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基于响应曲面法的粉煤灰泡沫混凝土配合比优化OA北大核心CSTPCD

Optimization of Fly Ash Foam Concrete Mix Proportion Based on Response Surface Methodology

中文摘要英文摘要

为了对粉煤灰泡沫混凝土进行配合比优化,首先通过比较不同激发剂组合和掺量对粉煤灰胶砂强度的影响,确定粉煤灰激发剂掺量,然后通过单因素试验,确定泡沫混凝土中粉煤灰、CaSt和H2O2的最佳掺量范围,最后基于Box-Benhnken响应曲面法研究粉煤灰、CaSt和H2O掺量对泡沫混凝土抗压强度、干密度和导热系数的影响,建立响应面模型,探究各因素及交互作用的影响程度,获得最优配合比.结果表明,采用4.5%(质量分数,下同)Na2SO4和4.5%Ca(OH)2的双掺激发组合显著提高了粉煤灰胶砂的性能.粉煤灰与H2O2掺量交互作用对抗压强度影响显著,CaSt与H2O2掺量交互作用对干密度影响显著,粉煤灰与CaSt掺量交互作用对导热系数影响显著.当水胶比为0.5、粉煤灰掺量为20.7%、CaSt掺量为1.9%、H2O2掺量为2.9%时,能够得到符合要求的A07级泡沫混凝土.

To optimize the mix proportion of fly ash foam concrete,the influences of different foaming agent combinations and dosages on the strength of fly ash mortar was first compared.This comparison determined the dosage of activator.Subsequently,through single-factor experiments,the optimal ranges of fly ash,CaSt,and H2O2 content in foam concrete were determined.Finally,based on the Box-Benhnken response surface methodology,the effects of fly ash,CaSt,and H2O2 content on the compressive strength,dry density,and thermal conductivity of foam concrete were studied.A response surface model was established to explore the degree of influence of each factor and their interaction effects,aiming to obtain optimal mix proportion.The results show that a dual-doping combination of 4.5%(mass fraction,the same as below)Na2SO4 and 4.5%Ca(OH)2 significantly improves the performance of fly ash mortar.The interaction between fly ash and H2O2 content significantly influences compressive strength,CaSt and H2O2 content interaction significantly affects dry density,and the interaction between fly ash and CaSt content significantly influences thermal conductivity.When the water-to-binder ratio is 0.5,the fly ash content is 20.7%,the CaSt content is 1.9%,and the H2O2 content is 2.9%,an A07-grade foam concrete meeting the requirements is obtained.

曹启坤;景昊星;李豪

辽宁工程技术大学土木工程学院,阜新 123000

土木建筑

粉煤灰激发剂泡沫混凝土响应曲面法配合比

fly ashactivatorfoam concreteresponse surface methodologymix proportion

《硅酸盐通报》 2024 (004)

地震作用下煤矿采动区岩层动力失稳与建筑安全控制研究

1427-1435 / 9

国家自然科学基金(51474045)

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