- Article
Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units
- Felipe Piana Vendramell Ferreira,
- Seong-Hoon Jeong,
- Ehsan Mansouri,
- Rabee Shamass,
- Konstantinos Daniel Tsavdaridis,
- Carlos Humberto Martins and
- Silvana De Nardin
The global shear capacity of steel–concrete composite downstand cellular beams with precast hollow-core units is an important calculation as it affects the span-to-depth ratios and the amount of material used, hence affecting the embodied CO2 c...

