Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/16089
Title: Canadian design standard for slender reinforced concrete columns
Authors: Zhu, Ning.
Keywords: DRNTU::Engineering::Civil engineering::Structures and design
Issue Date: 2009
Abstract: Most columns are termed as short columns and fail when the material reaches its ultimate capacity under the applied loads. However, columns are subjected to moment as well, with the increase of length (on the trend to be slender), there is a possibility that columns fail due to lateral deflection. For the procedure of column design, axial loading is firstly treated. Methods are then given for design of sections subjected to both axial loads and moment. Acceptable design methods to provide a reliable, economic and safe solution are very important. The purpose of this project is to evaluate several kinds of design methods and to recommend the suitability of each kind of method under different conditions. In this project, Canadian Design Method CAN/CSA-A23.3 (2004) is of the major interest and used to predict the failure loads of 150 slender reinforced high strength concrete columns. The results are then compared with predictions from ACI318 (2008), EC2 (2004), BS8110 (1997), P-Delta method, Transformation method and experimental data. It can be concluded that CAN/CSA-A23.3 (2004) generally predicts lower failure loads of columns and is more conservative than the rest of other five prediction methods, however, CAN/CSA-A23.3 (2004) is not applicable for prediction of very slender column, where slenderness ratio is greater than 100, for which second-order analysis is required. Columns with lower initial eccentricity/depth ratio have faster decreasing rate of failure loads than columns with higher initial eccentricity/depth ratio. In the case that slenderness ratio is between 30 and 60, ACI318 (2008) and Transformation method predicts the most accurate columns’ failure loads. When slenderness ratio is in the range from 60 to 100, BS8110 (1997) predicts the most accurate results. The results predicted form P-delta method and Transformation are generally quite close.
URI: http://hdl.handle.net/10356/16089
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)

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