Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP

Predictive modelling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners

(2021) Furqan Farooq et al.   JOURNAL OF CLEANER PRODUCTION

Performance evaluation of sustainable geopolymer concrete produced from ferrochrome slag and silica fume

(2021) Sanghamitra Jena et al.   European Journal of Environmental and Civil Engineering

Incorporation of metakaolin and nanosilica in blended cement mortar and concrete- A review

(2021) A.A. Raheem et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm

(2021) Ayaz Ahmad et al.   Materials

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

(2021) Mohsin Ali Ali Khan et al.   Materials

Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete

(2021) Muhammad Izhar Shah et al.   Sustainability

Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest

(2021) Mohsin Ali Khan et al.   Advances in Civil Engineering

Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material

(2021) Ayaz Ahmad et al.   Materials

A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash

(2021) Furqan Farooq et al.   Materials

Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature

(2021) Ayaz Ahmad et al.   Materials

A comparative investigation using machine learning methods for concrete compressive strength estimation

(2021) Kadir Güçlüer et al.   Materials Today Communications

Geopolymer concrete as sustainable material: A state of the art review

(2021) Furqan Farooq et al.   CONSTRUCTION AND BUILDING MATERIALS

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

(2020) Dong Van Dao et al.   Materials

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

(2020) Dong Van Dao et al.   Sustainability

An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete

(2020) Taihao Han et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction Models for the Mechanical Properties of Self-Compacting Concrete with Recycled Rubber and Silica Fume

(2020) Robert Bušić et al.   Materials

Life cycle greenhouse gas emissions of concrete containing supplementary cementitious materials: cut-off vs. substitution

(2020) Alessandro Arrigoni et al.   JOURNAL OF CLEANER PRODUCTION

Influence of Binary Blend of Corn Cob Ash and Glass Powder as Partial Replacement of Cement in Concrete

(2020) Naraindas Bheel et al.   Silicon

Estimating strength properties of geopolymer self-compacting concrete using machine learning techniques

(2020) Paul O. Awoyera et al.   Journal of Materials Research and Technology-JMR&T

A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)

(2020) Furqan Farooq et al.   Applied Sciences-Basel

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

(2020) Muhammad Faisal Javed et al.   Crystals

Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete

(2020) Fahid Aslam et al.   Advances in Civil Engineering

Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite

(2020) Amir Ali Shahmansouri et al.   JOURNAL OF CLEANER PRODUCTION

Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers

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

Artificial neural network forecast of monthly mean daily global solar radiation of selected locations based on time series and month number

(2019) Chigbogu Godwin Ozoegwu   JOURNAL OF CLEANER PRODUCTION

Deep learning–based autonomous concrete crack evaluation through hybrid image scanning

(2019) Keunyoung Jang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression

(2019) Junbo Sun et al.   CONSTRUCTION AND BUILDING MATERIALS

Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment

(2019) Hao Ling et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine Learning Techniques in Concrete Mix Design

(2019) Patryk Ziolkowski et al.   Materials

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

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

Prediction of fresh and hardened properties of self-compacting concrete using support vector regression approach

(2019) Prasenjit Saha et al.   NEURAL COMPUTING & APPLICATIONS

Silica fume and waste glass in cement concrete production: A review

(2019) Ankur Mehta et al.   Journal of Building Engineering

Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete

(2019) Mohammad Azimi-Pour et al.   CONSTRUCTION AND BUILDING MATERIALS

Mechanical and durability properties of sustainable self-compacting concrete with recycled concrete aggregate and fly ash, slag and silica fume

(2019) Zhanggen Guo et al.   CONSTRUCTION AND BUILDING MATERIALS

Complementary use of industrial solid wastes to produce green materials and their role in CO2 reduction

(2019) Changzai Ren et al.   JOURNAL OF CLEANER PRODUCTION

Compressive strength prediction of recycled concrete based on deep learning

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

Green Concrete mix using solid waste and nanoparticles as alternatives – A review

(2018) Vinita Vishwakarma et al.   CONSTRUCTION AND BUILDING MATERIALS

Green concrete composite incorporating fly ash with high strength and fracture toughness

(2018) Grzegorz Ludwik Golewski   JOURNAL OF CLEANER PRODUCTION

Prediction model for optimized self-compacting concrete with fly ash using response surface method based on fuzzy classification

(2018) Sundari Selvaraj et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of compressive strength of self-compacting concrete by ANFIS models

(2018) Behnam Vakhshouri et al.   NEUROCOMPUTING

Modeling the Fresh and Hardened Stage Properties of Self-Compacting Concrete using Random Kitchen Sink Algorithm

(2018) Dhanya Sathyan et al.   International Journal of Concrete Structures and Materials

Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete

(2018) Palika Chopra et al.   Advances in Civil Engineering

Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine

(2018) Harun Tanyildizi   Advances in Civil Engineering

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

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

(2018) Ali Behnood et al.   JOURNAL OF CLEANER PRODUCTION

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

(2018) Xiao Liang   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Estimating the optimal mix design of silica fume concrete using biogeography-based programming

(2018) Emadaldin Mohammadi Golafshani et al.   CEMENT & CONCRETE COMPOSITES

Impact of the selection of functional unit on the life cycle assessment of green concrete

(2017) Daman K. Panesar et al.   INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT

Self-compacting concrete strength prediction using surrogate models

(2017) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

M5' and Mars Based Prediction Models for Properties of Self-compacting Concrete Containing Fly Ash

(2017) Ali Kaveh   Periodica Polytechnica-Civil Engineering

Prediction of self-compacting concrete elastic modulus using two symbolic regression techniques

(2016) Emadaldin Mohammadi Golafshani et al.   AUTOMATION IN CONSTRUCTION

A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks

(2016) S. Chithra et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

Prediction of properties of self-compacting concrete containing fly ash using artificial neural network

(2016) Omar Belalia Douma et al.   NEURAL COMPUTING & APPLICATIONS

Assessment of artificial neural network and genetic programming as predictive tools

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

Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength

(2015) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

RETRACTED: Estimating unconfined compressive strength of cockle shell–cement–sand mixtures using soft computing methodologies

(2015) Shervin Motamedi et al.   ENGINEERING STRUCTURES

Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

(2012) Athanasios Tsanas et al.   ENERGY AND BUILDINGS

Global strategies and potentials to curb CO2 emissions in cement industry

(2012) Emad Benhelal et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks

(2011) Rafat Siddique et al.   ADVANCES IN ENGINEERING SOFTWARE

Silica fume admixture effect on the dynamic properties of concrete

(2011) V.T. Giner et al.   CONSTRUCTION AND BUILDING MATERIALS

A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems

(2011) Amir Hossein Gandomi et al.   NEURAL COMPUTING & APPLICATIONS

Utilization of silica fume in concrete: Review of durability properties

(2011) Mohammad Iqbal Khan et al.   RESOURCES CONSERVATION AND RECYCLING

Combined effect of silica fume and steel fibers on the impact resistance and mechanical properties of concrete

(2010) Mahmoud Nili et al.   INTERNATIONAL JOURNAL OF IMPACT ENGINEERING

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS

Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures

(2007) Ali Behnood et al.   CEMENT & CONCRETE COMPOSITES