机制砂混凝土抗压强度分析及预测_《混凝土与水泥制品》杂志社

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发布时间：2020-01-06 00:00:00

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机制砂混凝土抗压强度分析及预测

Analysis and Prediction of Compressive Strength of Manufactured Sand Concrete

2022年第8期

机制砂混凝土；抗压强度；石粉；粉煤灰；BP神经网络模型

Manufactured sand concrete; Compressive strength; Stone powder; Fly ash; BP neural network model

2022年第8期

10.19761/j.1000-4637.2022.08.096.06

国家自然科学基金项目（51878319、51608233）；江苏大学高级人才基金资助项目（20JDG19）；江苏省博士后科研资助计划项目（2020Z350）。

陶松涛1,2，延永东1，郑玉龙1，刘甲琪1，梁晓封1，王鑫1

1.江苏大学土木工程与力学学院，江苏镇江 212013；2.绍兴市交通建设有限公司，浙江绍兴 312099

陶松涛1,2，延永东1，郑玉龙1，刘甲琪1，梁晓封1，王鑫1

陶松涛,延永东,郑玉龙,等.机制砂混凝土抗压强度分析及预测[J].混凝土与水泥制品,2022(8):96-100,104.

TAO S T,YAN Y D,ZHENG Y L,et al.Analysis and Prediction of Compressive Strength of Manufactured Sand Concrete[J].China Concrete and Cement Products,2022(8):96-100,104.

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摘要：为了探究机制砂混凝土的抗压强度变化规律，进行了不同机制砂替代率（0、30%、50%、70%）、粉煤灰掺量（0、20%、30%、40%）和机制砂石粉含量（0、5.8%、11.6%）混凝土试件的抗压强度试验，并结合试验数据建立了BP神经网络模型预测抗压强度。结果表明：随着机制砂替代率的增加，试件的7 d、28 d抗压强度呈先增大后减小的趋势，且在机制砂替代率为50%时达到最大，机制砂替代率对试件的60 d抗压强度影响较小；掺入粉煤灰使试件的早期抗压强度降低，但30%掺量的粉煤灰有利于提高试件的60 d抗压强度；随着机制砂石粉含量的增加，试件的7 d抗压强度先增大后减小，28 d、60 d抗压强度则逐渐增大；建立的机制砂混凝土28 d抗压强度预测模型的精度较高。 Abstract： In order to explore the change law of the compressive strength of manufactured sand concrete, the compressive strength tests of concrete specimens with different manufactured sand replacement rates(0, 30%, 50%, 70%), fly ash contents(0, 20%, 30%, 40%) and stone powder contents(0, 5.8%, 11.6%) in manufactured sand were carried out. Combined with the test datas, the BP neural network model was established to predict the compressive strength. The results show that the 7 d and 28 d compressive strength of the specimen increase first and then decrease with the increase of manufactured sand replacement rate, and reaches the maximum when the manufactured sand replacement rate is 50%. The manufactured sand replacement rate has little effect on the 60 d compressive strength of the specimen. Adding fly ash reduces the early compressive strength of the specimen, but 30% fly ash is beneficial to improve the 60 d compressive strength of the specimen. With the increase of stone powder content in manufactured sand, the 7 d compressive strength of the specimen first increases and then decreases, and the 28 d and 60 d compressive strength increase gradually. The established model for predicting the 28 d compressive strength of manufactured sand concrete has high accuracy.

英文名 : Analysis and Prediction of Compressive Strength of Manufactured Sand Concrete

刊期 : 2022年第8期

关键词 : 机制砂混凝土；抗压强度；石粉；粉煤灰；BP神经网络模型

Key words : Manufactured sand concrete; Compressive strength; Stone powder; Fly ash; BP neural network model

刊期 : 2022年第8期

DOI : 10.19761/j.1000-4637.2022.08.096.06

文章编号 :

基金项目 : 国家自然科学基金项目（51878319、51608233）；江苏大学高级人才基金资助项目（20JDG19）；江苏省博士后科研资助计划项目（2020Z350）。

作者 : 陶松涛1,2，延永东1，郑玉龙1，刘甲琪1，梁晓封1，王鑫1

单位 : 1.江苏大学土木工程与力学学院，江苏镇江 212013；2.绍兴市交通建设有限公司，浙江绍兴 312099

陶松涛1,2，延永东1，郑玉龙1，刘甲琪1，梁晓封1，王鑫1

陶松涛,延永东,郑玉龙,等.机制砂混凝土抗压强度分析及预测[J].混凝土与水泥制品,2022(8):96-100,104.

TAO S T,YAN Y D,ZHENG Y L,et al.Analysis and Prediction of Compressive Strength of Manufactured Sand Concrete[J].China Concrete and Cement Products,2022(8):96-100,104.

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摘要

参数

结论

参考文献

引用本文

Abstract： In order to explore the change law of the compressive strength of manufactured sand concrete, the compressive strength tests of concrete specimens with different manufactured sand replacement rates(0, 30%, 50%, 70%), fly ash contents(0, 20%, 30%, 40%) and stone powder contents(0, 5.8%, 11.6%) in manufactured sand were carried out. Combined with the test datas, the BP neural network model was established to predict the compressive strength. The results show that the 7 d and 28 d compressive strength of the specimen increase first and then decrease with the increase of manufactured sand replacement rate, and reaches the maximum when the manufactured sand replacement rate is 50%. The manufactured sand replacement rate has little effect on the 60 d compressive strength of the specimen. Adding fly ash reduces the early compressive strength of the specimen, but 30% fly ash is beneficial to improve the 60 d compressive strength of the specimen. With the increase of stone powder content in manufactured sand, the 7 d compressive strength of the specimen first increases and then decreases, and the 28 d and 60 d compressive strength increase gradually. The established model for predicting the 28 d compressive strength of manufactured sand concrete has high accuracy.

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玻璃粉-粉煤灰基地聚合物混凝土力学及微观性能研究

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农业废弃物在混凝土中的资源化利用研究进展

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机制砂混凝土抗压强度分析及预测

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