Chen, C, Jin, W, Ding, H et al. (3 more authors) (2014) Experimental research on concrete strength prediction by Limpet pull-off test in China. International Journal of Structural Engineering, 5 (1). pp. 1-12. ISSN 1758-7328
Abstract
Using Limpet pull-off test for concrete strength prediction has now been accepted in standards of the UK, North America, Holland and some other countries. For its application in China, pull-off tests were carried out by using the Limpet in this study. Concrete specimens with four different mixtures and strength classes were cast, representing the normal and the high performance concretes commonly used in China. After different ages, the pull-off tensile strength was determined by using the Limpet and the compressive strength was obtained by carrying out cube crushing test using a WE-100 universal testing machine. To reflect the correlation between the pull-off tensile strength and the cube compressive strength, two types of curve were used for regression, y = axb and y = aebx respectively. The regression efficiency of the two curves was compared.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper published in International Journal of Structural Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Limpet, pull-off tensile strength, compressive strength, correlation curve, structural engineering |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) > Institute for Resilient Infrastructure (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 May 2016 13:40 |
Last Modified: | 17 Jan 2018 13:22 |
Published Version: | http://dx.doi.org/10.1504/IJSTRUCTE.2014.058678 |
Status: | Published |
Publisher: | Inderscience |
Identification Number: | 10.1504/IJSTRUCTE.2014.058678 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:93483 |