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Repeatability and Reliability of New Air and Water Permeability Tests for Assessing the Durability of High Performance Concretes

Yang, Kai, Basheer, Muhammed, Magee, Bryan, Bai, Yun and Long, Adrian (2015) Repeatability and Reliability of New Air and Water Permeability Tests for Assessing the Durability of High Performance Concretes. Journal of Materials in Civil Engineering, 27 (12). pp. 1-11. [Journal article]

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URL: http://ascelibrary.org/doi/full/10.1061/%28ASCE%29MT.1943-5533.0001262

DOI: 10.1061/(ASCE)MT.1943-5533.0001262

Abstract

This paper reports the accuracy of new test methods developed to measure the air andwater permeability of high performance concretes (HPCs). Five representative HPCsand one normal concrete (NC) mixture were tested to estimate both repeatability andreliability of the proposed methods. Repeatability acceptance was adjudged usingvalues of signal-noise ratio (SNR) and discrimination ratio (DR), and reliability wasinvestigated by comparing against standard laboratory-based test methods (RILEMgas permeability test and BS EN water penetration test). With SNR and DR valuessatisfying recommended criteria, it was concluded that test repeatability error has nosignificant influence on results. In addition, the research confirmed strong positiverelationships between the proposed test methods and existing standard permeabilityassessment techniques. Based on these findings, the proposed test methods showstrong potential to become recognised as international methods for determining thepermeability of HPCs.

Item Type:Journal article
Keywords:High-performance concrete (HPC); Permeability testing; Signal-noise ratio (SNR); Discrimination ratio (DR); Reliability; Standard laboratory permeability test.
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Built Environment Research Institute
Built Environment Research Institute > Studies Allied to Built Environment Research (SABER)
ID Code:36882
Deposited By: Dr Bryan Magee
Deposited On:10 Feb 2017 11:58
Last Modified:30 Mar 2017 09:34

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