Predicting Compressive Strength of Concrete Containing Recycled Aggregate Using Modified ANN with Different Optimization Algorithms

Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network

(2020) Mohammad Javad Moradi et al.   Applied Sciences-Basel

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

Machine learning study of the mechanical properties of concretes containing waste foundry sand

(2020) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement

(2020) Ali Ashrafian et al.   Applied Sciences-Basel

Genetic algorithm for predicting shear strength of steel fiber reinforced concrete beam with parameter identification and sensitivity analysis

(2020) Md Shahnewaz et al.   Journal of Building Engineering

A metaheuristic-optimized multi-output model for predicting multiple properties of pervious concrete

(2020) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm

(2020) Amirreza Kandiri et al.   CONSTRUCTION AND BUILDING MATERIALS

Probabilistic bond strength model for reinforcement bar in concrete

(2020) Bo Yu et al.   PROBABILISTIC ENGINEERING MECHANICS

Probabilistic modeling to predict fly-ash concrete corrosion initiation

(2020) Juan Lizarazo-Marriaga et al.   Journal of Building Engineering

A probabilistic upscaling of microstructural randomness in modeling mesoscale elastic properties of concrete

(2020) Vasav Dubey et al.   COMPUTERS & STRUCTURES

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

Artificial neural networks to assess the useful life of reinforced concrete elements deteriorated by accelerated chloride tests

(2020) J.M.P.Q. Delgado et al.   Journal of Building Engineering

Probabilistic model for flexural strength of carbon nanotube reinforced cement-based materials

(2020) Mahyar Ramezani et al.   COMPOSITE STRUCTURES

Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams

(2020) Roya Solhmirzaei et al.   ENGINEERING STRUCTURES

Effect of Shrinkage Reducing Admixture on Drying Shrinkage of Concrete with Different w/c Ratios

(2020) Mahdi Kioumarsi et al.   Materials

Prediction of long-term temperature effect in structural health monitoring of concrete dams using support vector machines with Jaya optimizer and salp swarm algorithms

(2019) Fei Kang et al.   ADVANCES IN ENGINEERING SOFTWARE

Prediction Model of Compressive Strength Development in Concrete Containing Four Kinds of Gelled Materials with the Artificial Intelligence Method

(2019) Guohua Liu et al.   Applied Sciences-Basel

Comparison of artificial neural network (ANN) and response surface methodology (RSM) prediction in compressive strength of recycled concrete aggregates

(2019) Abdelkader Hammoudi et al.   CONSTRUCTION AND BUILDING MATERIALS

Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks

(2019) Jinjun Xu et al.   CONSTRUCTION AND BUILDING 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

Service Life Prediction of Reinforced Concrete in a Sea-Crossing Railway Bridge in Jiaozhou Bay: A Case Study

(2019) Zhe Li et al.   Applied Sciences-Basel

Prediction of triaxial behavior of recycled aggregate concrete using multivariable regression and artificial neural network techniques

(2019) Jinjun Xu et al.   CONSTRUCTION AND BUILDING MATERIALS

Experimental Study on a Prediction Model of the Shrinkage and Creep of Recycled Aggregate Concrete

(2019) Lv et al.   Applied Sciences-Basel

New empirical approach for determining nominal shear capacity of steel fiber reinforced concrete beams

(2019) Masoud Ahmadi et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

(2019) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

Shear strength of reinforced concrete deep beams – A review with improved model by genetic algorithm and reliability analysis

(2019) Md Shahnewaz et al.   Structures

A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

(2018) Dac-Khuong Bui et al.   CONSTRUCTION AND BUILDING MATERIALS

Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete

(2018) Emadaldin Mohammadi Golafshani et al.   JOURNAL OF CLEANER PRODUCTION

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

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

Considering life-cycle environmental impacts and society's willingness for optimizing construction and demolition waste management fee: An empirical study of China

(2018) Jiayuan Wang et al.   JOURNAL OF CLEANER PRODUCTION

Concrete with fine and coarse recycled aggregates: E-modulus evolution, compressive strength and non-destructive testing at early ages

(2018) Mirian Velay-Lizancos et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

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

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

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

Nature-Inspired Metaheuristic Regression System: Programming and Implementation for Civil Engineering Applications

(2016) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Performance evaluation of structural concrete using controlled quality coarse and fine recycled concrete aggregate

(2015) Abdurrahmaan Lotfy et al.   CEMENT & CONCRETE COMPOSITES

Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine

(2015) Ali Nazari et al.   CERAMICS INTERNATIONAL

Predicting the fracture toughness of PNCs: A stochastic approach based on ANN and ANFIS

(2015) Khader M. Hamdia et al.   COMPUTATIONAL MATERIALS SCIENCE

Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm

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

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

Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks

(2015) Vinay Chandwani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Influence of mixed recycled aggregate on the physical – mechanical properties of recycled concrete

(2014) César Medina et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS

(2013) Zhe Yuan et al.   ADVANCES IN ENGINEERING SOFTWARE

Engineering properties of treated recycled concrete aggregate (RCA) for structural applications

(2013) Sallehan Ismail et al.   CONSTRUCTION AND BUILDING MATERIALS

Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength

(2013) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

Experimental analysis of properties of high performance recycled aggregate concrete

(2013) Gonzalez Andreu et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of recycled aggregates containing sulphur on properties of recycled aggregate mortar and concrete

(2012) C. Thomas et al.   COMPOSITES PART B-ENGINEERING

Properties of concrete prepared with low-grade recycled aggregates

(2012) Shi-Cong Kou 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

Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network

(2011) Mucteba Uysal et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

(2011) U. Atici   EXPERT SYSTEMS WITH APPLICATIONS

Influence of recycled aggregates on long term mechanical properties and pore size distribution of concrete

(2010) Shi-Cong Kou et al.   CEMENT & CONCRETE COMPOSITES

Mechanical and elastic behaviour of concretes made of recycled-concrete coarse aggregates

(2010) Valeria Corinaldesi   CONSTRUCTION AND BUILDING MATERIALS

Freeze/thaw durability of concrete with recycled demolition aggregate compared to virgin aggregate concrete

(2010) Alan Richardson et al.   JOURNAL OF CLEANER PRODUCTION

Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete

(2009) Fatih Özcan et al.   ADVANCES IN ENGINEERING SOFTWARE

Neural networks for predicting compressive strength of structural light weight concrete

(2009) Marai M. Alshihri et al.   CONSTRUCTION AND BUILDING MATERIALS

Amine Scrubbing for CO2 Capture

(2009) G. T. Rochelle   SCIENCE

Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored

(2009) Carlos A. Coello Coello   Frontiers of Computer Science in China

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

(2008) Cahit Bilim et al.   ADVANCES IN ENGINEERING SOFTWARE

Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic

(2008) Mustafa Sarıdemir et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE

Failure mechanism of recycled aggregate concrete

(2007) M. Casuccio et al.   CONSTRUCTION AND BUILDING MATERIALS

Advances in CO2 capture technology—The U.S. Department of Energy's Carbon Sequestration Program

(2007) José D. Figueroa et al.   International Journal of Greenhouse Gas Control