蛋壳粉泡沫混凝土性能分析及预测

Eggshell powder foam concrete performance analysis and prediction

为了探究蛋壳粉部分替代水泥制备绿色低碳型泡沫混凝土的可行性,提出一种预测蛋壳粉泡沫混凝土性能的方法。首先通过室内试验测试,分析蛋壳粉替代率对泡沫混凝土吸水率、力学强度以及孔隙结构的影响,然后基于试验数据采用机器学习的方法建立模型,预测蛋壳粉泡沫混凝土的性能。研究结果表明:掺入蛋壳粉会降低泡沫混凝土试样的初始表面吸收率、吸水率;掺入蛋壳粉有助于提升泡沫混凝土的抗压、抗折强度,蛋壳粉替代率为15%的泡沫混凝土强度最高;泡沫体积的增大使孔隙尺寸扩大,大孔隙体积占比增加;蛋壳粉填充效果较好,掺加15%蛋壳粉致使泡沫混凝土中小孔隙体积占比增大而大孔隙体积占比减小;所建立的机器学习模型可有效预测蛋壳粉泡沫混凝土的性能;与决策树模型相比,随机森林模型预测结果的精确度更高。

The aim of this study is to investigate the feasibility of partially replacing cement with eggshell powder to prepare green and low-carbon foam concrete,and to propose a method to predict the performance of eggshell powder foam concrete.In this study,the laboratory experiments were first conducted to analyze the influences of eggshell powder content on water absorption,mechanical strength,and pore structure of foam concrete.Subsequently,based on the experimental results,a model to predict the performance of eggshell powder foam concrete was proposed using the machine learning approach.Results indicate that foam concrete specimens mixed with eggshell powder exhibit reduced initial surface absorption rate and water absorption rate.Additionally,the addition of eggshell powder can improve the compressive and flexural strength of foam concrete,with the highest strength observed at a 15%substitution rate.Furthermore,the increase in foam volume leads to pore size expansion,with large pores accounting for a greater proportion of the foam volume as a result of eggshell powder addition.Notably,the filler effect of eggshell powder is more pronounced,with an addition of 15%eggshell powder leading to an increase in the proportion of small and large pores in the foam concrete.The machine learning model developed in this study demonstrates its effectiveness in predicting the performance of foam concrete containing eggshell powder.When compared with the decision tree model,the prediction results of the random forest model exhibit higher accuracy.