سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Advanced numerical simulations of lid-driven cavity flows using an optimized parallelized fractional step method

Publish Year: 1404
Type: Journal paper
Language: English
View: 46

This Paper With 17 Page And PDF Format Ready To Download

Export:

Link to this Paper:

Document National Code:

JR_CAND-4-1_001

Index date: 31 December 2024

Advanced numerical simulations of lid-driven cavity flows using an optimized parallelized fractional step method abstract

This work presents a numerical simulation of lid-driven cavity flows by solving the incompressible Navier-Stokes equations, with results validated against established benchmarks. The developed code uses a fractional step method combined with second-order Adams-Bashforth time discretization and Crank-Nicolson spatial discretization to achieve both accuracy and stability. A finite difference method is applied on a staggered grid to implement key operators such as gradient, divergence, Laplace, and advection, all computed with second-order central differencing. To efficiently solve the pressure Poisson equation, the conjugate gradient algorithm is employed. The code is vectorized and parallelized to enhance computational performance. An intriguing case involving opposite moving walls is also explored, revealing altered flow dynamics. This robust and efficient CFD code enables fast, accurate simulations of various fluid flow cases, providing deeper insights into complex flow phenomena.

Advanced numerical simulations of lid-driven cavity flows using an optimized parallelized fractional step method Keywords:

Advanced numerical simulations of lid-driven cavity flows using an optimized parallelized fractional step method authors

Muhammad Abid

Department of Mathematics, North Carolina State University, Raleigh, ۲۷۶۹۵ NC, United States.

Tayyaba Akhtar

Department of Mathematics, Government College University Faisalabad, Faisalabad ۳۸۰۰۰, Pakistan.

Mohamed M. Awad

Mechanical Power Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Muhammad Imran

Department of Mathematics, Government College University Faisalabad, Faisalabad ۳۸۰۰۰, Pakistan.

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
J. B. Perot. An analysis of the fractional step method. ...
U. Ghia, K. N. Ghia, and C. T. Shin. High-Re ...
P. Bjorstad and O. Widlund. Iterative methods for the solution ...
F. Khani, M. Ahmadzadeh Raji, H. Hamedi Nejad. Analytical solutions ...
LeVeque, R.J. and Trefethen, L.N. Fourier Analysis of the SOR ...
Akhtar T, Abid M, Awad MM, et al. Analysis of ...
Temam, R. Sur l’approximation de la solution des équations de ...
Benito, J.J.; García, A.; Gavete, L.; Negreanu, M.; Urena, F.; ...
Versteeg, H.K. and Malalasekera, W. An Introduction to Computational Fluid ...
Abid, M., & Shahid, M. (۲۰۲۴). A Novel Numerical Treatment ...
Karniadakis, G. and Sherwin, S. Spectral/hp Element Methods for Computational ...
Van der Vorst, H.A. Bi-CGSTAB: A fast and smoothly converging ...
Trottenberg, U., Oosterlee, C.W. and Schuller, A. Multigrid. Academic Press, ...
Smagorinsky, J. General circulation experiments with the primitive equations: I. ...
Germano, M., Piomelli, U., Moin, P. and Cabot, W.H. A ...
Spalart, P.R. and Allmaras, S.R. A one-equation turbulence model for ...
Menter, F.R. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA ...
Brunton, S.L., Noack, B.R. and Koumoutsakos, P. Machine learning for ...
Abid, M., & Shahid, M. (۲۰۲۴). Tumor Detection in MRI ...
Iaccarino, G. Quantification of uncertainty in flow simulations using probabilistic ...
Sagaut, P. Large Eddy Simulation for Incompressible Flows: An Introduction. ...
Meneveau, C. and Katz, J. Scale-invariance and turbulence models for ...
Huang, B., Miao, J., & Li, Q. (۲۰۲۲). A Vetoed ...
Kim, J., Moin, P. and Moser, R. Turbulence statistics in ...
Jeong, J. and Hussain, F. On the identification of a ...
Duraisamy, K., Iaccarino, G. and Xiao, H. Turbulence modeling in ...
Hesthaven, J.S. and Warburton, T. Nodal Discontinuous Galerkin Methods: Algorithms, ...
Zhang, S., Hou, Y., Zhang, S., & Zhang, M. (۲۰۱۷). ...
Zhang, S., Zhang, C., Zhang, S., & Zhang, M. (۲۰۱۸). ...
Zhang, S., Zhang, P., & Zhang, M. (۲۰۱۹). Fuzzy emergency ...
Sarwar, M., & Li, T. (۲۰۱۹). Fuzzy fixed point results ...
Xia, Y., Wang, J., Meng, B., & Chen, X. (۲۰۲۰). ...
Gao, M., Zhang, L., Qi, W., Cao, J., Cheng, J., ...
Zhang, S., & Zhang, M. (۲۰۲۰). Mitigation of Bullwhip Effect ...
Zhang, N., Qi, W., Pang, G., Cheng, J., & Shi, ...
Sun, Q., Ren, J., & Zhao, F. (۲۰۲۲). Sliding mode ...
Duan, Z. X., Liang, J. L., & Xiang, Z. R. ...
Zhang, S., Li, S., Zhang, S., & Zhang, M. (۲۰۱۷). ...
Diao, Y., & Zhang, Q. (۲۰۲۱). Optimization of Management Mode ...
نمایش کامل مراجع