Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks.

Saved in:
Bibliographic Details
Title: Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks.
Authors: Garzón-Roca, Julio1, Adam, Jose M.1 joadmar@upv.es, Sandoval, Cristian2, Roca, Pere3
Source: Computers & Structures. Sep2013, Vol. 125, p145-152. 8p.
Subjects: Masonry, Brick walls, Cement, Clay, Artificial neural networks, Estimation theory, Data analysis
Abstract: Highlights: [•] Masonry walls made of cement mortar and clay bricks are investigated. [•] Artificial Neural Networks are used. [•] The network is trained with around 1950 data items. [•] An estimation for the bearing capacity of brick masonry is obtained. [ABSTRACT FROM AUTHOR]
Copyright of Computers & Structures is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:Highlights: [•] Masonry walls made of cement mortar and clay bricks are investigated. [•] Artificial Neural Networks are used. [•] The network is trained with around 1950 data items. [•] An estimation for the bearing capacity of brick masonry is obtained. [ABSTRACT FROM AUTHOR]
ISSN:00457949
DOI:10.1016/j.compstruc.2013.05.006