Unconditionally Optimal Error Estimate of a Linearized Second-Order Fully Discrete Finite Element Method for Bioconvection Flows with Concentration-Dependent Viscosity

In this paper, the coupled and decoupled BDF2 finite element discrete schemes are obtained for the time-dependent bioconvection flows problem with concentration dependent viscosity, which consists of the Navier-Stokes equations and a linear convection-diffusion equation modeling the concentration of microorganisms in a culture fluid. The unconditionally optimal error estimate for the velocity and concentration in L²-norm are proved by using finite element approximations in space and finite differences in time. Finally, the numerical results for different viscosity are shown to support the theoretical analysis.

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Publication Details

Journal
Journal of Computational Mathematics
Published
2026-08-19
DOI
https://doi.org/10.4208/jcm.2601-m2025-0140
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Unconditionally Optimal Error Estimate of a Linearized Second-Order Fully Discrete Finite Element Method for Bioconvection Flows with Concentration-Dependent Viscosity

Haibiao Zheng, Chenyang Li, Yao Lu
Journal of Computational Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Unconditionally Optimal Error Estimate of a Linearized Second-Order Fully Discrete Finite Element Method for Bioconvection Flows with Concentration-Dependent Viscosity

Haibiao Zheng, Chenyang Li, Yao Lu
article en

Abstract

In this paper, the coupled and decoupled BDF2 finite element discrete schemes are obtained for the time-dependent bioconvection flows problem with concentration dependent viscosity, which consists of the Navier-Stokes equations and a linear convection-diffusion equation modeling the concentration of microorganisms in a culture fluid. The unconditionally optimal error estimate for the velocity and concentration in L²-norm are proved by using finite element approximations in space and finite differences in time. Finally, the numerical results for different viscosity are shown to support the theoretical analysis.

Journal of Computational Mathematics
East China Normal University (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 98%
Advanced Numerical Methods in Computational Mathematics
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