POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow
نویسندگان
چکیده
Keywords: POD reduced order model 3D flows Finite element Unstructured mesh Numerical simulation a b s t r a c t A new scheme for implementing a reduced order model for complex mesh-based numerical models (e.g. finite element unstructured mesh models), is presented. The matrix and source term vector of the full model are projected onto the reduced bases. The proper orthogonal decomposition (POD) is used to form the reduced bases. The reduced order modeling code is simple to implement even with complex governing equations, discretization methods and nonlinear parameterizations. Importantly, the model order reduction code is independent of the implementation details of the full model code. For nonlinear problems, a perturbation approach is used to help accelerate the matrix equation assembly process based on the assumption that the discretized system of equations has a polynomial representation and can thus be created by a summation of pre-formed matrices. In this paper, by applying the new approach, the POD reduced order model is implemented on an unstructured mesh finite element fluid flow model, and is applied to 3D flows. The error between the full order finite element solution and the reduced order model POD solution is estimated. The feasibility and accuracy of the reduced order model applied to 3D fluid flows are demonstrated.
منابع مشابه
POD reduced-order unstructured mesh modelling applied to 2D and 3D fluid flows
A new scheme for implementing a reduced order model for complex meshbased numerical models (e.g. finite element unstructured mesh models), is presented. The matrix and source term vector of the full model is projected onto the reduced bases. The proper orthogonal decomposition (POD) is used to form the reduced bases. The reduced order modelling code is simple to implement even with complex gove...
متن کاملPOD reduced-order unstructured mesh modelling applied to 2D and 3D fluid flow
A new scheme for implementing a reduced order model for complex meshbased numerical models (e.g. finite element unstructured mesh models), is presented. The matrix and source term vector of the full model are projected onto the reduced bases. The proper orthogonal decomposition (POD) is used to form the reduced bases. The reduced order modelling code is simple to implement even with complex gov...
متن کاملNovel Algorithms for Modeling Sedimentation and Compaction using 3D Unstructured Meshes
In this paper, we discuss some novel techniques for modeling sedimentation and compaction using fully unstructured meshes. The numerical modeling of the sedimentation process is a critical part of basin simulation and synthetic stratigraphy modeling. Normally, structured curvilinear meshes are used to represent sedimentary sequences to be deposited during the simulation. Using this approach, 2D...
متن کاملA POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows
Herein a new approach to enhance the accuracy of a novel Proper Orthogonal Decomposition (POD) model applied to moderate Reynolds number flows (of the type typically encountered in ocean models) is presented. This approach develops the POD model of Fang et al. [Fang, F., Pain, C.C., Navon, I.M., Piggott, M.D., Gorman, G.J., Allison, P., Goddard, A.J.H., 2008. Reduced-order modelling of an adapt...
متن کاملNumerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid
In this article, a coupled computational framework is presented for the numerical simulation of mass transfer under the effects of natural convection phenomena in a field contains water-copper Nano-fluid. This CFD model is build up based on accurate algorithms for spatial derivatives and time integration. The spatial derivatives have been calculated using first order upwind and second order cen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computers & Mathematics with Applications
دوره 65 شماره
صفحات -
تاریخ انتشار 2013