Adaptive finite element analysis of thermal and elasticity problems using Zienkiewicz–Zhu recovery-based error estimation
Keywords:
Finite element method, Adaptive mesh refinement, Zienkiewicz–Zhu recovery, A posteriori error estimationAbstract
This paper presents a verification-to-adaptivity analysis of a finite element framework for scalar and vector-valued elliptic problems that employs recovery-based a posteriori error estimation. Conforming bilinear quadrilateral (Q4) and linear triangular (T3) finite elements are used to discretise the thermal Poisson equation and the linear elasticity equations. Standard Galerkin methods are combined with uniform and adaptive mesh refinement in this approach. The approach of manufactured solutions under uniform refinement is first used for verification, where both discretizations regain the theoretical H1- and L2-norm convergence rates, proving the accuracy of the scalar and vector formulations. The Zienkiewicz–Zhu (ZZ) recovery approach is then used to incorporate adaptive refinement, using stress recovery for elasticity and gradient recovery for the thermal problems. The adaptive meshes show conservative effectivity behaviour, monotonic estimator–error correlation, and stable localisation. Differences between Q4 and T3 outcomes are consistent with their known approximation features across all test cases. The findings show that for thermal diffusion and linear elasticity issues, ZZ-driven adaptivity offers a dependable extension of a validated finite element framework. Dimensions
Published
2026-07-20
How to Cite
Adaptive finite element analysis of thermal and elasticity problems using Zienkiewicz–Zhu recovery-based error estimation. (2026). Journal of the Nigerian Society of Physical Sciences, 8(3), 3266. https://doi.org/10.46481/jnsps.2026.3266
Issue
Section
Mathematics & Statistics
Copyright & Licensing
Copyright (c) 2026 J. K. Odeyemi, S. A. Odunlami (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Adaptive finite element analysis of thermal and elasticity problems using Zienkiewicz–Zhu recovery-based error estimation. (2026). Journal of the Nigerian Society of Physical Sciences, 8(3), 3266. https://doi.org/10.46481/jnsps.2026.3266
Similar Articles
- Emmanuel Chidiebere Duru, Godwin Christopher Ezike Mbah, Michael Chimezie Anyanwu, Nnamani Nicholas Topman, Modelling the co-infection of malaria and zika virus disease , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 2, May 2024
- Enobong R. Essien, Violette N. Atasie, Ngozi A. Adeleye, Luqman A. Adams, Synthesis and in vitro bioactivity of sodium metasilicate-derived silicon-substituted hydroxyapatite , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- E. Omugbe, E. P. Inyang, A. Jahanshir, C. A. Onate, C. N. Isonguyo, E. S. Eyube, U. S. Okorie, R. Horchani, A. N. Ikot, Expectation values and Fisher information theoretic measures of heavy flavoured mesons , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- Jatin Kumar, Khem Chand, Pankaj Thakur, Numerical study of hall current and thermophoresis effect on the hydromagnetic casson nano fluid flow over a stretching surface , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 2, May 2026
- Matthew Iseh, Anthony Usoro, Nsisong Ekong, Idara Ukpe, Juxtaposing Vertically Transmitted Infections (VTIs) and the Spread of HIV/AIDS in a Typically Infection Prevalent Region in Nigeria , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 1, February 2022
- Faik Mayah, Nisreen Alokbi, Ali Sabeeh Rasheed, New Invariant Quantity To Measure The Entanglement In The Braids , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 4, November 2022
- Emmanuel P. Agbo, Golden C. Offorson, Abubakar S. Yusuf, John O. Bassey, Moses A. Okono, Ugochukwu Nkajoe, Patrick O. Ushie, Innovative trend analysis of precipitation changes over Nigeria: A case study of locations across the Niger and Benue Rivers , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- Paavithashnee Ravi Kumar, Majid Khan Majahar Ali, Olayemi Joshua Ibidoja, Identifying heterogeneity for increasing the prediction accuracy of machine learning models , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- Nneka Ernestina Richard-Nnabu, Chinagolum Ituma, Henry Friday Nweke, Convolutional neural networks method for folded naira currency denominations recognition and analysis , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
- F. L. Kherfane, A. BOUKRAA, B. Beladel, A. Douara, I. E. Tibermacine, A. Rabehi, M. Benghanem, Structural, electronic and optical properties of theFeAs(1-x)La(x) ternary alloys: a first principles calculations , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 1, February 2026
You may also start an advanced similarity search for this article.

