Abstract:
This paper deals with the solution of a boundary value problem for the Darcy equation with a random hydraulic conductivity field. We use an approach based on the polynomial chaos expansion in the probability space of input data. We use the probabilistic collocation method to calculate the coefficients of the polynomial chaos expansion. A computational complexity of this algorithm is defined by the order of a polynomial chaos expansion and the number of terms in the Karhunen–Loève expansion. We calculate different Eulerian and Lagrangian statistical characteristics of the flow by the Monte Carlo and probabilistic collocation methods. Our calculations show a significant advantage of the probabilistic collocation method in comparison with the conventional direct Monte Carlo algorithm.
Key words:
polynomial chaos, probabilistic collocation method, Darcy equation, Monte Carlo method, Karhunen–Loève expansion.
Citation:
I. A. Shalimova, K. K. Sabelfeld, “Solution to a stochastic Darcy equation by the polynomial chaos expansion”, Sib. Zh. Vychisl. Mat., 20:3 (2017), 313–327; Num. Anal. Appl., 10:3 (2017), 259–271
This publication is cited in the following 3 articles:
Farzaneh Rajabi, Hamdi A. Tchelepi, “Probabilistic Forecast of Multiphase Transport Under Viscous and Buoyancy Forces in Heterogeneous Porous Media”, Water Resources Research, 60:3 (2024)
Huan Ding, Yang Yang, Xinghui Zhong, “Numerical methods for reinterpreted discrete fracture models with random inputs”, Journal of Computational and Applied Mathematics, 448 (2024), 115938
Boris Dobronets, Olga Popova, “Joint application of the Monte Carlo method and computational probabilistic analysis in problems of numerical modeling with data uncertainties”, Monte Carlo Methods and Applications, 2024