Application of the Compression Chord Capacity Model to predict the fatigue shear strength of reinforced concrete members without stirrups
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/104509
Título: | Application of the Compression Chord Capacity Model to predict the fatigue shear strength of reinforced concrete members without stirrups |
---|---|
Autor/es: | Cladera, Antoni | Ribas, Carlos | Oller, Eva | Marí, Antonio |
Palabras clave: | Fatigue | Shear strength | Reinforced concrete | Mechanical model |
Fecha de publicación: | 2019 |
Editor: | Editorial Club Universitario |
Cita bibliográfica: | Cladera, Antoni, et al. “Application of the Compression Chord Capacity Model to predict the fatigue shear strength of reinforced concrete members without stirrups”. In: CMMoST 2019: 5th International Conference on Mechanical Models in Structural Engineering, Polytechnic School of Alicante, 23rd – 25th October 2019. San Vicente (Alicante): Editorial Club Universitario, 2019. ISBN 978-84-17924-58-4, pp. 96-102 |
Resumen: | The Compression Chord Capacity Model (CCCM), previously developed by the authors with other colleagues, is a simplified model for the shear strength prediction of reinforced and prestressed concrete members with and without transverse reinforcement, with I, T or rectangular cross-section, which represents a useful tool for structural design and assessment in engineering practice. The principal advantage of the application of a mechanical model is the possibility to extend it to different cases, without the need of empirical calibrations. According to the CCCM, the shear strength depends on the concrete tensile strength. In this communication, the CCCM is extended to assess the fatigue shear strength of RC members just incorporating the equation proposed in Model Code 2010 for the concrete tensile fatigue strength. A good performance of the model was observed when analysing the ratio Vtest/Vpred through a previously published database, showing a low scatter (COV 14.7 %). |
Patrocinador/es: | Esta investigación se ha desarrollado en el marco de dos proyectos cofinanciados por la Agencia Estatal de Investigación y Fondos FEDER: BIA2015-64672-C4-3-R y BIA2015-64672-C4-1-R. |
URI: | http://hdl.handle.net/10045/104509 |
ISBN: | 978-84-17924-58-4 | 978-84-17924-22-5 |
Idioma: | spa |
Tipo: | info:eu-repo/semantics/conferenceObject |
Derechos: | © Los autores |
Revisión científica: | si |
Aparece en las colecciones: | CMMoST 2019 - Libro de Actas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
COMMoST-2019_07.pdf | 1,35 MB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.