基于改进差分进化算法的装配式建筑BIM施工进度优化

Shengnan Wang
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引用次数: 0

摘要

装配式建筑BIM施工是保证装配式建筑安全的关键设施。为了提高装配式建筑BIM施工技术和进度优化控制性能,提出了一种基于改进差分进化算法的BIM施工进度优化控制方法。利用ANSYS软件分析模型建立装配式建筑BIM施工进度优化控制约束参数模型,建立装配式建筑相关管理经验和技术能力分布模型。结合技术体系、施工工艺和技术水平,进行装配式建筑BIM施工工艺优化参数设计,并通过改进差分进化算法建立装配式建筑BIM施工进度管理的施工成本。建立单位经济效益、融资风险、生产运输安装成本、税费等信息管理结构模型,采用改进的差分进化算法,实现装配式建筑BIM施工过程的最优控制。仿真结果表明,该方法可对装配式建筑BIM施工技术进行优化控制,提高施工质量,且描述施工质量的各参数优化能力好,过程控制质量高,对推进装配式建筑BIM施工质量优化具有良好的指导作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BIM Construction Schedule Optimization of Prefabricated Buildings Based on Improved Differential Evolution Algorithm
BIM construction of prefabricated buildings is the key facility to ensure the safety of prefabricated buildings. In order to improve BIM construction technology and schedule optimization control performance of prefabricated buildings, an optimization control method of BIM construction schedule based on improved differential evolution algorithm is proposed. ANSYS software analysis model is used to build the constraint parameter model of BIM construction schedule optimization control of prefabricated buildings, and the distribution model of management experience and technical ability related to prefabricated buildings is built. Combined with technical system, construction technology and technical level, the construction technology optimization parameter design of prefabricated buildings BIM is carried out, and the construction cost of BIM construction schedule management of prefabricated buildings is established by improved differential evolution algorithm. The information management structure model of unit economic benefits, financing risks, production, transportation and installation costs, taxes and fees, etc. is built, and the improved differential evolution algorithm is adopted to realize the optimal control of BIM construction process of prefabricated buildings. The simulation results show that this method can be used to optimize and control the BIM construction technology of prefabricated buildings, improve the construction quality, and the optimization ability of each parameter describing the construction quality is good, and the process control quality is high, which has a good guiding role in promoting the BIM construction quality optimization of prefabricated buildings.
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