摘要
为了实现对混凝土抗渗性的精确预测及快速而高效的混凝土配合比优化设计,提出一种LSSVM-NSGA-Ⅱ模型。首先基于混凝土配合比及对应的氯离子渗透系数样本数据利用最小二乘支持向量机(LSSVM)实现对混凝土氯离子渗透系数的高精度预测,然后将氯离子渗透系数回归预测函数作为适应度函数的优化目标之一,以混凝土成本为另外一个优化目标,结合工程要求及相关规范建立配合比参数约束条件,最后通过NSGA-Ⅱ算法实现混凝土配合比的多目标优化设计。以东北某工程项目为例进行应用分析,测试结果精度很高。
In order to accurately predict the impermeability of concrete and optimize the mix proportion of concrete quickly and efficiently,a LSSVM-NSGA-Ⅱmodel is proposed in this paper.Firstly,based on the concrete mix proportion and the corresponding sample data of chloride ion permeability coefficient,the high precision prediction of chloride ion permeability coefficient of concrete is realized by using the least square support vector machine,then,the regression prediction function of chloride ion permeability coefficient is taken as one of the optimization objectives of the fitness function,and the economic cost of concrete is taken as another optimization objective.Finally,the multi-objective optimization design of concrete mix proportion is realized by NSGA-Ⅱalgorithm.Taking an engineering project in northeast China as an example,the precision of measurement results is very high.
作者
袁福银
胡毅
张陆山
李铁军
吴贤国
刘茜
YUAN Fuyin;HU Yi;ZHANG Lushan;LI Tiejun;WU Xianguo;LIU Qian(CCCC Road and Bridge Construction Co.,Ltd.,Bejing 100027,China;CCCC Second Harbour Engineering Co.,Ltd.,Wuhan,Hubei 430040,China;No.6 Engineering Co.,Ltd.of FHEC of CCCC,Tianjin 300451,China;China Communications Construction Co.,Ltd,Beijing 100088,China;School of Civil Engineering&Mechanics,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China)
出处
《施工技术》
CAS
2020年第17期83-88,共6页
Construction Technology
基金
国家重点研发项目(2016YFC0800208)
国家自然科学基金(71571078
51778262
51708241)。
关键词
混凝土
抗渗性
氯离子渗透系数
支持向量机
NSGA-Ⅱ算法
配合比
优化
concrete
impermeability
chloride permeability coefficient
support vector machine
NSGA-Ⅱalgorithm
mix proportion
optimization
