems for UAVs considering aeroelasticity. Moscow: Tekhnosfera, 2018. 181 p.
  4. Ewins D.J. Modal testing: Theory, practice and applications. 2 ed. Baldock, Hertfordshire, England: Research Studies Press Ltd., 2000. 563 с.
  5. Bryantsev B.D. Investigation of flutter based on frequency tests in subcritical regimes. Scientific Notes of TsAGI. 1984. Vol. XV. No. 2. Pp. 100–108. (In Rus.)
  6. Gudilin A.V., Evseev D.D., Ishmuratov F.Z. et al. A complex of programs for aeroelastic strength design of the aircraft ARGON. Scientific Notes of TsAGI. 1991. Vol. XXII. No. 5. Pp. 89–101. (In Rus.)
  7. Ishmuratov F.Z., Kuzmina S.I., Mosunov V.A. Computational studies of transonic flutter. Scientific Notes of TsAGI. 1999. Vol. XXX. No. 3-4. (In Rus.)

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1. JATS XML
2. Fig. 1. Generalized Model of Processes and Systems for Flutter

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3. Fig. 2. Force as a Random Process

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4. Fig. 3. Force as a Sine Wave Expansion

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5. Fig. 4. Representation of vectors on the complex plane [1: 461]: a – position of vectors near resonance; b – position of vectors at resonance

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