Please note that a complete list of my publications can be found on my Google Scholar, Scopus, and ResearchGate profiles.

Refereed Journal Articles

  1. L. Simwanda, P. Gatheeshgar, M. Sykora, P. Sejkot, AB David, OB Olalusi. Local buckling strength prediction of slotted cold-formed steel beams using ensemble learning, (Accepted), Journal of Constructional Steel Research, Elsevier

  2. Silewu, K.; Kahanji, C.; Simwanda, L.; Sykora, M. Intelligent Data Driven Ensemble Approaches for Bending Strength Prediction of Ultra-High Performance Concrete Beams. Bulletin of Computational Intelligence 2025, 1 (1), 31–52

  3. L. Simwanda, A.B Davida,O.B. Olalusi, I.B Muhit. Shear capacity prediction and reliability analysis of CRC beams via generative modeling and ensemble learning, Engineering Applications of Artificial Intelligence, Vol. 157, pp. 111085, doi: 10.1016/j.engappai.2025.111085

  4. Simwanda, L., Dr, PhD, Sykora, M., Assoc. Prof. ,. PhD, & Lenner, R., Assoc. Prof. ,. PhD. (2025). Full and Semi-Probabilistic Analysis of Ultra-High-Performance Concrete Beams in Bending via Machine Learning.Structural Engineering International, 1–15. doi: 10.1080/10168664.2025.2500458

  5. M. M. Madirisha, L. Simwanda, and R. P. Mtei, "Predicting the hydrogen storage capacity of alumina pillared interlayer clays using interpretable ensemble machine learning," Int. J. Hydrogen Energy, vol. 120, pp. 354-364, 2025. doi: 10.1016/j.ijhydene.2025.03.216.

  6. Amika, A.U., Haas, T.N., Simwanda, L. Reliability-based assessment of a multilinear regression model for estimating the ultimate load of eccentrically loaded slender circular CFDST columns. Structural Concrete, 2025. doi: 10.1002/suco.202400418

  7. Simwanda, L., Ikotun, B.D., Ilunga, F.M., Onyari, E.K. “Epistemic uncertainties in torque capacity prediction models for circular CFDST members”, Journal of Construction Steel Research, 2025, volume 226, pages 109299, doi: 10.1016/j.jcsr.2024.109299

  8. Gatheeshgar, P., Ranasinghe, R. S. S., Mohotti, D., Meddage, D. P. P., & Simwanda, L. (2024). Machine learning prediction of web crippling strength in cold-formed steel beams with staggered slotted perforations. Structures,71:108079, doi.org/10.1016/j.istruc.2024.108079

  9. David, A.B.; Olalusi, O.B.; Awoyera, P.O.; Simwanda, L. Suitability of Mechanics-Based and Optimized Machine Learning-Based Models in the Shear Strength Prediction of Slender Beams Without Stirrups. Buildings 2024, 14, 3946. https://doi.org/10.3390/buildings14123946

  10. Amika AU, Haas TN, Simwanda L. Multilinear regression model for predicting the ultimate load of slender circular CFDST columns subjected to concentric and eccentric loading. Structural Concrete. 2024. https://doi.org/10.1002/suco.202400417

  11. Simwanda, L., Gatheeshgar, P., Ilunga, F. M., Ikotun, B. D., Mojtabaei, S. M., & Onyari, E. K. (2024). Explainable machine learning models for predicting the ultimate bending capacity of slotted perforated cold-formed steel beams under distortional buckling. Thin-Walled Structures, 112, 112587. https://doi.org/10.1016/j.tws.2024.112587

  12. Chandrasiri D, Gatheeshgar P, Ahmadi HM, Simwanda L. Numerical Study of Thermal Efficiency in Light-Gauge Steel Panels Designed with Varying Insulation Ratios. Buildings. 2024; 14(1):300. https://doi.org/10.3390/buildings14010300

  13. L. Simwanda, P. Gatheeshgar, BD. Ikotun, M. Bock, FM Ilunga, EK. Onyari, “Reliability analysis of shear design provisions for cold formed steel sections”, Journal of Construction Steel Research, 217 (2024): 108656, doi.org/10.1016/j.jcsr.2024.108656.

  14. Simwanda L, Ikotun BD. Prediction of Torque Capacity in Circular Concrete-Filled Double-Skin Tubular Members under Pure Torsion via Machine Learning and Shapley Additive Explanations Interpretation. Buildings. 2024; 14(4):1040. https://doi.org/10.3390/buildings14041040

  15.  L. Simwanda, N. De Koker, C. Viljoen, and AJ. Babafemi, “Structural reliability of ultra-high-performance fiber reinforced concrete beams in shear” Structural Concrete, 2023; 24(2): 2862– 2878. https://doi.org/10.1002/suco.202200342

  16. L. Simwanda, C. Kahanji, and F. Ali, “Numerical simulation, parametric analysis and design of UHPFRC Beams exposed to fire”, Structures 52,1-16 (2023), doi.org/10.1016/j.istruc.2023.03.155.

  17. L. Simwanda, N. De Koker, C. Viljoen, and AJ. Babafemi, “Bayesian calibration and reliability of UHPFRC beams in fire”, Structural Safety 103, 102352 (2023) https://doi.org/10.1016/j.strusafe.2023.102352

  18. L. Simwanda, N. De Koker, and C. Viljoen, “Structural reliability of ultra-high-performance fibre reinforced concrete beam in flexure”, Engineering Structures 244, 112767 (2021), https://doi.org/10.1016/j.engstruct.2021.112767

Refereed Conference Proceedings

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  1. Simwanda, L., Ikotuna, B. D., Ilunga, M., Onyari, E., & Perampalam, G. (2024). Prediction of the torsional capacity of CFDST steel columns using extreme gradient boosting tree-based machine learning technique. In Proceedings of the 15th Nordic Steel Construction Conference (paper No. 99). Luleå, Sweden, June 26–28. https://doi.org/10.5281/zenodo.12522918

  2. Perampalam, G., Idongesit, U., Bock, M., Dimopoulos, C., & Simwanda, L. (2024). Shear behaviour of cold-formed stainless steel lipped channel sections with web holes. In Proceedings of the 15th Nordic Steel Construction Conference (Paper No. 100). Luleå, Sweden, June 26–28. https://doi.org/10.5281/zenodo.12123993

  3. Simwanda, L., & Sykora, M. (2024). Prediction of moment capacity of ultra-high-performance concrete beams using explainable extreme gradient boosting machine learning model. In Proceedings of the CEACM S4ML 2024 Conference, June 19-21, Prague, Czech Republic.

  4. Simwanda, L., Sykora, M., & Markova, J. (2024). Model uncertainty in European UHPC standards: Insights from SIA-2052 and NF P18-710 flexure models. In Proceedings of the 4th Central European Congress on Concrete Structures, September 22-24, Mikulov, Czech Republic.

  5. Simwanda, L., & Sykora, M. (2024). Resistance model uncertainty in non-linear finite element analyses of ultra-high-performance reinforced concrete beams in flexure. In Proceedings of the Fifteenth International Conference on Computational Structures Technology, special session: Advances in Safety Assessment through Numerical Analyses, September 4-6, Prague, Czech Republic. http://dx.doi.org/10.4203/ccc.9.9.3

  6. L. Simwanda, N. De Koker, C. Viljoen, and AJ. Babafemi, “Structural reliability of existing RC beams strengthened with UHPFRC tensile layers”, Proceedings of the 19th International Probabilistic Workshop 2022 26:191, 197 (2022). 2022, https://ojs.cvut.cz/ojs/index.php/APP/article/view/8409

Manuscripts (submitted/under review)

  1. L. Simwanda, P. Gatheeshgar, M. Sykora, P. Sejkot, AB David, OB Olalusi. Local buckling strength prediction of slotted cold-formed steel beams using ensemble learning, (Accepted), Journal of Constructional Steel Research, Elsevier.

  2. Olaolu Fadugba, Paul Awoyera, Lenganji Simwanda, Milica Vasić, Md Azree Othuman Mydin, Andi Asiz, Hybrid and Ensemble Machine Learning Models for Predicting Strength Characteristics of Concrete Incorporating Recycled Aggregates, under review in Results in Engineering, Elsevier.

  3. Simwanda, L.; David, A.B.; Perampalam, G.; Olalusi, O.B.; Sykora, M. Optimization of Interlayer Bond Strength in 3D-Printed Concrete Using Response Surface Methodology and Artificial Neural Networks. Buildings 2025, Under Review.

  4. Kannan, T., Simwanda, L., Thirunavukkarasu, K., Sifan, M., Poologanathan, K., Kamalaseelan, K., Lingaretnam, J., & Popo-Ola, S. (2025). Interpretable ensemble learning for predicting web-crippling strength of cold-formed steel sigma sections under end-two-flange loading [submitted for publication]. Advances in Structural Engineering.

  5. Simwanda, L., Sýkora, M., Kolisko, J., & Markova, J. (2025). Model uncertainty in bending capacity models for ultra-high-performance concrete beams reinforced with steel rebars [Under Review]. Structural Safety.

  6. Morudu, K. N., Ikotun, B. D., Simwanda, L., & Zimbili, A. O. (2025). Reliability analysis of studded shear connectors in composite slabs subjected to shear loading [Manuscript submitted for publication]. Journal of Constructional Steel Research, Elsevier.

  7. Gatheeshgar, P., Pathirana, D., Bock, M., & Simwanda, L. (in press). Influence of web holes on critical elastic web crippling strength of cold-formed steel sections with web holes. In Proceedings of the International Colloquium on Stability and Ductility of Steel Structures (SDSS 2025), 8–10 September 2025, Barcelona, Spain. ce/papers. Ernst & Sohn / Wiley.

  8. Simwanda, L., Markova, J., Sykora, M., & Thiis, T. K. (in press). Automated ensemble machine learning models for roof snow load estimation of heated flat roofs. Structural Integrity Procedia. Elsevier. To appear in Proceedings of the 23rd International Conference on Modelling in Mechanics 2025, Prague, Czech Republic.

  9. Sykora, M., Holicky, M., Markova, J., Simwanda, L., & Valik, A. (in press). On modelling of snow and wind loads – Pilot investigation of Czech meteorological records. Structural Integrity Procedia. Elsevier. To appear in Proceedings of the 23rd International Conference on Modelling in Mechanics 2025, Prague, Czech Republic.

  10. Simwanda, L., & Sykora, M. (2025, September 14–17). Generative design and optimisation of ultrahigh-performance concrete mixes using variational autoencoders, ensemble learning, and genetic algorithms [Manuscript submitted for presentation/publication]. In Proceedings of the First International Conference on Artificial Intelligence in Structural Engineering (ARTISTE 2025), Torino, Italy

Lenganji Simwanda, Ph.D

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