Modified Bee Colony optimization algorithm for computational parameter identification for pore scale transport in periodic porous media

03/02/2020
by   Vasiliy V. Grigoriev, et al.
0

This paper discusses an optimization method called Modified Bee Colony algorithm (MBC) based on a particular intelligent behavior of honeybee swarms. The algorithm was checked in a few benchmarks like Shekel, Rozenbroke, Himmelblau and Rastrigin functions, then was applied to parameter identification for reactive flow problems in periodic porous media. The simulation results show that the performance and efficiency of MBC algorithm are comparable to the other parameter identification methods and strategies, at the same time it is able to better capture local minima for the considered class of problems. The proposed identification approach is applicable for different geometries (random and periodic) and for a range of process parameters. In this paper the potential of the approach is demonstrated in identifying parameters of Langmuir isotherm for low Peclet and high Damkoler numbers reactive flow in a 2D periodic porous media with circular inclusions. Finite element approximation in space and implicit time discretization are exploited.

READ FULL TEXT

page 7

page 8

page 20

page 21

page 23

page 24

12/09/2019

Computational identification of adsorption and desorption parameters for pore scale transport in periodic porous media

Computational identification of unknown adsorption and desorption rates ...
05/19/2020

A mathematical model for thermal single-phase flow and reactive transport in fractured porous media

In this paper we present a mathematical model and a numerical workflow f...
06/23/2020

Method of fundamental solutions for the problem of doubly-periodic potential flow

In this paper, we propose a method of fundamental solutions for the prob...
10/24/2019

A periodic FM-BEM for solving the acoustic transmission problems in periodic media

This paper presents a new fast multipole boundary element method (FM-BEM...
02/28/2013

Parameter Identification of Induction Motor Using Modified Particle Swarm Optimization Algorithm

This paper presents a new technique for induction motor parameter identi...
08/17/2020

Accelerated reactive transport simulations in heterogeneous porous media using Reaktoro and Firedrake

This work investigates the performance of the on-demand machine learning...
03/10/2021

An FFT-based method for computing the effective crack energy of a heterogeneous material on a combinatorially consistent grid

We introduce an FFT-based solver for the combinatorial continuous maximu...