Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete

Experimental investigation and comparative machine-learning prediction of compressive strength of recycled aggregate concrete

(2021) S. Reza Salimbahrami et al.   Soft Computing

AI-Based Formulation for Mechanical and Workability Properties of Eco-Friendly Concrete Made by Waste Foundry Sand

(2021) Amir Tavana Amlashi et al.   JOURNAL OF MATERIALS 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

Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques

(2021) Pourya Alidoust et al.   Journal of Cleaner Production

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

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

Using artificial neural networks to predict the 28-day compressive strength of roller-compacted concrete pavements containing RAP aggregates

(2020) Solomon Debbarma et al.   Road Materials and Pavement Design

Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete

(2019) Amir Tavana Amlashi et al.   JOURNAL OF CLEANER PRODUCTION

Compressive strength of Foamed Cellular Lightweight Concrete simulation: New development of hybrid artificial intelligence model

(2019) Ali Ashrafian et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

(2018) Zaher Mundher Yaseen et al.   ADVANCES IN ENGINEERING SOFTWARE

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

M5P model tree based fast fuzzy maximum power point tracker

(2018) Sid-ali Blaifi et al.   SOLAR ENERGY

Properties of seashell aggregate concrete: A review

(2018) Uchechi G. Eziefula et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of sand content on strength and pore structure of cement mortar

(2017) Jingwu Bu et al.   JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION

Modeling of compressive strength and UPV of high-volume mineral-admixtured concrete using rule-based M5 rule and tree model M5P classifiers

(2015) Yaşar Ayaz et al.   CONSTRUCTION AND BUILDING MATERIALS

The use of seashells as a fine aggregate (by sand substitution) in self-compacting mortar (SCM)

(2015) Brahim Safi et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of oyster shell as an aggregate replacement on the characteristics of concrete

(2015) Seok-Hong Eo et al.   MAGAZINE OF CONCRETE RESEARCH

Properties of ordinary concretes incorporating crushed queen scallop shells

(2015) Héctor Cuadrado-Rica et al.   MATERIALS AND STRUCTURES

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Effect of the type of sand on the fracture and mechanical properties of sand concrete

(2014) Belkacem Belhadj et al.   Advances in Concrete Construction

Valorization of seashell by-products in pervious concrete pavers

(2013) Dang Hanh Nguyen et al.   CONSTRUCTION AND BUILDING MATERIALS

Engineering properties of controlled low-strength materials containing waste oyster shells

(2013) Wen-Ten Kuo et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of recycled aggregate concrete using artificial neural networks

(2012) Z.H. Duan et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of coarse aggregate size and cement paste volume on concrete behavior under high triaxial compression loading

(2011) Xuan Hong Vu et al.   CONSTRUCTION AND BUILDING MATERIALS

Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models

(2011) J. Mata   ENGINEERING STRUCTURES

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

(2011) U. Atici   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of FRP-confined compressive strength of concrete using artificial neural networks

(2010) H. Naderpour et al.   COMPOSITE STRUCTURES

A comparative study for the concrete compressive strength estimation using neural network and neuro-fuzzy modelling approaches

(2010) Mahmut Bilgehan   Nondestructive Testing and Evaluation

Effect of partial replacement of sand with dry oyster shell on the long-term performance of concrete

(2009) Eun-Ik Yang et al.   CONSTRUCTION AND BUILDING MATERIALS

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