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Title |
Statistical Analysis of Compressive Strength Characteristics of Concrete Using Strength Ratio under Seasonal Conditions
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Authors |
이현호(Hyun-Ho Lee) ; 이소민(So-Min Lee) ; 허무원(Moo-Won Heo) |
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DOI |
https://doi.org/10.4334/JKCI.2026.38.5.647 |
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Keywords |
압축강도; 계절 조건; 강도비; 이원분산분석; 회귀모형 compressive strength; seasonal conditions; strength ratio; two-way ANOVA; regression model |
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Abstract |
This study investigates the statistical characteristics of compressive strength based on field quality control data under varying seasonal conditions, using 632 sets of field quality control data. The relationship between nominal strength and measured compressive strength exhibited a strong linear correlation, with a coefficient of determination (R²) of 0.757. Analysis of strength ratios revealed that the average strength ratio exceeded 1.0 across all seasonal conditions, indicating that the measured compressive strength generally surpassed the nominal strength. A two-way analysis of variance (ANOVA) was performed to evaluate the effects of seasonal conditions and strength grade, and a statistically significant interaction between the two factors was identified. Based on these findings, a season-adjusted regression model was proposed, yielding an improved coefficient of determination (R²) of 0.828. The results emphasize the importance of adopting an approach that explicitly considers seasonal conditions in the evaluation and quality control of concrete compressive strength.
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