装配式建筑施工阶段多目标优化研究

RESEARCH ON MULTI-OBJECTIVE OPTIMIZATION OF PREFABRICATED BUILDING CONSTRUCTION STAGE

装配式建筑在施工中所产生的目标已成为建筑行业一个备受关注的问题。研究提出一种基于蚁群算法的装配式建筑施工阶段多目标优化方法。首先,研究详细分析了装配式建筑施工过程与特点,并解析了预制墙施工步骤。其次,构建了装配式建筑施工多目标优化模型,包括碳排放目标、成本目标和质量目标。再次,提出了基于蚁群算法的求解模型优化决策方案。最后,通过案例分析验证了该方案的有效性。结果表明,采用优化的施工方案可以显著降低碳排放量,同时还不会大幅增加成本和施工时间。

The goals generated during the construction of prefabricated buildings have become a highly concerned issue in the construction industry.A multi-objective optimization method based on ant colony algorithm is proposed for the construction stage of prefabricated buildings.Firstly,a detailed analysis of the construction process and characteristics of prefabricated buildings was conducted,and the construction steps of prefabricated walls were analyzed.Secondly,a multi-objective optimization model for prefabricated construction was constructed,including carbon emission targets,cost targets,and quality targets.Once again,a decision optimization scheme based on ant colony algorithm was proposed for solving the model.Finally,the effectiveness of the proposed scheme was verified through case analysis.The results indicate that adopting an optimized construction plan can significantly reduce carbon emissions without significantly increasing costs and construction time.