free shipping - safe payment - money back guarantee

Do you like the product? If so, just tell it to your friends!

Description

The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete.

Contributors

Author Pijush Samui

Author S. K. Sekar

Author Kallyan Kulkarni

Product Details

DUIN 485H9HE9SH6

GTIN 9783639356847

Language English

Pages 84

Product type Paperback

Machine Learning in Concrete Technology

Machine Learning: Concrete Technology

Pijush Samui

£42.99

Seller: Dodax EU

Delivery date: between Monday, August 27 and Wednesday, August 29

Condition: New

VAT included - FREE Shipping
1
ADD TO CART ADD TO CART
£42.99
VAT included - FREE Shipping