Comparing Stresses and Compressions for Three Elements by Numerical Solution and COMSOL Multiphysics Results
DOI:
https://doi.org/10.65405/45g3hw52Keywords:
Linear elements, Stresses, Compressions, Coefficient matrix, Tension, Rod.Abstract
This paper compares the results between numerical solution and COMSOL multiphysics. In this problem we will calculate the stresses and compression in each section by two ways. At the first way we use numerical method, and the second way we use COMSOL multiphysics method. After that we will compare between them. To verify these results, if the results are equal it will be satisfied, or the results have difference after that we will describe the reasons in results and discussion section.
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References
[1] J. N. Reddy, An Introduction to the Finite Element Method, Second Edition, Department of Mechanical Engineering, Texas A&M University, College Station, Texas, USA, pp. 86–93, 1993.
[2] COMSOL AB, COMSOL Multiphysics® User's Guide, COMSOL AB, Burlington, MA, USA, pp. 31–35, 2023.
[3] James M. Gere, Mechanics of Materials, Sixth Edition, Stanford University, Thomson Brooks/Cole, pp. 107–109, 2004.
[4] Xu, J., Tang, L., Wang, H., Cao, Q., and Jiang, X., "Analytical Element for Compressive Bar Considering Flexural Displacement," Journal of Jiangsu University (Natural Science Edition), Vol. 40, No. 2, pp. 167–171, 2019.
[5] Jafari, A., Broumand, P., Vahab, M., and Khalili, N., "An eXtended Finite Element Method Implementation in COMSOL Multiphysics: Solid Mechanics," Finite Elements in Analysis and Design, Vol. 202, Article 103707, 2022.
[6] Stefani, F. A., Frascio, M., and Niccolini Marmont Du Haut Champ, C. A., "Choice of the Stress Integration Scheme for Accurate Large-Deformation Finite Element Analysis," Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 237, No. 17, pp. 3977–3986, 2023.
[7] Yang, F., Bao, Y., Du, M., and Li, X., "Numerical Investigation of the Axial Compressive Behavior of a Novel L-Shaped Concrete-Filled Steel Tube Column," Materials, Vol. 18, No. 4, Article 897, 2025.
[8] Ramadhan, H. R. S. R., Osman, M., Ben-Dalla, L., Rashid, T., Albaraesi, M., EL-sseid, M. A. M., & Alnnale, T. (2025). A New Approach of the Machine Learning Framework Integrating Policy Design to Predict Renewable Electricity Penetration in Resource-Constrained Settings. Comprehensive Journal of Science, 10(ملحق 38), 2929-2950.
[9] Osman, M. O. M., Dalla, L. O. F. B., Rashid, T. A., Albaraesi, M. J. S., EL-sseid, M. A. M., Ahmed, A. A., ... & Alsharif, A. (2026). A comparative Analysis on Stacked Hybrid Intelligence: A Multi-Paradigm Machine Learning Framework for Robust Phishing URL Detection. مجلة العلوم الشاملة, 10(39), 1037-1062.
[10] Abdulrazigh, M., Awami, A. H. I., Khairalla, M. A. A., & Abdullah, M. E. (2026). The role of artificial intelligence in developing applied engineering education and electrical engineering skills in Libyan technical colleges. مجلة العلوم الشاملة, 10(39), 1-6.












