- -

Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks

Show full item record

Aguilar, V.; Sandoval, C.; Adam Martínez, JM.; Garzón-Roca, J.; Valdebenito, G. (2016). Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks. Structure and Infrastructure Engineering. 12(12):1661-1674. doi:10.1080/15732479.2016.1157824

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83608

Files in this item

Item Metadata

Title: Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks
Author:
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports
Issued date:
Abstract:
This paper analyses the accuracy of a selection of expressions currently available to estimate the in-plane shear strength of reinforced masonry (RM) walls, including those presented in some international masonry codes. ...[+]
Subjects: Reinforced masonry , Experimental database , Shear strength , Neural networks , Sensitivity analysis
Copyrigths: Reserva de todos los derechos
Source:
Structure and Infrastructure Engineering. (issn: 1573-2479 )
DOI: 10.1080/15732479.2016.1157824
Publisher:
Taylor & Francis (Routledge)
Publisher version: http://dx.doi.org/10.1080/15732479.2016.1157824
Thanks:
This work was supported by the Fondo Nacional de Ciencia y Tecnologia de Chile, (Fondecyt de Iniciacion) [grant number 11121161].
Type: Artículo

This item appears in the following Collection(s)

Show full item record