Código QR (código de barras bidimensional)

Predicting the Compressive Strength of Glass Fiber-Reinforced Polymer Confined-Concrete Elements Using Metaheuristics-Guided Machine Learning

Abstract Glass fiber-reinforced polymers (GFRP) are widely applied to enhance the strength of concrete columns due to their lightweight and high-strength characteristics. This study presents the development of a metaheuristics-guided machine learning (ML) model for predicting the compressive strengt...

Fuld beskrivelse

Na minha lista:
Principais autores: Nima Khodadadi, Emad Golafshani, Hossein Roghani, Ali Behnood, El-Sayed M. El-kenawy, Tuan Ngo, Antonio Nanni
Format: Artigo
Sprog:Inglês
Udgivet: SpringerOpen 2025-10-01
Serier:International Journal of Concrete Structures and Materials
Fag:
Metaheuristic algorithms
Glass fiber-reinforced polymer
Confined-concrete
Compressive strength
Online adgang:https://doi.org/10.1186/s40069-025-00841-w
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker