Academic staff
Mr Luis Pinho Santos
pinhosl3@lsbu.ac.uk
Civil and Building Services Engineering
https://orcid.org/0000-0002-0009-8752
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I am extensively familiar with both past and emerging research in the field of sandwich construction and computational structural mechanics as a result of my PhD research. The future of my research goes by implementing optimisation algorithms to solve different engineering problems. I am also comfortable with the practical aspects of the design of structures.
https://www.researchgate.net/profile/Luis_Santos48
Structural Optimisation
Structural Design
Artificial Inteligence
Sandwich Construction
Earthquake Engineering
Postgraduate Research Supervision
Current
| Mr Shahzada Danyal Sultan | Doctoral Research Project | PhD |
Awarded in the last 5 years
| LSBU Panel Review Training | PhD | |
| Epigeum Supervisory Training | PhD |
Imperial College London
FEUP - Faculdade de Engenharia da Universidade do Porto
• Conceptual design
• Development of finite element models for design
• Development of design tools for more complex components, such as pre-stressed waffled slabs
• Preparation of construction drawings
| Proposal | Project | Role | Funder | Status | Status last updated |
|---|---|---|---|---|---|
| Using advanced AI to power next-generation structural design | Using advanced AI to power next-generation structural design | Principal Investigator | Leverhulme Trust | OPEN Submitted | Nov 2023 |
Gradient-based optimisation of rectangular honeycomb core sandwich panels
Luis Santos, Bassam A. Izzuddin, Lorenzo Macorini and Pinho Santos, L. (2022). Gradient-based optimisation of rectangular honeycomb core sandwich panels. Structural and Multidisciplinary Optimization. 65 (242). https://doi.org/10.1007/s00158-022-03341-7
Web-Post Buckling Prediction Resistance of Steel Beams with Elliptically-Based Web Openings using Artificial Neural Networks (ANN)
Shamass, R., Ferreira, F., Limbachiya, V., Pinho Santos, L. and Tsavdaridis, K.D. (2022). Web-Post Buckling Prediction Resistance of Steel Beams with Elliptically-Based Web Openings using Artificial Neural Networks (ANN). Thin-Walled Structures. 180 (109959). https://doi.org/10.1016/j.tws.2022.109959
EC3 design of web-post buckling resistance for perforated steel beams with elliptically-based web openings
Ferreira, F., Shamass, R., Pinho Santos, L., Limbachiya, V. and Tsavdaridis, K. (2022). EC3 design of web-post buckling resistance for perforated steel beams with elliptically-based web openings. Thin-Walled Structures. 175, p. 109196. https://doi.org/10.1016/j.tws.2022.109196
Mechanical models for local buckling of metal sandwich panels
Pinho Santos, L., Nordas, A.N., Izzuddin, B. and Macorini, L. (2018). Mechanical models for local buckling of metal sandwich panels. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics. 171 (2), pp. 65-78. https://doi.org/10.1680/jencm.18.00021
Improved Seismic Design of Concentrically X-Braced Steel Frames to Eurocode 8
Silva, A., Pinho Santos, L., Pinto Ribeiro, T. and Castro, J.M. (2018). Improved Seismic Design of Concentrically X-Braced Steel Frames to Eurocode 8. Journal of Earthquake Engineering. https://doi.org/10.1080/13632469.2018.1528912
High-fidelity non-linear analysis of metal sandwich panels
Nordas, A.N., Pinho Santos, L., Izzuddin, B. and Macorini, L. (2018). High-fidelity non-linear analysis of metal sandwich panels. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics. 171 (2), pp. 79-96. https://doi.org/10.1680/jencm.18.00022