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Aeronautical and Space-Rocket Engineering
Аuthors
*, **, ***Kazan National Research Technical University named after A.N. Tupolev, Kazan, Russia
*e-mail: VAKostin@kai.ru
**e-mail: NLValitova@kai.ru
***e-mail: FilyasovaVI@stud.kai.ru
Abstract
The main problem in structures diagnostics and quality control is that the overwhelming majority of physical quantities cannot be measured directly. The task emerges herefrom on the physical quantities determining by the results of their manifestation. The aircraft structures rigidity characteristics determining by the specified deformations and loads relates to this problem as well.
Problems in which coefficients of the equations are unknown, and the initial, boundary and other additional conditions are specified, form a wide class of so-called coefficient inverse problems. Inverse problems are mainly ill-posed. Their solution is often ambiguous, unstable, and errors in numerical methods lead to the resultant error increase. The up-to-date theory of their solution is largely associated with the name of O.M. Alifanov, Professor at Moscow State Technical University (MAI), and the scientific school he created.
The works cited in the review indicate a high level of research and the tools employed. However, according to the opinion of the authors of the article, the integrating matrices method is the most suitable one for the purpose of the listed problems solution in the framework of test laboratories and factory design bureaus, the more so, as as it gained further development through the approximations improving of the obtained relationships and modern software. Thus, the article considers this method, which naturally (due to integration) includes the necessary function of smoothing the experimental results as well.
The method consists of two stages. At the first stage, the initial differential equations are being reduced to a form convenient for the integrating matrices application. Integration of the problem differential equations is being performed herewith. Integration is being accomplished with account for the boundary conditions and continued so many times that the highest derivative in the equation becomes the one that determines the stress state. As the result, we obtain an integral-differential equation, which at the second stage is being reduced to a system of linear algebraic equations by replacing the integrals with their matrix analogs, and then this system is solved.
The article considers in detail the two examples of the proposed approach applying to the rigidity determining of a beam operating in both bending and torsion, with inaccurately specified initial information resulting from the experimental errors.
The results revealed that the integrating matrix method application for solving the inverse problem allows finding rigidities with almost the accuracy of the measurement error. Thus, this approach may be recommended as an effective tool for finding bending and torsional rigidities when the experimental results smoothing is practically not required.
Keywords:
numerical methods, identification, wing rigidity, oscillations, finite sums method, integrating matricesReferences
- Alifanov OM. Obratnye zadachi teploobmena (Inverse problems of heat transfer). Moscow: Mashinostroenie; 1988. 280 p.
- Alifanov OM, Ivanov NA, Kolesnikov VA. Methodology and algorithm determining the temperature dependence of thermal and physical characteristics for anisotropic materials basing on an inverse problem solution. Aerospace MAI Journal. 2012;19(5):14-20. URL: https://vestnikmai.ru/publications.php?ID=182553
- Alifanov OM, Ivanov NA, Kolesnikov VA, Mednov AG. A technique to evaluate temperature dependences of thermal and physical characteristics for anisotropic materials basing on an inverse problem solution. Aerospace MAI Journal. 2009;16(5): 247-254. URL: https://vestnikmai.ru/eng/publications.php?ID=12341
- Luo S, Jiang J, Zhang F, Mohamed MS. Distributed Dynamic Load Identification of Beam Structures Using a Bayesian Method. Applied Sciences. 2023;13(4):2537. DOI: 10.3390/app13042537
- Itou H, Kovtunenko VA, Nakamura G. Forward and inverse problems for creep models in viscoelasticity. Philosophical Transactions of the Royal Society A. 2024;382(2277): 20230295. DOI: 10.1098/rsta.2023.0295
- Alifanov OM, Artyukhin EA, Rumyantsev SV. Ekstremal'nye metody resheniya nekorrektnykh zadach i ikh prilozheniya k obratnym zadacham teploobmena (Extreme methods for solving ill-posed problems and their applications to inverse problems of heat transfer), Moscow: Nauka; 1988. 285 p.
- Kostin VA. Solution of Inverse Problems of Thin-Walled Structure Strength by the Gradient Method with the Aid of Conjugate Systems. Izvestiya vysshikh uchebnykh zavedenii. Aviatsionnaya tekhnika. 2002;(3):6-9.
- Kostin VA, Valitova NL. Teoriya i praktika prochnostnoi otrabotki konstruktsii letatel'nykh apparatov: monografiya (Theory and practice of strength development of aircraft structures). Kazan: KGTU; 2024. 140 p.
- Huang S, Kostin VA, Laptevа EY. Application of the sensitivity analysis method for the solution of the inverse creep problem of a wingbox structure on the basis of super-element model. Aerospace MAI Journal, 2018;25(3):64-72. URL: https://vestnikmai.ru/eng/publications.php?ID=95811
- Nguyen HD, Khatir S, Nguyen QB. A Novel Method for the Estimation of the Elastic Modulus of Ultra-High Performance Concrete using Vibration Data. Engineering, Technology & Applied Science Research. 2024;14(4):15447–15453. (In Greek). DOI: 10.48084/etasr.7859
- Trivailo P, Dulikravich SD, Sgarioto D, Gilbert T. Inverse problem of aircraft structural parameter estimation: Application of neural networks. Inverse Problems in Science and Engineering. 2006;14(4):351-363. DOI: 10.1080/17415970600573411
- Shi F. Combining Finite Element Simulation to Analyse the Viscoelastic Mechanical Inverse Problem of Asphalt Pavement. Archives Des Sciences. 2024;74(4):57-66. DOI: 10.62227/as/74409
- Kurchenko NS, Alekseitsev AV. Identification of force impacts on the carrier system using neural network technologies. Inzhenernyi vestnik Dona. 2023;(9). URL: ivdon.ru/magazine/archive/n9y2023/8656
- Parkhomovskii YM. On two identification problems encountered in strength calculations. In: Trudy TsAGI. Issue 1999. Moscow: Izdatel'skii otdel TsAGI; 1979. 16 p.
- Parkhomovskii YM. Remarks on determining the rigidity of a beam from given deformations and on solving some integral Volterra equations of the first kind. Uchenye zapiski TsAGI. 1987;18(5):102-105.
- Vakhitov MB. Integrating matrices is a technique for numerically solving differential equations of structural mechanics. Izvestiya vysshikh uchebnykh zavedenii. Aviatsionnaya tekhnika. 1966;(3):50-61.
- Vakhitov MB, Firsov VA. Chislennye metody resheniya odnomernykh zadach stroitel'noi mekhaniki letatel'nykh apparatov (Numerical methods for solving one-dimensional problems of structural mechanics of aircraft), Kazan: KAI; 1985. 66 p.
- Dautov RZ, Paimushin VN. On the method of integrating matrices for solving boundary value problems for ordinary fourth-order equations. Russian Math. (Iz. VUZ), 1996;(10):13-25.
- Toropov MY, Kostin VA. On the refinement of the stiffness characteristics of structures based on the results of a strength experiment. Aktual'nye problemy aviatsionnykh i aerokosmicheskikh sistem: protsessy, modeli, eksperiment. 1999;(1):71-76.
- Voskoboinikov YE, Boeva VA. Descriptive signal smoothing in a single algorithm nonparametric identification of technical systems. Sovremennye naukoemkie tekhnologii. 2020;(7):24-28. DOI: 10.17513/snt.38128
- Voskoboinikov YE, Boeva VA. Choice of bicubic spline smoothing parameters in problems of nonparametric identification. Sovremennye naukoemkie tekhnologii. 2022;(2):26-32. DOI: 10.17513/snt.39032
- Forsythe GE, Malcolm MA, Moler CB. Computer methods for mathematical computations. Prentice Hall; 1977. 270 p.
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