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采用考虑不同养护温度和胶凝材料组成的成熟度法预测混凝土抗压强度的评估

Evaluation of Concrete Compressive Strength Prediction Using the Maturity Method Incorporating Various Curing Temperatures and Binder Compositions.

作者信息

Ryu Gum-Sung, An Gi-Hong, Yoon Yong-Sik, Kim Ji-Young, Choi Sung

机构信息

Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea.

Korea Peninsula Infrastructure Special Committee, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea.

出版信息

Materials (Basel). 2024 Nov 26;17(23):5794. doi: 10.3390/ma17235794.

DOI:10.3390/ma17235794
PMID:39685230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11642691/
Abstract

This study aims to systematically analyze the effects of different curing temperatures, unit binder content, and the mixture ratios of ground granulated blast-furnace slag and fly ash based on ordinary Portland cement in binders on the development of concrete compressive strength. Particularly, the study evaluates strength characteristics by calculating the maturity equivalent to 28 days of curing at 20 °C. A model based on the relationship between maturity and strength was applied to predict the compressive strength, and the experimental data were analyzed to derive strength coefficients for each variable. The results showed that at a low temperature of 5 °C, the actual strength was lower than the predicted strength, leading to higher error rates. In contrast, at temperatures of 20 °C and 40 °C, the coefficient of determination (R > 0.90) for the predictive equation was high, and the error rates were reduced to within 10%. The study demonstrates that by combining the maturity method with the strength-maturity relationship, the concrete compressive strength can be effectively predicted under specific curing and binder design conditions.

摘要

本研究旨在系统分析不同养护温度、单位胶凝材料用量以及基于普通硅酸盐水泥的胶凝材料中粒化高炉矿渣与粉煤灰的混合比例对混凝土抗压强度发展的影响。具体而言,该研究通过计算相当于在20℃养护28天的成熟度来评估强度特性。应用基于成熟度与强度关系的模型来预测抗压强度,并对实验数据进行分析以得出各变量的强度系数。结果表明,在5℃的低温下,实际强度低于预测强度,导致误差率较高。相比之下,在20℃和40℃的温度下,预测方程的决定系数(R>0.90)较高,误差率降低到10%以内。该研究表明,通过将成熟度方法与强度-成熟度关系相结合,在特定的养护和胶凝材料设计条件下可以有效预测混凝土的抗压强度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/0a66fc38d6b1/materials-17-05794-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/8c0d8f46f697/materials-17-05794-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/b34f33e6d00b/materials-17-05794-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/501c447347cb/materials-17-05794-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/0a66fc38d6b1/materials-17-05794-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/1d9885884c6c/materials-17-05794-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/35b6249d1218/materials-17-05794-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/d68c19b6e588/materials-17-05794-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/08f5b261874f/materials-17-05794-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/8c0d8f46f697/materials-17-05794-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/b34f33e6d00b/materials-17-05794-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/501c447347cb/materials-17-05794-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa3b/11642691/0a66fc38d6b1/materials-17-05794-g010.jpg

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本文引用的文献

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2
Development of Prediction Model to Predict the Compressive Strength of Eco-Friendly Concrete Using Multivariate Polynomial Regression Combined with Stepwise Method.基于多元多项式回归结合逐步法的生态友好型混凝土抗压强度预测模型的开发
Materials (Basel). 2022 Jan 2;15(1):317. doi: 10.3390/ma15010317.
3
Design of Concrete Mix Proportion Based on Particle Packing Voidage and Test Research on Compressive Strength and Elastic Modulus of Concrete.
基于颗粒堆积空隙率的混凝土配合比设计及混凝土抗压强度与弹性模量试验研究
Materials (Basel). 2021 Jan 29;14(3):623. doi: 10.3390/ma14030623.