Bayesian Regularized Artificial Neural Network Model to Predict Strength Characteristics of Fly-Ash and Bottom-Ash Based Geopolymer Concrete

Bayesian Regularized Artificial Neural Network Model to Predict Strength Characteristics of Fly-Ash and Bottom-Ash Based Geopolymer Concrete

Geopolymer concrete (GPC) offers a potential solution for sustainable construction by utilizing waste materials. However, the production and testing procedures for GPC are quite cumbersome and expensive, which can slow down the development of mix design and the implementation of GPC. The basic chara...

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Bibliographic Details
Main Authors: Sakshi Aneja, Ashutosh Sharma, Rishi Gupta, Doo-Yeol Yoo
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Materials
Subjects:
geopolymer concrete
fly-ash
bottom-ash
neural network
sustainability
industrial waste management
Online Access:https://www.mdpi.com/1996-1944/14/7/1729

Internet

https://www.mdpi.com/1996-1944/14/7/1729

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