New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes: An Evolutionary Approach

Experimental Investigation of Hybrid Carbon Nanotubes and Graphite Nanoplatelets on Rheology, Shrinkage, Mechanical, and Microstructure of SCCM

(2020) Furqan Farooq et al.   Materials

Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete

(2020) Dong Van Dao et al.   Materials

Performance evaluation of recycled aggregate concrete-filled steel tubes under different loading conditions: Database analysis and modelling

(2020) Jinjun Xu et al.   Journal of Building Engineering

Practical formula for predicting axial strength of circular-CFST columns considering size effect

(2020) Chang Yang et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Depth detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion and decision tree

(2020) Dongdong Chen et al.   MEASUREMENT

Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression

(2020) Hung Quang Nguyen et al.   Materials

Post-fire compressive strength of recycled PET aggregate concrete reinforced with steel fibers: Optimization and prediction via RSM and GEP

(2020) Mahdi Nematzadeh et al.   CONSTRUCTION AND BUILDING MATERIALS

Hybrid BART-based models optimized by nature-inspired metaheuristics to predict ultimate axial capacity of CCFST columns

(2020) Nguyen-Vu Luat et al.   ENGINEERING WITH COMPUTERS

A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns

(2020) Sy Hung Mai et al.   ENGINEERING WITH COMPUTERS

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

(2020) Quang Hung Nguyen et al.   MOLECULES

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models

(2020) Hai-Bang Ly et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of the flexural behavior of corroded concrete beams using combined method

(2020) Hisham Alabduljabbar et al.   Structures

Damage evaluation of H-section steel columns under impulsive blast loads via gene expression programming

(2020) Mohammad Momeni et al.   ENGINEERING STRUCTURES

Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete

(2020) Muhammad Faisal Javed et al.   Crystals

Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers

(2020) Arslan Akbar et al.   Journal of Building Engineering

Ultimate Axial Strength of Concrete-Filled Double Skin Steel Tubular Column Sections

(2019) S. İpek et al.   Advances in Civil Engineering

Prediction model on the compressive strength of recycled aggregate concrete filled steel tube columns

(2019) Abdikarim Idiris Nour et al.   COMPOSITES PART B-ENGINEERING

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

(2019) Lu Minh Le et al.   Materials

Experimental Study on Axial Compression Behavior and Bearing Capacity Analysis of High Titanium Slag CFST Columns

(2019) Zhou et al.   Applied Sciences-Basel

Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches

(2019) Dong Dao et al.   Applied Sciences-Basel

Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

(2019) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Gene expression programming for evaluation of aggregate angularity effects on permanent deformation of asphalt mixtures

(2019) Lee P. Leon et al.   CONSTRUCTION AND BUILDING MATERIALS

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

(2019) Payam Sarir et al.   ENGINEERING WITH COMPUTERS

Optimal Design of the Cement, Fly Ash, and Slag Mixture in Ternary Blended Concrete Based on Gene Expression Programming and the Genetic Algorithm

(2019) Wang   Materials

Prediction of Ultimate Axial Capacity of Square Concrete-Filled Steel Tubular Short Columns Using a Hybrid Intelligent Algorithm

(2019) Qiubing Ren et al.   Applied Sciences-Basel

Estimation and prediction of construction cost index using neural networks, time series, and regression

(2019) Yasser Elfahham   Alexandria Engineering Journal

Prediction of concrete coefficient of thermal expansion and other properties using machine learning

(2019) Vanessa Nilsen et al.   CONSTRUCTION AND BUILDING MATERIALS

A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm

(2019) Qinghua Han et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction and Analysis of the Residual Capacity of Concrete-Filled Steel Tube Stub Columns under Axial Compression Subjected to Combined Freeze–Thaw Cycles and Acid Rain Corrosion

(2019) Zhang et al.   Materials

Steel crack depth estimation based on 2D images using artificial neural networks

(2019) Yasser S. Mohamed et al.   Alexandria Engineering Journal

Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming

(2019) Muhammad Farjad Iqbal et al.   JOURNAL OF HAZARDOUS MATERIALS

Explicit Simulation of Circular CFST Stub Columns with External Steel Confinement under Axial Compression

(2019) Faesal Alatshan et al.   Materials

Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams

(2019) Hai-Bang Ly et al.   Applied Sciences-Basel

Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model

(2019) Yuantian Sun et al.   Advances in Civil Engineering

New prediction models for unconfined compressive strength of geopolymer stabilized soil using multi-gen genetic programming

(2018) Sepehr Soleimani et al.   MEASUREMENT

Experimental and numerical behaviour of eccentrically loaded high strength concrete filled high strength square steel tube stub columns

(2018) Guochang Li et al.   THIN-WALLED STRUCTURES

Numerical evaluation of localization and softening behavior of concrete confined by steel tubes

(2018) Rodolfo Mendoza et al.   Structural Concrete

Axial Compressive Behavior of Square CFST Columns through Direct Measurement of Load Components

(2018) Hong-Song Hu et al.   JOURNAL OF STRUCTURAL ENGINEERING

Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis

(2018) Ghazi Bahroz Jumaa et al.   Advances in Civil Engineering

Concrete filled double circular steel tube (CFDCST) stub columns

(2017) Talha Ekmekyapar et al.   ENGINEERING STRUCTURES

FE modelling of the flexural behaviour of square and rectangular steel tubes filled with normal and high strength concrete

(2017) Muhammad Faisal Javed et al.   THIN-WALLED STRUCTURES

Effective stress-strain relationships for analysis of noncompact and slender filled composite (CFT) members

(2016) Zhichao Lai et al.   ENGINEERING STRUCTURES

Ultimate capacity prediction of axially loaded CFST short columns

(2016) Esra Mete Güneyisi et al.   International Journal of Steel Structures

Assessment of artificial neural network and genetic programming as predictive tools

(2015) Amir H. Gandomi et al.   ADVANCES IN ENGINEERING SOFTWARE

Developments and advanced applications of concrete-filled steel tubular (CFST) structures: Members

(2014) Lin-Hai Han et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Local buckling and concrete confinement of concrete-filled box columns under axial load

(2012) Cheng-Cheng Chen et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Novel Approach to Strength Modeling of Concrete under Triaxial Compression

(2012) Amir Hossein Gandomi et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Suggested empirical models for the axial capacity of circular CFT stub columns

(2010) Zhao-Hui Lu et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures

(2010) Amir Hossein Gandomi et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Genetic Programming Approach for Prediction of Local Scour Downstream of Hydraulic Structures

(2008) Aytac Guven et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

On Some Aspects of Variable Selection for Partial Least Squares Regression Models

(2007) Partha Pratim Roy et al.   Quantitative structure-activity relationships & combinatorial science