Kumar Shaswat

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 100
• Erscheinungstermin: 28. September 2018
• Englisch
• Abmessung: 220mm x 150mm x 6mm
• Gewicht: 167g
• ISBN-13: 9783330027879
• ISBN-10: 3330027878
• Artikelnr.: 54407838

Autorenporträt

Shaswat, Kumar
A Civil Engineer, currently pursuing PhD from Bennett University. Working in the field of Deep Learning Application in Civil Engineering and Structural Health Monitoring.