Repeatability of concrete rebound hardness using comprehensive statistical analysis Article Swipe
Hemraj R. Kumavat
,
Narayan R. Chandak
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.jksues.2021.02.013
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.jksues.2021.02.013
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jksues.2021.02.013
- OA Status
- hybrid
- Cited By
- 6
- References
- 16
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3134918261Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.jksues.2021.02.013Digital Object Identifier
- Title
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Repeatability of concrete rebound hardness using comprehensive statistical analysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-03Full publication date if available
- Authors
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Hemraj R. Kumavat, Narayan R. ChandakList of authors in order
- Landing page
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https://doi.org/10.1016/j.jksues.2021.02.013Publisher landing page
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jksues.2021.02.013Direct OA link when available
- Concepts
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Standard deviation, Repeatability, Hammer, Coefficient of variation, Compaction, Statistics, Reliability (semiconductor), Econometrics, Environmental science, Mathematics, Geotechnical engineering, Structural engineering, Engineering, Power (physics), Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 2, 2021: 1Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(range | 108 |
| abstract_inverted_index.Indian | 185 |
| abstract_inverted_index.cement | 140, 144 |
| abstract_inverted_index.curing | 148 |
| abstract_inverted_index.impact | 155 |
| abstract_inverted_index.index, | 111 |
| abstract_inverted_index.namely | 139 |
| abstract_inverted_index.output | 158 |
| abstract_inverted_index.rather | 26 |
| abstract_inverted_index.ratio, | 145 |
| abstract_inverted_index.result | 4 |
| abstract_inverted_index.(within | 14, 41 |
| abstract_inverted_index.affects | 6 |
| abstract_inverted_index.authors | 177 |
| abstract_inverted_index.compare | 68 |
| abstract_inverted_index.focuses | 93 |
| abstract_inverted_index.hammer. | 53, 196 |
| abstract_inverted_index.present | 91 |
| abstract_inverted_index.propose | 181 |
| abstract_inverted_index.rebound | 52, 110, 161, 195 |
| abstract_inverted_index.results | 128 |
| abstract_inverted_index.samples | 49 |
| abstract_inverted_index.surface | 102 |
| abstract_inverted_index.willing | 179 |
| abstract_inverted_index.Concrete | 137 |
| abstract_inverted_index.European | 135 |
| abstract_inverted_index.analysis | 40 |
| abstract_inverted_index.concrete | 24 |
| abstract_inverted_index.detailed | 95 |
| abstract_inverted_index.elevated | 151 |
| abstract_inverted_index.estimate | 120 |
| abstract_inverted_index.hardness | 103, 162 |
| abstract_inverted_index.reflects | 19 |
| abstract_inverted_index.research | 73 |
| abstract_inverted_index.results, | 175 |
| abstract_inverted_index.results. | 71 |
| abstract_inverted_index.revealed | 74 |
| abstract_inverted_index.standard | 29, 112 |
| abstract_inverted_index.unbiased | 119 |
| abstract_inverted_index.verified | 131 |
| abstract_inverted_index.Different | 54 |
| abstract_inverted_index.Empirical | 72 |
| abstract_inverted_index.Variation | 13 |
| abstract_inverted_index.conducted | 45 |
| abstract_inverted_index.published | 127 |
| abstract_inverted_index.standard. | 136 |
| abstract_inverted_index.standards | 85 |
| abstract_inverted_index.strength. | 171 |
| abstract_inverted_index.amendments | 182 |
| abstract_inverted_index.compaction | 146 |
| abstract_inverted_index.compliance | 189 |
| abstract_inverted_index.concerning | 132 |
| abstract_inverted_index.condition, | 149 |
| abstract_inverted_index.countries. | 89 |
| abstract_inverted_index.deviation, | 113 |
| abstract_inverted_index.deviation. | 30 |
| abstract_inverted_index.estimation | 33 |
| abstract_inverted_index.graciously | 187 |
| abstract_inverted_index.literature | 80 |
| abstract_inverted_index.parameters | 107, 124, 138 |
| abstract_inverted_index.precision, | 37 |
| abstract_inverted_index.properties | 25 |
| abstract_inverted_index.standards, | 55 |
| abstract_inverted_index.variation) | 43 |
| abstract_inverted_index.Coefficient | 11, 115 |
| abstract_inverted_index.Variation). | 117 |
| abstract_inverted_index.compressive | 170 |
| abstract_inverted_index.deficiency, | 147 |
| abstract_inverted_index.reliability | 1, 35 |
| abstract_inverted_index.statistical | 39, 106 |
| abstract_inverted_index.temperature | 152 |
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| abstract_inverted_index.variability | 21, 123, 167, 192 |
| abstract_inverted_index.variation), | 17 |
| abstract_inverted_index.measurements | 99 |
| abstract_inverted_index.comprehensive | 38 |
| abstract_inverted_index.significantly | 5 |
| abstract_inverted_index.contradictions | 78 |
| abstract_inverted_index.investigations | 96 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5025165916 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I226983648 |
| citation_normalized_percentile.value | 0.61826468 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |