Neural Models for Unconfined Compressive Strength of Kaolin Clay Mixed with Pond Ash, Rice Husk Ash and Cement

Neural Models for Unconfined Compressive Strength of Kaolin Clay Mixed with Pond Ash, Rice Husk Ash and Cement

In this study an Artificial Neural Network (ANN) model was used to predict the Unconfined Compressive Strength (UCS) of Kaolin clay mixed with pond ash, rice husk ash and cement content model under different curing period. The input parameters included percentages of admixtures added along with clay...

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Bibliographic Details
Main Authors: Akash Priyadarshee, Sunayana Chandra, Deepak Gupta, Vikas Kumar
Format: Article
Language:English
Published: Pouyan Press 2020-04-01
Series:Journal of Soft Computing in Civil Engineering
Subjects:
kaolin clay
artificial neural network
pond ash
rice husk ash
cement and unconfined compressive strength
Online Access:http://www.jsoftcivil.com/article_107849_766ea24c208b78dd6df2cce83c9eedf9.pdf

Internet

http://www.jsoftcivil.com/article_107849_766ea24c208b78dd6df2cce83c9eedf9.pdf

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