Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22584
Title: Ultimate strengths of FRC rectangular columns subjected to simulated seismic loading: Experimental database and new models
Authors: CAI, Gaochuang 
DEGEE, Herve 
Issue Date: 2016
Source: Archives of Civil and Mechanical Engineering, 17(1), p. 96-120
Abstract: While there are many experimental investigations focusing on seismic behaviour of fi bre reinforced concrete (FRC) columns, the studies regarding the accuracies and conserva- tiveness of existing seismic strength models of FRC columns are limited. This paper presents a seismic research database of 322 FRC columns obtained from a comprehensive literature investigation. The characteristic of the database and the effects of main variables on the seismic strengths of FRC columns are analyzed in detail, the accuracies of existing strength models of FRC column are also examined as well. In addition, using the database, consider- ing the effects of fi bre and other structural factors on FRC columns, Priestley et al. shear and CFB-FIP moment models are modi fi ed respectively. Results show that the two proposed strength models both present better evaluation than other models. On the other hand, a detailed method for assessing the potential failure mode of FRC column subjected to seismic loads is also suggested using the two strength models. The comparative results verify the feasibilities and accuracies of the assessment method in FRC columns.
Notes: Cai, GC (reprint author), Hasselt Univ, Fac Engn Technol, CERG, H-B106,,Campus Diepenbeek, BE-3590 Diepenbeek, Belgium. gaochuang.cai@uhasselt.be
Keywords: fibre reinforced concrete; shear strength; flexure strength; failure mode; seismic assessment
Document URI: http://hdl.handle.net/1942/22584
ISSN: 1644-9665
e-ISSN: 2083-3318
DOI: 10.1016/j.acme.2016.08.008
ISI #: 000388432200010
Rights: © 2016 Politechnika Wrocławska. Published by Elsevier Sp. z o.o. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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