Machine Learning in Concrete Technology: Machine Learning: Concrete Technology - Tapa blanda

Samui, Pijush; Sekar, S.K.; Kulkarni, Kallyan

 
9783639356847: Machine Learning in Concrete Technology: Machine Learning: Concrete Technology
Tapa blanda
ISBN 10: 3639356845 ISBN 13: 9783639356847
Editorial: VDM Verlag Dr. Müller, 2011

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

Dr. Pijush Samui is an associate professor at CDMM in VIT University, Vellore, India. Dr. S.K. Sekar is the director of CDMM in VIT University. Kallyan Kulkarni is a postgraduate student at VIT university

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Editorial
VDM Verlag Dr. Müller
Año de publicación
2011
Idioma
Inglés
ISBN 10 
3639356845
ISBN 13 
9783639356847
Encuadernación
Tapa blanda
Número de páginas
84
Contacto del fabricante
no disponible
Persona responsable
no disponible