Artificial Neural Networks (ANN) Based Compressive Strength Prediction of AFRP Strengthened Steel Tube

Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods

(2019) H. Naderpour et al.   COMPOSITE STRUCTURES

Fatigue damage effect approach by artificial neural network

(2019) Moises Jimenez-Martinez et al.   INTERNATIONAL JOURNAL OF FATIGUE

Experimental and FEM analysis of AFRP strengthened short and long steel tube under axial compression

(2019) Abderrahim Djerrad et al.   THIN-WALLED STRUCTURES

Compressive strength prediction of recycled concrete based on deep learning

(2018) Fangming Deng et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction and sensitivity analysis of compressive strength in segregated lightweight concrete based on artificial neural network using ultrasonic pulse velocity

(2018) A.J. Tenza-Abril et al.   CONSTRUCTION AND BUILDING MATERIALS

Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

(2018) Mulusew Aderaw Getahun et al.   CONSTRUCTION AND BUILDING MATERIALS

A new predictive model for the minimum strength requirement of steel moment frames using artificial neural network

(2018) Amir Ahmad Hedayat et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Experimental study on influence of proposed FRP-strengthening techniques on RC circular short columns considering different types of damage index

(2018) M. Haji et al.   COMPOSITE STRUCTURES

Nonlinear finite element analysis of short and long reinforced concrete columns confined with GFRP tubes

(2017) Maha Hussein Abdallah et al.   JOURNAL OF REINFORCED PLASTICS AND COMPOSITES

Behavior of CFRP strengthened CHS under axial static and axial cyclic loading

(2015) A Punitha Kumar et al.   KSCE Journal of Civil Engineering

FRP wrapping for the rehabilitation of Circular Hollow Section (CHS) tubular steel connections

(2015) M. Lesani et al.   THIN-WALLED STRUCTURES

Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load

(2014) M. Ahmadi et al.   Archives of Civil and Mechanical Engineering

Axial loading tests and FEM analysis of slender square hollow section (SHS) stub columns strengthened with carbon fiber reinforced polymers

(2014) Jai-Woo Park et al.   International Journal of Steel Structures

Predicting Stress and Strain of FRP-Confined Square/Rectangular Columns Using Artificial Neural Networks

(2014) Thong M. Pham et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Behavior of square and rectangular ultra high-strength concrete-filled FRP tubes under axial compression

(2013) Togay Ozbakkaloglu   COMPOSITES PART B-ENGINEERING

An approach for estimating the capacity of RC beams strengthened in shear with FRP reinforcements using artificial neural networks

(2012) H.M. Tanarslan et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

Estimation of flexural capacity of quadrilateral FRP-confined RC columns using combined artificial neural network

(2012) Mehmet Alpaslan Köroğlu et al.   ENGINEERING STRUCTURES

Buckling strength of slender circular tubular steel braces strengthened by CFRP

(2012) X.Y. Gao et al.   ENGINEERING STRUCTURES

Prediction of FRP-confined compressive strength of concrete using artificial neural networks

(2010) H. Naderpour et al.   COMPOSITE STRUCTURES

Non-linear behaviour and load-carrying capacity of CFRP-strengthened lipped channel steel columns

(2008) Nuno Silvestre et al.   ENGINEERING STRUCTURES

Axial capacity and design of thin-walled steel SHS strengthened with CFRP

(2008) M.R. Bambach et al.   THIN-WALLED STRUCTURES

Strength of circular hollow sections (CHS) tubular beams externally reinforced by carbon FRP sheets in pure bending

(2008) J. Haedir et al.   THIN-WALLED STRUCTURES