The main objective of this research is to propose two ensemble machine learning
models, namely random forest (RF) and adaptive gradient boosting (AGB), for
predicting the compressive strength of ultra-high-performance concrete (UHPC).
These models are developed based on a total of 810 experimental results of the
compressive strength of UHPC collected from published articles. The predicted
results ... hiện toàn bộ
Shaheen, Yousry B. I., Etman, Zeinab A., Gomaa, Osama
Ferrocement plates with or without stiffeners are presented for structural
applications in construction instead of steel plates in some of its uses. Such
as retaining walls, construction of ships and pontoons, irrigation gates, open
channels and flood protection. The developed plates are lighter in weight with
high strength, cracking resistance, better deformation characteristics and high
ductilit... hiện toàn bộ