Reliability analysis of strength models for CFRP-confined concrete cylinders
The present work describes a reliability analysis of strength models for predicting the
confinement effect of concrete cylinders with Carbon Fibre Reinforced Polymers (CFRPs) …
confinement effect of concrete cylinders with Carbon Fibre Reinforced Polymers (CFRPs) …
Prediction of long-term compressive strength of concrete with admixtures using hybrid swarm-based algorithms
L Huang, W Jiang, Y Wang, Y Zhu, M Afzal - Smart Structures and …, 2022 - dbpia.co.kr
Concrete is a most utilized material in the construction industry that have main components.
The strength of concrete can be improved by adding some admixtures. Evaluating the …
The strength of concrete can be improved by adding some admixtures. Evaluating the …
Optimization of cost and mechanical properties of concrete with admixtures using MARS and PSO
RS Benemaran, M Esmaeili-Falak - Computers and Concrete, An …, 2020 - dbpia.co.kr
The application of multi-variable adaptive regression spline (MARS) in predicting he long-
term compressive strength of a concrete with various admixtures has been investigated in …
term compressive strength of a concrete with various admixtures has been investigated in …
Finite element modelling and theoretical predictions of FRP-reinforced concrete columns confined with various FRP-tubes
The present research work has endeavored to investigate the structural behavior of fiber
reinforced polymer (FRP) reinforced concrete columns confined with FRP-tubes under axial …
reinforced polymer (FRP) reinforced concrete columns confined with FRP-tubes under axial …
Forecasting strength of CFRP confined concrete using multi expression programming
This study provides the application of a machine learning-based algorithm approach names
“Multi Expression Programming”(MEP) to forecast the compressive strength of carbon fiber …
“Multi Expression Programming”(MEP) to forecast the compressive strength of carbon fiber …
Prediction of properties of FRP-confined concrete cylinders based on artificial neural networks
Recently, the use of fiber-reinforced polymers (FRP)-confinement has increased due to its
various favorable effects on concrete structures, such as an increase in strength and …
various favorable effects on concrete structures, such as an increase in strength and …
Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming
JC Lim, M Karakus, T Ozbakkaloglu - Computers & Structures, 2016 - Elsevier
A large database consisting of 832 axial compression tests results of fiber reinforced
polymer (FRP)-confined concrete specimens was assembled. Using the test database …
polymer (FRP)-confined concrete specimens was assembled. Using the test database …
Structural performance of FRP-RC compression members wrapped with FRP composites
The literature is deficient for the theoretical predictions of the axial loading capacity of Fiber
Reinforced Polymers (FRP) reinforced concrete-filled FRP tube (CFFT) columns. The …
Reinforced Polymers (FRP) reinforced concrete-filled FRP tube (CFFT) columns. The …
Innovative approach for moment capacity estimation of spirally reinforced concrete columns using swarm intelligence–based algorithms and neural network
The purpose of this paper is to present an innovative equation to predict the moment
capacity of spirally reinforced concrete columns with high accuracy using a combination of …
capacity of spirally reinforced concrete columns with high accuracy using a combination of …
[PDF][PDF] Artificial neural network model using ultrasonic test results to predict compressive stress in concrete
This study focused on modeling the behavior of the compressive stress using the average
strain and ultrasonic test results in concrete cubes as input parameters. Optimum feed …
strain and ultrasonic test results in concrete cubes as input parameters. Optimum feed …