首页|基于响应面回归模型的纤维混凝土力学性能分析

基于响应面回归模型的纤维混凝土力学性能分析

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为研究玄武岩纤维和纤维素纤维掺量对混杂纤维轻骨料高强混凝土抗压强度、抗折强度和劈裂抗拉强度的影响,构建响应面回归模型,对比分析其力学试验实测值和预测值,并结合渴求函数获得混凝土优化配合比。结果表明:此回归模型有效且可信度高,可用于分析试验结果;两种纤维交互作用、水灰比与纤维素纤维交互作用对抗压强度、抗折强度、劈裂抗拉强度影响显著;模型预测最优水灰比为0。30,纤维素纤维掺量为0。90 kg/m3,玄武岩纤维掺量为4。00 kg/m3,强度预测值与试验值间相对误差绝对值均小于5%,该回归模型可为混杂纤维轻骨料高强混凝土的配合比多目标优化提供参考。
Mechanical Properties Analysis of Fiber Concrete Based on Response Surface Regression Model
To study the effect of basalt fiber and cellulose fiber content on compressive,flexural,and splitting tensile strength of hybrid fiber lightweight aggregate high-strength concrete,a response surface regression model was constructed to compare and analyze the measured and predicted mechanical test values,and the optimized concrete mix ratio was obtained by combining the demand function.The results show that the regression model is effective and highly reliable,and the model can be used to analyze the test results.The interaction between the two fibers,the water-cement ratio,and the interaction between cellulose fibers have significant effects on compressive strength,flexural strength,and splitting tensile strength.The model predicts that the optimal water-cement ratio is 0.30,the cellulose fiber content is 0.90 kg/m3,and the basalt fiber content is 4.00 kg/m3.The absolute value of relative errors between the predicted and experimental strength values are all less than 5%,which indicates that the proposed model can provide a reference for multi-objective optimization of the mix ratio of hybrid fiber high-strength concrete.

response surface methodhigh strength concretehybrid fiberdesirability functionratio optimization

邓友生、孟丽青、郑云方、邹新军、姚志刚、肇慧玲

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西安科技大学 建筑与土木工程学院 西安 710054

西安科技大学 桩承结构研究中心 西安 710054

湖南大学 土木工程学院 长沙 410082

响应面方法 高强混凝土 混杂纤维 渴求函数 配合比优化

2024

湖南大学学报(自然科学版)
湖南大学

湖南大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.651
ISSN:1674-2974
年,卷(期):2024.51(9)