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Repeatability of concrete rebound hardness using comprehensive statistical analysis
- Source :
- Journal of King Saud University - Engineering Sciences. 35:167-173
- Publication Year :
- 2023
- Publisher :
- Elsevier BV, 2023.
-
Abstract
- The reliability of the result significantly affects the use of the Coefficient of Variation (within the test variation), which reflects the variability of the concrete properties rather than the standard deviation. For the estimation of reliability and precision, comprehensive statistical analysis (within test variation) is conducted on 534 test samples using a rebound hammer. Different standards, like BIS, EN, ACI, and ASTM, are used in this study to compare the test results. Empirical research revealed that there are contradictions in literature as well as the standards used in many countries. The present paper focuses on detailed investigations of uncertainty measurements of the surface hardness test by statistical parameters (range of rebound index, standard deviation, and Coefficient of Variation). The unbiased estimate of the variability parameters from the published results has been verified concerning to the European standard. Concrete parameters namely cement type, water to cement ratio, compaction deficiency, curing condition, and elevated temperature have an impact on the output of the rebound hardness in terms of the variability of the compressive strength. Based on the results, the authors are willing to propose amendments to the Indian code graciously in compliance with the variability of the rebound hammer.
- Subjects :
- Environmental Engineering
020209 energy
General Chemical Engineering
Mechanical Engineering
Coefficient of variation
0211 other engineering and technologies
General Engineering
02 engineering and technology
Repeatability
Hardness
Catalysis
Standard deviation
law.invention
Compressive strength
law
021105 building & construction
Statistics
0202 electrical engineering, electronic engineering, information engineering
Range (statistics)
Hammer
Electrical and Electronic Engineering
Reliability (statistics)
Civil and Structural Engineering
Mathematics
Subjects
Details
- ISSN :
- 10183639
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University - Engineering Sciences
- Accession number :
- edsair.doi...........f110ab6c7c39cdf5b1dcb0d6d5f12093
- Full Text :
- https://doi.org/10.1016/j.jksues.2021.02.013