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Prediction of the transfer length of prestressing strands with neural networks

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Prediction of the transfer length of prestressing strands with neural networks

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Martí Vargas, JR.; Ferri Rabasa, FJ.; Yepes, V. (2013). Prediction of the transfer length of prestressing strands with neural networks. Computers and Concrete. 12(2):187-209. doi:10.12989/cac.2013.12.2.187

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/60624

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Title: Prediction of the transfer length of prestressing strands with neural networks
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil
Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat
Issued date:
Abstract:
This paper presents a study on the prediction of transfer length of 13 mm seven-wire prestressing steel strand in pretensioned prestressed concrete members with rectangular cross-section including several material properties ...[+]
Subjects: Transfer length , Prestressing strand , Prestressed concrete , Neural networks , Machine learning
Copyrigths: Cerrado
Source:
Computers and Concrete. (issn: 1598-8198 )
DOI: 10.12989/cac.2013.12.2.187
Publisher:
Techno-Press
Publisher version: http://dx.doi.org/10.12989/cac.2013.12.2.187
Thanks:
Funding for this study were received from the Spanish Ministry of Science and Innovation and ERDF (Research Project BIA2006-05521, BIA2009-12722, and BIA2011-23602) and from the Spanish Ministry of Education (TIN2009-14205-C04-03 ...[+]
Type: Artículo

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