SAP内养护机制砂混凝土力学性能及其BP神经网络预测  

Mechanical properties of SAP internal curing machine-made sand concrete and BP neural network prediction

作　　者：刘荣桂 陈浩[2] 崔钊玮 陈业强[2] 张邵峰 闫乾勋[2] LIU Ronggui;CHEN Hao;CUI Zhaowei;CHEN Yeqiang;ZHANG Shaofeng;YAN Qianxun(School of Architectural Engineering,Nantong Institute of Technology,Nantong,Jiangsu 226001,China;Faculty of Civil Engineering and Mechanics,Jiangsu University,Zhenjiang,Jiangsu 212013,China)

机构地区：[1]南通理工学院建筑工程学院,江苏南通226001 [2]江苏大学土木工程与力学学院,江苏镇江212013

出　　处：《江苏大学学报（自然科学版）》2023年第3期367-372,共6页Journal of Jiangsu University：Natural Science Edition

基　　金：国家自然科学基金资助项目(51778272);南通市科技计划项目(JC2019064);南通市建筑结构重点实验室项目(CP12015005)。

摘　　要：为研究高吸水性树脂(SAP)对不同石粉掺量机制砂混凝土力学性能的影响规律,在机制砂混凝土中掺入不同掺量的SAP和石粉,对其开展抗压强度与抗折强度的试验,并用BP(back propagation)神经网络对抗压强度进行预测.研究结果表明:机制砂混凝土各龄期抗压强度随SAP掺量的增加呈先升高、后降低的趋势,当SAP掺量为0.08%时,抗压强度最高;不同石粉掺量下,掺入掺量为0.08%的SAP能够显著提高混凝土抗压强度,特别是与掺量为9%石粉复掺时,抗压强度提升效果最好;不同石粉掺量下,混凝土抗折强度均随SAP掺量增加呈先降低、后升高、再降低的趋势;当SAP掺量为0.16%时,抗折强度达到最大值.因而复掺时的最佳掺量组合为0.16%SAP与6%石粉;通过对48组抗压强度试验数据进行预测,发现预测值与试验值的结果较为吻合.The machine-made sand concrete was mixed with different amounts of super absorbent polymer(SAP)and stone powder,and the compressive strength and flexural strength tests were carried out to investigate the influence of SAP on the mechanical properties of machine-made sand concrete with different amounts of stone powder.Back propagation(BP)neural network was used to predict the compressive strength.The results show that the compressive strength of machine-made sand concrete at various ages is increased first with latter decreasing by increasing SAP content.When SAP content is 0.08%,the compressive strength is the highest.The addition of 0.08%SAP can significantly increase the compressive strength with the mixing of various stone powders.The compressive strength of concrete mixed with 9%stone powder has the best effect.The flexural strength of concrete with different stone powder content is decreased first with latter increasing and decreasing by increasing the SAP content.When SAP content is 0.16%,the flexural strength reaches the maximum value,and the optimal mixing amount is 0.16%SAP with 6%stone powder compound.According to the prediction of 48 sets of compressive strength test data,the predicted value is well consistent with the test value.

关 键 词：机制砂混凝土 高吸水性树脂 石粉 力学性能 BP神经网络 

分 类 号：TU528[建筑科学—建筑技术科学]