Abstract
Mathematical models of the heat conduction problem in the claydite-block construction with taking into account the fractal structure of the material is constructed. Integro-differentiation apparatus of fractional order to take into account the fractal structure of the material was used. The variational formulation of the problem was constructed. The variational method for obtaining an approximate solution of the considered problem was proposed. The results of the numerical experiments of studying the thermal conductivity of claydite-block construction depending on the time, wall thickness and materials of different fractions were obtained. Analyzing the founded distributions of temperature fields allows us to more accurately reflect the real speed of the process.
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Acosta, G., Borthagaray, J.P., Bruno, O., Maas, M.: Regularity theory and high order numerical methods for the (1D)-fractional Laplacian. Math. Comput. 87, 1821–1857 (2018). https://doi.org/10.1090/mcom/3276
Boffi, D.: Finite Element Methods and Applications. Springer Series in Computational Mathematics, p. 575 (2013)
Cai, M., Li, C.: Numerical approaches to fractional integrals and derivatives: a review. Mathematics 8, 43 (2020). https://doi.org/10.3390/math8010043
Diethelm, K., Garrappa, R., Stynes, M.: Good (and not so good) practices in computational methods for fractional calculus. Mathematics 8, 324 (2020). https://doi.org/10.3390/math8030324
Edelman, M.: Dynamics of nonlinear systems with power-law memory. Handbk. Fraction. Calculus Appl.: Appl. Phys. A, 103–132 (2019). https://doi.org/10.1515/9783110571707-005
Falade, K.I., Tiamiyu, A.T.: Numerical solution of partial differential equations with fractional variable coefficients using new iterative method (NIM). IJMSC 6(3), 12–21 (2020). https://doi.org/10.5815/ijmsc.2020.03.02
Ford, N.J., Morgado, M.L., Rebelo, M.: A nonpolynomial collocation method for fractional terminal value problems. J. Comput. Appl. Math. 275, 392–402 (2015). https://doi.org/10.1016/j.cam.2014.06.013
Garrappa, R.: Numerical solution of fractional differential equations: a survey and a software tutorial. Mathematics 6, 16 (2018). https://doi.org/10.3390/math6020016
Hilfer, R., Luchko, Y., Tomovski, Z.: Operational method for the solution of fractional differential equations with generalized Riemann-Liouville fractional derivatives. Fract. Calc. Appl. Anal (12), 299–318 (2009)
Hinze, M., Schmidt, A., Leine, R.I.: Numerical solution of fractional order ordinary differential equations using the reformulated infinite state representation. Fract. Calc. Appl. Anal. 22, 1321–1350 (2019). https://doi.org/10.1515/fca-2019-0070
Ismail, M., Saeed, U., Alzabut, J., Rehman, M.: Approximate solutions for fractional boundary value problems via green-CAS wavelet method. Mathematics 7, 1164 (2019). https://doi.org/10.3390/math7121164
Kelly, J.F., Sankaranarayanan, H., Meerschaert, M.M.: Boundary conditions for two-sided fractional diffusion. J. Comput. Phys. 376, 1089–1107 (2019). https://doi.org/10.1016/j.jcp.2018.10.010
Kilbas, A., Srivastava, H.M., Trujillo, J.J.: Theory and Applications of Fractional Differential Equations. Elsevier (2006)
Kochubei, A.N.: Equations with general fractional time derivatives. Cauchy problem. In: Handbook of Fractional Calculus with Applications, vol. 2: Fractional Differential Equations, pp. 223–234 (2019). https://doi.org/10.1515/97831105716620-011
Lischke, A., Zayernouri, M., Zhang, Z.: Spectral and spectral element methods for fractional advection-diffusion-reaction equations. In: Karniadakis, G.E. (ed.) Handbook of Fractional Calculus with Applications, vol. 3: Numerical Methods, pp. 157–183 (2019). https://doi.org/10.1515/9783110571684-006
Luchko, Y., Yamamoto, M.: The general fractional derivative and related fractional differential equations. Mathematics 8(12), 2115 (2020). https://doi.org/10.3390/math8122115
Madhu, J., Maneesha, G.: Design of fractional order recursive digital differintegrators using different approximation techniques. IJISA 12(1), 33–42 (2020). https://doi.org/10.5815/ijisa.2020.01.04
Pezza, L., Pitolli, F.: A multiscale collocation method for fractional differential problems. Math. Comput. Simul. 147, 210–219 (2018). https://doi.org/10.1016/j.matcom.2017.07.005
Podlubny, I.: Fractional Differential Equations. Academic Press (1999)
Povstenko, Y.: Fractional Thermoelasticity. Springer International Publishing, Cham, Heidelberg, New York, Dordrecht, London (2015). https://doi.org/10.1007/978-3-319-15335-3
Rituparna, P., Uttam, G.h., Susmita, S.: Application of memory effect in an inventory model with price dependent demand rate during shortage. IJEME 9(3), pp. 51–64 (2019). https://doi.org/10.5815/ijeme.2019.03.05
Shymanskyi, V., Protsyk, Y.: Simulation of the heat conduction process in the claydite-block construction with taking into account the fractal structure of the material. In: XIII-th International Scientific and Technical Conference; Computer Science and Information Technologies, CSIT-2018, pp. 151–154. https://doi.org/10.1109/STC-CSIT.2018.8526747
Shymanskyi, V., Sokolovskyy, Ya.: Finite element calculation of the linear elasticity problem for biomaterials with fractal structure. Open Bioinform. J. 14(1), 114–122. https://doi.org/10.2174/18750362021140100114
Shymanskyi, V., Sokolovskyy, Ya.: Variational formulation of viscoelastic problem in biomaterials with fractal structure. CEUR Workshop Proc. 2753, 360–369 (2020)
Sokolovskyy, Y., Levkovych, M., Sokolovskyy, I.: The study of heat transfer and stress-strain state of a material, taking into account its fractal structure. Math. Model. Comput. 7(2), 400–409 (2020). https://doi.org/10.23939/mmc2020.02.400
Tarasov, V.E.: General fractional dynamics. Mathematics 9(13), 1464 (2021). https://doi.org/10.3390/math9131464
Tarasov, V.E.: Self-organization with memory. Commun. Nonlinear Sci. Num. Simul. 72, 240–271 (2019). https://doi.org/10.1016/j.cnsns.2018.12.018
Washizu, K.: Variational Methods in Elasticity and Plasticity, 3rd edn. Pergamon Press, New York (1982)
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Shymanskyi, V., Sokolovskyy, I., Sokolovskyy, Y., Bubnyak, T. (2022). Variational Method for Solving the Time-Fractal Heat Conduction Problem in the Claydite-Block Construction. In: Hu, Z., Dychka, I., Petoukhov, S., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-031-04812-8_9
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