PREDICTING MASONRY WALL COMPRESSIVE STRENGTH USING ARTIFICIAL NEURAL NETWORKS
The application of artificial neural networks (ANNs) has significantly advanced the resolution of complex engineering problems in civil engineering, particularly in data analysis, design, and structural performance prediction. They play a crucial role in materials science by enabling the assessment of mechanical properties of construction materials...
By Bojan Milosevic, Nenad Kojic, Zarko Petrovic
LOAD–DEFLECTION BEHAVIOR OF CONTINUOUS SCC BEAMS WITH RECYCLED COARSE AGGREGATES
This study examines the load–deflection response of continuous self-compacting concrete (SCC) beams incorporating recycled coarse aggregates. Nine two-span beams with reinforcement ratios of 0.65–0.94% were experimentally tested using 50% and 100% aggregate replacement. Recycled aggregate beams showed slightly reduced stiffness and incr...
By Žarko Petrović, Bojan Milosevic, Marija Spasojević Šurdilović, Andrija Zorić, Dragana Turnić