A stochastic variational multiscale method for diffusion in heterogeneous random media
نویسندگان
چکیده
A stochastic variational multiscale method with explicit subgrid modeling is provided for solution of stochastic elliptic equations that arise while modeling diffusion in heterogeneous random media [1]. The exact solution of the governing equations is split into two components: a coarse-scale solution and a subgrid solution. A localized computational model for the subgrid solution is derived. The coarse-scale solution is then obtained by solving a modified coarse formulation that takes into account the subgrid model. The generalized polynomial chaos method combined with the FEM is used for the solution of equations resulting from the coarse formulation and subgrid models. Numerical examples are considered for evaluating the method.
منابع مشابه
Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method
In recent years, there has been intense interest in understanding various physical phenomena in random heterogeneous media. Any accurate description/simulation of a process in such media has to satisfactorily account for the twin issues of randomness as well as the multi-length scale variations in the material properties. An accurate model of the material property variation in the system is an ...
متن کاملA stochastic variational multiscale model of thermal transport in heterogeneous random media
1. Introduction: Thermal and hydrodynamic transport in random heterogeneous media are ubiquitous processes occurring in various scales. Any realistic prediction methodology must satisfactorily deal with some important issues related with the property variation in such media, namely, the effect of multiple length scales and the statistical nature of properties. It is not possible to experimental...
متن کاملA stochastic multiscale framework for modeling flow through random heterogeneous porous media
Flow through porous media is ubiquitous, occurring from large geological scales down to the microscopic scales. Several critical engineering phenomena like contaminant spread, nuclear waste disposal and oil recovery rely on accurate analysis and prediction of these multiscale phenomena. Such analysis is complicated by inherent uncertainties as well as the limited information available to charac...
متن کاملModeling multiscale diffusion processes in random heterogeneous media
A simple stochastic up-scaling strategy is presented for incorporating the effects of micro-scale variations of thermal conductivity in the thermal analysis of macro-scale systems. Incomplete characterization of the fine-scale variation necessitates posing the thermal conductivity as a stochastic multiscale random field. A data-driven approach coupled with a non-linear dimension reduction algor...
متن کاملBayesian and variational Bayesian approaches for flows in heterogeneous random media
In this paper, we study porous media flows in heterogeneous stochastic media. We propose an efficient forward simulation technique that is tailored for variational Bayesian inversion. As a starting point, the proposed forward simulation technique decomposes the solution into the sum of separable functions (with respect to randomness and the space), where each term is calculated based on a varia...
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:
- J. Comput. Physics
دوره 218 شماره
صفحات -
تاریخ انتشار 2006