基于BIM和遗传算法的网架工程施工进度-费用优化研究  被引量:12

Research on Construction Schedule-cost Optimization of Grid Engineering Based on BIM and Genetic Algorithm

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作  者:王永泉 黄亚钟 韦芳芳[2] 张辰泽 WANG Yongquan;HUANG Yazhong;WEI Fangfang;ZHANG Chenze(Nanjing Institute of Technology School of Architecture Engineering,Nanjing,Jiangsu 211167,China;College of Civil and Transportation Engineering,Hohai University,Nanjing,Jiangsu 210098,China;School of Geography,Geomatics and Planning Jiangsu Normal University,Xuzhou,Jiangsu 221116,China)

机构地区:[1]南京工程学院建筑工程学院,江苏南京211167 [2]河海大学土木与交通学院,江苏南京210098 [3]江苏师范大学地理测绘与城乡规划学院,江苏徐州221116

出  处:《施工技术》2020年第6期18-22,66,共6页Construction Technology

基  金:江苏省基础研究计划(自然科学基金)面上项目:既有空间预应力索杆系结构安全评估与换索决策的理论方法与工程应用研究(BK20171498)。

摘  要:为提升现代网架工程的施工水平,应研究网架工程施工的现代化综合优化方法,以适应不断扩大的建设规模。构建基于BIM的施工进度-费用优化体系,建立优化模型,结合遗传算法求解模型。该方法应用BIM技术解决传统优化方法难以进行快速准确提取、庞大工程量的处理、复杂资源的安排等问题,将现代信息处理技术引入传统优化方法中,提高工程建设的信息化水平。In order to improve the construction level of the modern grid project,the modern comprehensive optimization method of grid construction should be studied to adapt to its expanding construction scale.BIM-based construction schedule-cost optimization system is constructed,a comprehensive optimization model is established,and the genetic algorithm is used to solve the model.The method uses BIM to solve the problem that the traditional optimization method is difficult to extract quickly and accurately,huge engineering quantities is managed and complicated resource is arranged,and introduces modern information processing technology into the traditional optimization method,which improves the informationization level of engineering construction for enterprises.

关 键 词:建筑信息模型 网架工程 进度-费用 优化模型 遗传算法 

分 类 号:TU722[建筑科学—建筑技术科学] TU17

 

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