Determination of Three-Dimensional Brinkman—Forchheimer-Extended Darcy Flow
Abstract
:1. Introduction
- (I)
- The literature [43] presented a weak solution when and , and its uniqueness when . Similarly, the strong solution and its uniqueness were shown when .Based on the well-posedness and regularity of Equation (6), for a non-autonomous system, the determining modes for weak and regular solutions have been illustrated. The key step for achieving determining modes is to find the generalized Grashof number for porous medium fluid flow. The difficulty lies in the estimation of a trilinear operator and a nonlinear term in the three-dimensional model, which is overcome by combining the utilized regularity estimates of bilinear operators with a monotone operator technique to deal with a nonlinear term from the new definition of generalized Grashof numbers. Furthermore, the determination can be proved for a weak solution when , and for a regular solution when .
- (II)
- The global attractor of an autonomous system (6) can be obtained for the semigroup generated by the global solution. Consider the complete trajectories inside an attractor; the asymptotic determination can be constructed via Fourier functionals. The difficulty lies in the estimation of a non-linear term , which can be overcome by using the generalized Gronwall inequality with an assumption on averaging integrations for all .
- (III)
- The regularity and determination for the system (6) with a non-slip boundary condition are still unknown because of . Especially for the regularity estimates, the pressure term does not disappear when one uses a localized technique to deal with convective and nonlinear terms, which need new skills to overcome this difficulty.
- (IV)
- The well-celebrated models (5) and (6) have been chosen as a representative problem to highlight the utility and numerical simulation. Based on the well-posedness of the three dimensional Brinkman–Forchheimer-extended Darcy system and related models in [12,13,16,19,20,21,22,23], the numerical simulations, such as the continuous dependence on the Forchheimer and Brinkman coefficients and the finite element approximation for (5) and its extension, have been investigated in [9,14,15,17,18], which present the effect of increasing Grashof numbers, the parameters (Brinkamn, Forchheimer and Darcy numbers) and transportation in porous media.Comparing with the computation of (6), the determining modes and asymptotic determination in this paper can give some theoretical analysis for the preparation of a numerical simulation of fluid flow models and also the description of asymptotic behaviors, which are important from the viewpoint of mathematical theory and computation. Moreover, the theoretical analysis presented shows good agreement with the asymptotic behavior of a numerical approximated solution.
2. Preliminaries
2.1. Functional Spaces, Symbols and Notations
2.2. Linear Operators
3. Well-Posedness and Regularity
4. Determining for a Non-Autonomous System
4.1. Some Lemmas
4.2. The Determining Modes for a Weak Solution
4.3. Determining Modes for a Regular Solution
4.4. Some Remarks
5. The Asymptotically Determining for an Autonomous System
6. Conclusions and Further Research
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Tao, Z.; Yang, X.-G.; Lin, Y.; Guo, C. Determination of Three-Dimensional Brinkman—Forchheimer-Extended Darcy Flow. Fractal Fract. 2023, 7, 146. https://doi.org/10.3390/fractalfract7020146
Tao Z, Yang X-G, Lin Y, Guo C. Determination of Three-Dimensional Brinkman—Forchheimer-Extended Darcy Flow. Fractal and Fractional. 2023; 7(2):146. https://doi.org/10.3390/fractalfract7020146
Chicago/Turabian StyleTao, Zhengwang, Xin-Guang Yang, Yan Lin, and Chunxiao Guo. 2023. "Determination of Three-Dimensional Brinkman—Forchheimer-Extended Darcy Flow" Fractal and Fractional 7, no. 2: 146. https://doi.org/10.3390/fractalfract7020146
APA StyleTao, Z., Yang, X. -G., Lin, Y., & Guo, C. (2023). Determination of Three-Dimensional Brinkman—Forchheimer-Extended Darcy Flow. Fractal and Fractional, 7(2), 146. https://doi.org/10.3390/fractalfract7020146