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基于二阶拟合算法的钢纤维混凝土碳化深度预测模型研究 被引量:3

Research on prediction model of carbonization depth of steel fiber concrete based on second-order fitting algorithm
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摘要 以钢纤维混凝土为研究对象,对影响其碳化深度的因素进行分析;以0%,0.5%,1%,1.5%,2%的钢纤维体积率作为纤维掺量影响指标进行对比,从龄期、抗压强度等影响因素入手,对其最优钢纤维掺量进行研究;基于传统的线性拟合算法,提出了一种改进的二阶拟合预测模型。通过C30混凝土的碳化深度试验对比,相比于传统的计算法,本方法可提高10%的预测精度,具有较高的预测准确性。 As one of the most important indexes of concrete, carbonization index is particularly significant in durability analysis.In order to further study the factors influencing the carbonization depth of fiber reinforced concrete, this paper takes steel fiber reinforced concrete as the research object to analyze the factors influencing the carbonization depth of fiber reinforced concrete.The steel fiber volume ratios of 0%,0.5%,1%,1.5%,and 2% were used as the influence indicators of fiber content, and the optimal steel fiber content was determined from the factors such as age and compressive strength.Based on the traditional linear fitting method, an improved second-order fitting prediction model is proposed.The carbonization depth test of C30 concrete revealed that compared with the traditional calculation method, the method proposed in this paper can improve the prediction accuracy by 10%.
作者 吴多 刘玉林 黎霖 杜鹏广 杨金发 尚申廷 万卫红 WU Duo;LIU Yulin;LI Lin;DU Pengguang;YANG Jinfa;SHANG Shenyan;WAN Weihong(School of Civil and Architectural Engineering,Nanchang Institute of Technology,Nanchang 330099,China;Jiangxi Hongfa Road and Bridge Construction Engineering Co.Ltd.,Nanchang 330002,China)
出处 《南昌工程学院学报》 CAS 2021年第1期34-39,共6页 Journal of Nanchang Institute of Technology
基金 江西省教育厅科学技术研究项目(GJJ190980) 国家大学生创新创业训练计划资助项目(201911319006) 南昌工程学院第十七届“挑战杯”大学生课外学术科技作品竞赛项目(NIT-34).
关键词 钢纤维 碳化深度 碳化龄期 抗压强度 拟合 steel fiber carbonization depth carbonization age compressive strength fitting
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