The lack of verification of statements concerning the random variations of mechanical behaviour of concrete cores, supported with statistical approaches, is important. Statistically significant data sets under such conditions are very rare. In this study, the issue is addressed by exploring the mechanical behaviour of cores using probabilistic concepts. Two-parameter Weibull, normal and log-normal distributions are used to fit the test data (strength, elastic modulus and strain at peak stress) of concrete specimens. The Weibull distributions most accurately describe the experimentally measured data. A basic theory of damage mechanics is introduced to deal with stress–strain behaviour of cores. In this theory, a statistical method is used to describe mechanical properties on a mesoscopic scale in order to generate realistic behaviour at a macroscopic scale. It is shown that there is a relatively good coincidence between the theoretical results and the measured data.
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1 December 2013
Research Article|
October 29 2013
Analysis of mechanical properties of concrete cores using statistical approach
Xudong Chen;
Xudong Chen
PhD graduate, College of Civil and Transportation Engineering, Hohai University, Nanjing, China
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Shengxing Wu;
Shengxing Wu
Professor and Chair in Structural Engineering, College of Civil and Transportation Engineering, Hohai University, Nanjing, China
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Jikai Zhou
Jikai Zhou
Professor, College of Civil and Transportation Engineering, Hohai University, Nanjing, China
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Publisher: Emerald Publishing
Revision Received:
April 27 2013
Revision Requested:
August 03 2013
Accepted:
August 28 2013
Online ISSN: 1751-763X
Print ISSN: 0024-9831
ICE Publishing: All rights reserved
2013
Magazine of Concrete Research (2013) 65 (24): 1463–1471.
Article history
Revision Received:
April 27 2013
Revision Requested:
August 03 2013
Accepted:
August 28 2013
Citation
Chen X, Wu S, Zhou J (2013), "Analysis of mechanical properties of concrete cores using statistical approach". Magazine of Concrete Research, Vol. 65 No. 24 pp. 1463–1471, doi: https://doi.org/10.1680/macr.13.00113
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