硅酸盐通报2024，Vol.43Issue(10)：3645-3654,10.
基于NSGA-Ⅱ高性能混凝土配合比的多目标智能优化设计方法研究
Multi-Objective Intelligent Optimization Design Method Based on NSGA-Ⅱ High Performance Concrete Mix Proportion
摘要
Abstract
In order to solve the problems of limited design parameters,over-reliance on manual adjustment and failure to make full use of the existing test data in the traditional proportion design,a novel intelligent optimization strategy for high performance concrete(HPC)was proposed,which integrates artificial intelligence algorithms and meta-heuristic search technology,and can realize the proportion design under the consideration of the multi-objective demand of HPC.Firstly,a database with a large amount of HPC proportion data and performance test information was constructed.Secondly,three machine learning algorithms,XGBoost,MLP and RF algorithm,were used to establish the nonlinear mapping relationship between compressive strength of concrete and the amount of material used,and the model with the best performance was selected as the strength objective function and constraints in the multi-objective optimization intelligent.Then,the Pareto optimal predicate was solved by establishing the mathematical model with the objectives of compressive strength,economy,and environmental protection,and the Pareto optimal predicate was solved by using the NSGA-Ⅱ algorithm.Lastly,the unique optimal solution was obtained by combining with the ideal-point method.The proposed method was validated by practical engineering examples,and the results show that the proposed multi-objective intelligent optimization design method of high-performance concrete proportion takes into full consideration of interactions between variables,greatly reduces the number of tests,significantly improves the efficiency of the proportion design,and can provide a reference for the multi-objective intelligent proportion optimization design of HPC.关键词
高性能混凝土/强度预测模型/NSGA-Ⅱ算法/多目标优化/XGBoost算法Key words
high performance concrete/strength prediction model/NSGA-Ⅱ algorithm/multi-objective optimization/XGBoost algorithm分类
交通工程引用本文复制引用
胡以婵,翁贻令,池浩,胡雷,彭浩,梁健,周富坚,黄文胜,解威威..基于NSGA-Ⅱ高性能混凝土配合比的多目标智能优化设计方法研究[J].硅酸盐通报,2024,43(10):3645-3654,10.基金项目
中央引导地方科技发展资金项目(20221229) （20221229）
广西重点研发计划项目(桂科AB23026126) （桂科AB23026126）
交通运输行业重点科技项目(2121MSI026) （2121MSI026）
