Machine Learning in Concrete Technology: Machine Learning: Concrete Technology - Couverture souple

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

Couverture souple

ISBN 10 : 3639356845 ISBN 13 : 9783639356847

Editeur : VDM Verlag Dr. Müller, 2011

Synopsis

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.

Détails de l'édition

• Éditeur: VDM Verlag Dr. Müller
• Date d'édition: 2011
• Langue: anglais
• ISBN 10: 3639356845
• ISBN 13: 9783639356847
• Reliure: Broché
• Nombre de pages: 84
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible