Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete

Modeling the water absorption and compressive strength of geopolymer paving block: An empirical approach

(2020) Jonbi Jonbi et al.   MEASUREMENT

Experimental and analytical investigation of chemical anchors’s behaviour under axial tensile

(2020) Abdullah Müsevitoğlu et al.   MEASUREMENT

Estimating Punching Shear Capacity of Steel Fibre Reinforced Concrete Slabs Using Sequential Piecewise Multiple Linear Regression and Artificial Neural Network

(2019) Nhat-Duc Hoang   MEASUREMENT

The use of machine learning in boron-based geopolymers: Function approximation of compressive strength by ANN and GP

(2019) Ali Bagheri et al.   MEASUREMENT

Prediction of Mechanical Properties of Rubberised Concrete Exposed to Elevated Temperature Using ANN

(2019) Trilok Gupta et al.   MEASUREMENT

A novel study for the estimation of crack propagation in concrete using machine learning algorithms

(2019) Gökhan Bayar et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine learning aided durability and safety analyses on cementitious composites and structures

(2019) Yuguo Yu et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

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

Revisiting the ASTM C876 standard for corrosion of reinforcing steel: On the correlation between corrosion potential and polarization resistance during the curing of different cement mortars

(2018) Guilherme Yuuki Koga et al.   ELECTROCHEMISTRY COMMUNICATIONS

ICA-ANN, ANN and multiple regression models for prediction of surface settlement caused by tunneling

(2018) Mohammad Reza Moghaddasi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Predicting the time to corrosion initiation in reinforced concrete structures exposed to chlorides

(2018) Ueli M. Angst   CEMENT AND CONCRETE RESEARCH

Deep neural network with high-order neuron for the prediction of foamed concrete strength

(2018) Tuan Nguyen et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate

(2017) Jui-Sheng Chou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of chloride diffusion in cement mortar using Multi-Gene Genetic Programming and Multivariate Adaptive Regression Splines

(2017) Nhat-Duc Hoang et al.   MEASUREMENT

Factors influencing half-cell potential measurement and its relationship with corrosion level

(2017) Wanchai Yodsudjai et al.   MEASUREMENT

Corrosion effects on pullout behavior of hooked steel fibers in self-compacting concrete

(2016) Cristina Frazão et al.   CEMENT AND CONCRETE RESEARCH

Corrosion-induced reduction in compressive strength of self-compacting concretes containing mineral admixtures

(2016) M. Ghanooni-Bagha et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting concrete corrosion of sewers using artificial neural network

(2016) Guangming Jiang et al.   WATER RESEARCH

Carbonation-Induced and Chloride-Induced Corrosion in Reinforced Concrete Structures

(2015) Y. Zhou et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Corrosion monitoring of the RC structures in time domain: Part I. Response analysis of the electrochemical transfer function based on complex function approximation

(2015) Guofu Qiao et al.   MEASUREMENT

Investigating the effect of correlation-based feature selection on the performance of support vector machines in reservoir characterization

(2015) Kabiru O. Akande et al.   Journal of Natural Gas Science and Engineering

Residual Strength of Corroded Reinforced Concrete Beams Using an Adaptive Model Based on ANN

(2015) Ashhad Imam et al.   International Journal of Concrete Structures and Materials

Machine learning in concrete strength simulations: Multi-nation data analytics

(2014) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

Quantitative monitoring of pitting corrosion based on 3-D cellular automata and real-time ENA for RC structures

(2014) Guofu Qiao et al.   MEASUREMENT

Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm

(2014) Lukasz Sadowski et al.   NEURAL COMPUTING & APPLICATIONS

Analysis of pitting corrosion on steel under insulation in marine environments

(2013) Susan Caines et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Prediction of Splitting Tensile Strength from Cylinder Compressive Strength of Concrete by Support Vector Machine

(2013) Kezhen Yan et al.   Advances in Materials Science and Engineering

Interpretation of nonlinear relationships between process variables by use of random forests

(2012) Lidia Auret et al.   MINERALS ENGINEERING

Laboratory investigation of reinforcement corrosion initiation and chloride threshold content for self-compacting concrete

(2010) Hui Yu et al.   CEMENT AND CONCRETE RESEARCH

Underwater half-cell corrosion potential bench mark measurements of corroding steel in concrete influenced by a variety of material science and environmental engineering variables

(2010) Raja Rizwan Hussain   MEASUREMENT

Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic

(2009) Mustafa Sarıdemir   ADVANCES IN ENGINEERING SOFTWARE

Visual comparison of software cost estimation models by regression error characteristic analysis

(2009) Nikolaos Mittas et al.   JOURNAL OF SYSTEMS AND SOFTWARE

Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks

(2008) Mustafa Sarıdemir   ADVANCES IN ENGINEERING SOFTWARE

Corrosion rate prediction of 3C steel under different seawater environment by using support vector regression

(2008) Y.F. Wen et al.   CORROSION SCIENCE

Improved estimation in multiple linear regression models with measurement error and general constraint

(2008) Hua Liang et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Predicting the compressive strength of steel fiber added lightweight concrete using neural network

(2007) Fatih Altun et al.   COMPUTATIONAL MATERIALS SCIENCE

Slope reliability analysis using a support vector machine

(2007) Hong-bo Zhao   COMPUTERS AND GEOTECHNICS

Prediction of elastic modulus of normal and high strength concrete by artificial neural networks

(2007) Fuat Demir   CONSTRUCTION AND BUILDING MATERIALS