Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 24-Jul-2023 | Buckling resistance of hot‐finished CHS beam‐columns using FE modelling and machine learning | Rabi, M; Abarkan, I; Shamass, R |
| 19-Jan-2023 | Prediction of the cross-sectional capacity of cold-formed CHS using numerical modelling and machine learning | Rabi, M; Ferreira, FPV; Abarkan, I; Limbachiya, V; Shamass, R |