Toward sustainability in optimizing the fly ash concrete mixture ingredients by introducing a new prediction algorithm
- 7 June 2021
- journal article
- research article
- Published by Springer Nature in Environment, Development and Sustainability
- Vol. 24 (2) , 2767-2803
Abstract
No abstract availableKeywords
This publication has 92 references indexed in Scilit:
- Mix proportions and mechanical properties of concrete containing very high-volume of Class F fly ashConstruction and Building Materials, 2013
- Field investigation of high-volume fly ash pavement concreteResources, Conservation and Recycling, 2013
- Green Concrete for Sustainable Life-CycleApplied Mechanics and Materials, 2011
- Carbonation Test Study on Low Calcium Fly Ash ConcreteApplied Mechanics and Materials, 2010
- Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS modelsConstruction and Building Materials, 2010
- Analysis of durability of high performance concrete using artificial neural networksConstruction and Building Materials, 2009
- Influence of fly ash fineness on the chloride penetration of concreteConstruction and Building Materials, 2007
- Predicting the compressive strength and slump of high strength concrete using neural networkConstruction and Building Materials, 2006
- A study on carbonation depth prediction for fly ash concreteConstruction and Building Materials, 2006
- Accelerated carbonation and testing of concrete made with fly ashConstruction and Building Materials, 2003