Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete

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

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

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

(2020) Muhammad Faisal Javed et al.   Crystals

The application of machine learning methods for prediction of metal sorption onto biochars

(2019) Xinzhe Zhu et al.   JOURNAL OF HAZARDOUS MATERIALS

Performance of Fly Ash Geopolymer Concrete Incorporating Bamboo Ash at Elevated Temperature

(2019) Ishak et al.   Materials

Consolidation assessment using Multi Expression Programming

(2019) Sohrab Sharifi et al.   APPLIED SOFT COMPUTING

Effect of fineness and replacement ratio of ground fly ash on properties of blended cement mortar

(2018) Shihwen Hsu et al.   CONSTRUCTION AND BUILDING MATERIALS

Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model

(2018) Weena Lokuge et al.   CONSTRUCTION AND BUILDING MATERIALS

Optimizing asphalt mix design process using artificial neural network and genetic algorithm

(2018) Haissam Sebaaly et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting PM 10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)

(2018) Sechan Park et al.   JOURNAL OF HAZARDOUS MATERIALS

ANN and GEP prediction for simultaneous effect of nano and micro silica on the compressive and flexural strength of cement mortar

(2018) Mohammad Azimi-Pour 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

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

Assessing the life cycle CO2 emissions of reinforced concrete structures: Four cases from China

(2018) Hui Li et al.   JOURNAL OF CLEANER PRODUCTION

Hybrid ultrasonic-neural prediction of the compressive strength of environmentally friendly concrete screeds with high volume of waste quartz mineral dust

(2018) Łukasz Sadowski et al.   JOURNAL OF CLEANER PRODUCTION

Effect of cement strength class on the prediction of compressive strength of cement mortar using GEP method

(2018) Sahar Mahdinia et al.   CONSTRUCTION AND BUILDING MATERIALS

A huge number of artificial waste material can be supplementary cementitious material (SCM) for concrete production – a review part II

(2017) Evi Aprianti S   JOURNAL OF CLEANER PRODUCTION

A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system

(2017) Qiuju Xie et al.   JOURNAL OF HAZARDOUS MATERIALS

Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming

(2016) Jian C. Lim et al.   COMPUTERS & STRUCTURES

Prediction of the mechanical properties of structural recycled concrete using multivariable regression and genetic programming

(2016) Iris González-Taboada et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network

(2016) Hadi Mashhadban et al.   CONSTRUCTION AND BUILDING MATERIALS

Properties of lightweight fly ash geopolymer concrete containing bottom ash as aggregates

(2016) Ampol Wongsa et al.   CONSTRUCTION AND BUILDING MATERIALS

Investigation of coal bottom ash and fly ash in concrete as replacement for sand and cement

(2016) Mahdi Rafieizonooz et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of palm oil clinker incorporation on properties of pervious concrete

(2016) Hussein Adebayo Ibrahim et al.   CONSTRUCTION AND BUILDING MATERIALS

Investigation of early compressive strength of fly ash-based geopolymer concrete

(2016) Lateef N. Assi et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of cement addition, solution resting time and curing characteristics on fly ash based geopolymer concrete performance

(2016) Ali A. Aliabdo et al.   CONSTRUCTION AND BUILDING MATERIALS

Mechanical properties of fly ash based geopolymer concrete with full and partial cement replacement

(2016) Hamdy K. Shehab et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of recycled aggregate on fly ash geopolymer concrete properties

(2016) Peem Nuaklong et al.   JOURNAL OF CLEANER PRODUCTION

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

(2016) Iman Mansouri et al.   MATERIALS AND STRUCTURES

Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques

(2016) Iman Mansouri 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

Mechanical properties of alkali activated flyash/Kaolin based geopolymer concrete

(2015) F.N. Okoye et al.   CONSTRUCTION AND BUILDING MATERIALS

Durability characteristics of steel fibre reinforced geopolymer concrete

(2015) N. Ganesan et al.   CONSTRUCTION AND BUILDING MATERIALS

NEW DESIGN EQUATIONS FOR ELASTIC MODULUS OF CONCRETE USING MULTI EXPRESSION PROGRAMMING

(2015) Amir H. Gandomi et al.   Journal of Civil Engineering and Management

Application of artificial intelligence techniques to predict the performance of RC beams shear strengthened with NSM FRP rods. Formulation of design equations

(2014) Ricardo Perera et al.   COMPOSITES PART B-ENGINEERING

Effect of the superplasticizer type on the properties of the fly ash blended cement

(2014) E. Tkaczewska   CONSTRUCTION AND BUILDING MATERIALS

Compressive strength of fly-ash-based geopolymer concrete at elevated temperatures

(2014) F. U. A. Shaikh et al.   FIRE AND MATERIALS

Assessing behaviour of fresh and hardened geopolymer concrete mixed with class-F fly ash

(2014) M. Albitar et al.   KSCE Journal of Civil Engineering

Polymorphisms of CHRNA5-CHRNA3-CHRNB4 Gene Cluster and NSCLC Risk in Chinese Population

(2014) Zhijun Li et al.   Translational Oncology

Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS

(2013) A. Sadrmomtazi et al.   CONSTRUCTION AND BUILDING MATERIALS

An evolutionary approach for modeling of shear strength of RC deep beams

(2013) Amir Hossein Gandomi et al.   MATERIALS AND STRUCTURES

A data mining approach to compressive strength of CFRP-confined concrete cylinders

(2013) S.M. Mousavi et al.   STRUCTURAL ENGINEERING AND MECHANICS

The effect of microwave incinerated rice husk ash on the compressive and bond strength of fly ash based geopolymer concrete

(2012) Andri Kusbiantoro 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

Mechanical properties and microstructure analysis of fly ash geopolymeric recycled concrete

(2012) X.S. Shi et al.   JOURNAL OF HAZARDOUS MATERIALS

Novel Approach to Strength Modeling of Concrete under Triaxial Compression

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

Fracture behaviour of heat cured fly ash based geopolymer concrete

(2012) Prabir K. Sarker et al.   MATERIALS & DESIGN

Application of genetic programming (GP) and ANFIS for strength enhancement modeling of CFRP-retrofitted concrete cylinders

(2012) Mostafa Jalal et al.   NEURAL COMPUTING & APPLICATIONS

Effect of mix composition on workability and compressive strength of self-compacting geopolymer concrete

(2011) Muhd Fadhil Nuruddin et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

Gene expression programming based formulations for splitting tensile strength of concrete

(2011) Fatih Özcan   CONSTRUCTION AND BUILDING MATERIALS

Properties of fly ash geopolymer concrete designed by Taguchi method

(2011) Monita Olivia et al.   MATERIALS & DESIGN

Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash

(2010) Mustafa Sarıdemir   CONSTRUCTION AND BUILDING MATERIALS

Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming

(2010) Harun Tanyildizi et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement

(2009) Ricardo Perera et al.   COMPOSITE STRUCTURES

Genetic programming based formulation for fresh and hardened properties of self-compacting concrete containing pulverised fuel ash

(2009) Mohammed Sonebi et al.   CONSTRUCTION AND BUILDING MATERIALS

Multi expression programming: a new approach to formulation of soil classification

(2009) Amir Hossein Alavi et al.   ENGINEERING WITH COMPUTERS

Empirical modeling of fresh and hardened properties of self-compacting concretes by genetic programming

(2007) Erdogan Ozbay et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS