Analysis And Assessment of Behaviour of Infilled Frames: Using Artificial Neural Networks - Couverture souple

MINI, K.M.; K.Subramanian, .

 
9783844310689: Analysis And Assessment of Behaviour of Infilled Frames: Using Artificial Neural Networks
Couverture souple
ISBN 10 : 3844310681 ISBN 13 : 9783844310689
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

This monograph presents an artificial neural network (ANN) model for the analysis and assessment of infilled frames subjected to lateral loading. A multilayer feedforward network with backpropagation learning algorithm has been adopted to model the behaviour of infilled frames. Both reinforced concrete and steel frames were considered in the analysis. Based on a parametric study the optimum architecture of the network was arrived at, and it is observed that the trained networks are able to predict the failure loads and displacement of both reinforced concrete and steel infilled frames for all the test patterns satisfactorily. The equations which were formed based on a regression analysis between the predicted results and the actual results showed good agreement with new set of data. Hence, these equations can be used to obtain the actual capacity of the infilled frames. An experimental investigation also has been carried out in this monograph to check the efficacy of the developed model. The monograph focuses on the work carried by the first author at Anna University, Chennai, India; as a part of her doctoral study.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This monograph presents an artificial neural network (ANN) model for the analysis and assessment of infilled frames subjected to lateral loading. A multilayer feedforward network with backpropagation learning algorithm has been adopted to model the behaviour of infilled frames. Both reinforced concrete and steel frames were considered in the analysis. Based on a parametric study the optimum architecture of the network was arrived at, and it is observed that the trained networks are able to predict the failure loads and displacement of both reinforced concrete and steel infilled frames for all the test patterns satisfactorily. The equations which were formed based on a regression analysis between the predicted results and the actual results showed good agreement with new set of data. Hence, these equations can be used to obtain the actual capacity of the infilled frames. An experimental investigation also has been carried out in this monograph to check the efficacy of the developed model. The monograph focuses on the work carried by the first author at Anna University, Chennai, India; as a part of her doctoral study.

Biographie de l'auteur

Dr.K.M.Mini is currently working as Associate Professor in the Department of Civil Engineering at Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. Her research areas include soft computing applications in structural engineering, tall structures, earthquake resistant analysis and design, and composite mechanics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844310681
ISBN 13 
9783844310689
Reliure
Broché
Nombre de pages
332
Coordonnées du fabricant
non disponible
Personne responsable
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