Parametric identification of coefficients for a model of fatigue stiffness degradation of a composite material


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The problem of finding the fatigue characteristics of a composite material based on test results is considered. The results of endurance tests of unidirectional polymer composite materials with different initial stiffness, breaking stress and working cycle stress were used as the initial data. As a mathematical model of stiffness degradation, a nonlinear ordinary differential equation with five unknown parameters is used, reflecting characteristic changes in the properties of the material. It is required to find such parameter values that the solution of the differential equation should describe the available test results with sufficient accuracy. The solution procedure is reduced to the problem of optimizing the objective function, the value of which characterizes the achieved accuracy. As optimization methods, a method simulating the behavior of a flock of moths and a method of sequential reduction of the search set were used. A step-by-step algorithm for finding unknown model parameters is proposed, and numerical results of processing input data containing information on changing the elasticity modulus of the composite material in the course of applying load cycles are presented.

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A. Panteleev

Moscow Aviation Institute (National Research University)

编辑信件的主要联系方式.
Email: avpanteleev@inbox.ru
ORCID iD: 0000-0003-2493-3617

Doctor of Science (Phys. & Math.), Professor, Head of the Department of Mathematics and Cybernetics, Institute of Computer Science and Applied Mathematics

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N. Turbin

Moscow Aviation Institute (National Research University)

Email: turbinnv@mai.ru
ORCID iD: 0000-0002-7264-0694

Leading Engineer, Advanced Engineering School

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I. Nadorov

Moscow Aviation Institute (National Research University)

Email: nnadorovivan@gmail.com
ORCID iD: 0009-0008-2085-2987

Undergraduate Student, Institute of Computer Science and Applied Mathematics

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N. Kononov

Moscow Aviation Institute (National Research University)

Email: nconon@gmail.com
ORCID iD: 0009-0002-2665-4785

Engineer, Advanced Engineering School

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参考

  1. Shokrieh M.M., Lessard L.B. Progressive fatigue damage modeling of composite materials, Part I: Modeling. Journal of Composite Materials. 2000. V. 34, Iss. 13. P. 1056-1080. doi: 10.1177/002199830003401301
  2. Van Paepegem W. Development and finite element implementation of a damage model for fatigue of fibre-reinforced polymers. Ghent University Architectural and Engineering Press, 2002. 395 p.
  3. Turbin N.V., Shelkov K.A. Numerical study of fatigue damage accumulation in composite wing panels of prospective supersonic transport aircraft. Aerospace Systems. 2023. V. 6. P. 481-490. doi: 10.1007/s42401-023-00200-1
  4. Shramko K.K., Kononov N.O., Lutoshkina A.E., Shadrinov A.V. Computational estimate of the initial damage effect on the fatigue strength of composite materials. Journal of Composites Science. 2023. V. 7, Iss. 10. doi: 10.3390/jcs7100438
  5. Brunbauer J., Arbeiter F., Stelzer S., Pinter G. Stiffness based fatigue characterisation of CFRP. Advanced Materials Research. 2014. V. 891-892. P. 166-171. doi: 10.4028/ href='www.scientific.net/AMR.891-892.166' target='_blank'>www.scientific.net/AMR.891-892.166
  6. Panteleev A.V., Kudryavtseva I.A. Chislennye metody. Praktikum: ucheb. posobie [Numerical methods. Workshop]. Мoscow: INFRA-М Publ., 2017. 512 p.
  7. Kireev V.I., Panteleev A.V. Chislennye metody v primerakh i zadachakh [Numerical methods in examples and problems]. St. Petersburg: Lan' Publ., 2015. 448 p.
  8. Mirjalili S. Moth-flame optimization algorithm: A novel nature – inspired heuristic paradigm. Knowledge-Based Systems. 2015. V. 89. P. 228-249. doi: 10.1016/j.knosys.2015.07.006
  9. Panteleev A.V., Skavinskaya D.V. Metaevristicheskie strategii i algoritmy global'noy optimizatsii [Metaheuristic strategies and algorithms of global optimization]. Moscow: Factorial Publ., 2023. 564 p.
  10. Panteleev A.V., Karane M.M.S. Mul'tiagentnye i bioinspirirovannye metody optimizatsii tekhnicheskikh system [Multi-agent and bio-inspired optimization methods for optimizing technical systems]. Мoscow: Dobroe Slovo i Ko Publ., 2024. 336 p.
  11. Whitworth H.A. A stiffness degradation model for composite laminates under fatigue loading. Composite Structures. 1997. V. 40, Iss. 2. P. 95-101. doi: 10.1016/s0263-8223(97)00142-6
  12. Mirzaei A.H., Shokrieh M.M. Progressive fatigue damage modeling of laminated com-posites using strain-based failure criteria. Journal of Composite Materials. 2024. V. 58, Iss. 4. P. 519-531. doi: 10.1177/00219983241227098

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