Least squares collocation method in Moho depth determination in Iran using gravity gradient data

Estimating the axial strain of circular short columns confined with CFRP under centric compressive static load using ANN and GRA techniques

“…The axial compressive strength of FRP was predicted using the ANN technique by Reddy et al [ 42 ] and Khademi et al [ 43 ]. Carbon Fiber Reinforced Polymer (CFRP) wraps improved the compressive, tensile, and flexure strength of concrete members, and close agreement between experimental and theoretical results was observed [ 25 , [44] , [45] , [46] ]. Several works in the literature have explored the interaction and confinement mechanism of FRP wraps and proposed new mathematical models for axial strengths and strain prediction using regression analysis, ANNs, curve fittings, genetic programming [ 47 ], and soft computing [ 48 , 49 ].…”

“…In the study [ [23] , [24] , [25] , [26] ], metaheuristics-based artificial neural networks were developed to predict the confinement effect of CFRP on concrete strength, while Shakouri Mahmoudabadi et al [ 27 ] explored the effects of eccentric loading on concrete columns reinforced with GFRP bars, contributing to the broader understanding of concrete behavior under various loading conditions.…”