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基于GM(1,1)模型对-3℃养护和标准养护混凝土强度的灰色预测

Grey prediction of concrete strength for-3℃curing and standard curing based on GM(1,1)model
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摘要 研究混凝土在负温和标准养护下的抗压强度增长规律,可有效降低负温养护造成的混凝土早期冻害并为负温混凝土在高寒高海拔地区的施工提供理论和参考依据。采用灰色系统理论方法,分别对0.38水灰比的负温养护(-3℃)和标准养护下混凝土的强度增长规律进行灰色GM(1,1)建模,并给出了建立负温养护(-3℃)和标准养护的混凝土强度增长预测模型的基本方法。通过试验得出的结果进行对比,得出标准养护和负温养护(-3℃)的灰色预测模型的精度均为“优”,并验证了灰色预测模型GM(1,1)对预测混凝土强度增长规律有着可行、有效及精度高的优点。 Studying the growth law of compressive strength of concrete under negative temperature standard curing can effectively reduce the early freezing damage of concrete caused by negative temperature curing,and provide theoretical and reference basis for the construction of negative temperature concrete in high cold and high altitude areas.The grey system theory method is used to model the strength growth law of concrete under negative temperature curing(-3℃)and standard curing with 0.38 water cement ratio respectively,and the basic method of establishing the prediction model of concrete strength growth under negative temperature curing(-3℃)and standard curing is given.By comparing the test results,it is concluded that the accuracy of the grey prediction model of standard curing and negative temperature curing(-3℃)is“excellent”,and it is verified that the grey prediction model GM(1,1)has the advantages of feasibility,effectiveness and high accuracy in predicting the growth law of concrete strength.
作者 王坚强 王起才 代金鹏 张波 毕瑞枭 WANG Jianqiang;WANG Qicai;DAI Jinpeng;ZHANG Bo;BI Ruixiao(Key Laboratory of Road,Bridge and Underground Engineering of Gansu Province,Lanzhou Jiaotong University,Lanzhou 730070,China;National and Local Joint Engineering Laboratory for Disaster Prevention and Control Technologyof Road and Bridge Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处 《混凝土》 CAS 北大核心 2023年第12期25-28,共4页 Concrete
基金 国家自然科学基金(51768033,51808272) 甘肃省青年科技基金(21JR7RA330) 甘肃省青年科技人才托举工程项目(GXH20210611-10) 兰州交通大学“天佑青年托举人才计划”基金 长江学者和创新团队发展计划滚动资助项目(IRT_15R29) 甘肃省引导科技创新发展专项-重点研发能力提升项目(2019ZX-09)。
关键词 负温养护 GM(1 1)建模 混凝土强度增长 negative temperature curing GM(1,1)modeling concrete strength growth
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