Data Analytics Techniques for Concrete Compressive Strength Prediction : Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques

Language: English

Published by LAP LAMBERT Academic Publishing

3330027878 / 9783330027879

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - This Research Work incorporates different Data Analytic Techniques for a comparative study in predicting concrete strength aimed to improve the accuracy of prediction. The methods used are the linear regression with independent variable water to cement ratio (w/c), multi-linear regression with independent variables water/cement ratio, water, cement, blast furnace slag, fly ash, superplasticizers, fine aggregate, coarse aggregate, and age of testing, Regression Trees for better classification and prediction accuracy.

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Bibliographic details

Title
Data Analytics Techniques for Concrete Compressive Strength Prediction : Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques
Author
Kumar Shaswat
Publisher
LAP LAMBERT Academic Publishing
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330027878
ISBN 13
9783330027879
Item weight
167 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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