This review explores the application of Long Short-Term Memory (LSTM) networks, a
specialized type of recurrent neural network (RNN), in the field of polymeric sciences. LSTM …

This article deals with the study of predicting the confinement effect of carbon fiber reinforced
polymers (CFRPs) on concrete cylinder strength using metaheuristics-based artificial neural …

This investigation introduces advanced predictive models for estimating axial strains in
Carbon Fiber-Reinforced Polymer (CFRP) confined concrete cylinders, addressing critical …

This work analyzes the scale-dependent dynamics and stability of spinning beams with
circular and rectangular cross-sections in complex environments based on the nonlocal …

This work scrutinized the vibration behavior of nanoscale beam structures with rotating
motion according to the nonlocal stress-strain gradient theory (NSSGT). The surface layer …

This work examines the effect of eccentric loading on the behavior of long, circular columns
that are made of Slurry Infiltrated Fiber Concrete (SIFCON) and Normal Strength Concrete …

Attaining a dependable measurement of concrete slump is crucial as it is a valuable
indication of concrete workability. On the other hand, complexities associated with costly …

Concrete-filled steel tube columns (CFSTCs) are important elements in the construction
sector and predictive analysis of their behavior is essential. Recent works have revealed the …

Cracks located on the road edge and curve are two pavement crack types that can reduce
road safety. Providing a solution to control this type of crack can solve a large part of the …

Concrete, as one of the most widely applied materials in buildings, has high environmental
impacts. Researchers are continually seeking solutions to mitigate these environmental …