Cargando…
The Efficiency of Hybrid Intelligent Models in Predicting Fiber-Reinforced Polymer Concrete Interfacial-Bond Strength
Fiber-reinforced polymer (FRP) has several benefits, in addition to excellent tensile strength and low self-weight, including corrosion resistance, high durability, and easy construction, making it among the most optimum options for concrete structure restoration. The bond behavior of the FRP-concre...
Autores principales: | Barkhordari, Mohammad Sadegh, Armaghani, Danial Jahed, Sabri, Mohanad Muayad Sabri, Ulrikh, Dmitrii Vladimirovich, Ahmad, Mahmood |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102983/ https://www.ncbi.nlm.nih.gov/pubmed/35591352 http://dx.doi.org/10.3390/ma15093019 |
Ejemplares similares
-
Prediction of Bearing Capacity of the Square Concrete-Filled Steel Tube Columns: An Application of Metaheuristic-Based Neural Network Models
por: Sarir, Payam, et al.
Publicado: (2022) -
Predicting the Compressive Strength of the Cement-Fly Ash–Slag Ternary Concrete Using the Firefly Algorithm (FA) and Random Forest (RF) Hybrid Machine-Learning Method
por: Huang, Jiandong, et al.
Publicado: (2022) -
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
por: Hosseini, Shahab, et al.
Publicado: (2023) -
Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete
por: Dai, Li, et al.
Publicado: (2022) -
Effect of Using Steel Bar Reinforcement on Concrete Quality by Ultrasonic Pulse Velocity Measurements
por: Nanayakkara, Ominda, et al.
Publicado: (2022)