摘要
在建筑施工过程中,建筑材料的吊装运输效率对施工进度有较大影响。目前已有研究基于旅行商问题(TSP),通过优化塔吊吊装顺序,缩短了建筑材料运输距离和时间,但是忽略了施工工序的影响。对于装配式建筑,装配式构件的吊装顺序需要严格遵守施工次序。因此依据施工次序、吊钩初始位置、构件存储与需求的位置关系,本研究建立了装配式构件施工现场吊装调度优化模型,并提出改进遗传算法对模型进行求解。基于三种作业规模的五个算例,通过对比Gurobi与改进遗传算法的优化结果,验证了改进遗传算法良好的有效性。最后以某装配式建筑场地的构件吊装任务为例,证明了本研究可以快速有效地优化装配式建筑施工过程中的构件调度方案。
During the construction process of building projects,the transportation efficiency of building materials by tower cranes has a great impact on the project schedule.The previous studies have optimized the lifting schedule of a tower crane based on the traveling salesman problem(TSP)to decrease the material transportation distance and time.However,the construction sequence of a project is ignored.For a prefabricated building project,the lifting scheduling of assembly components must follow the construction sequence.An optimization model was proposed to guarantee the optimized lifting scheduling of assembly components can follow the construction sequence in a prefabricated building project.The model can also consider the initial location of the hook and the locations requiring and storing components.To efficiently solve the problem,this study proposed the improved gene-tic algorithm(GA).Then,five cases in three categories of jobs were introduced.The comparison of the results obtained by Gurobi and the improved GA has proved the efficiency of the improved GA.Finally,the proposed model and the improved GA was testified by a prefabricated building project.The result reveals that this study can quickly and efficiently optimize the scheduling scheme of components.
作者
李文杰
黄春
刘占省
蔺宏远
何阳
LI Wenjie;HUANG Chun;LIU Zhansheng;LIN Hongyuan;HE Yang(College of Architecture and Civil Engineering,Beijing University of Technology,Beijing 100124,China;Shandong Provincial Architecture Design&Research Institute Co Ltd,Jinan 250001,China)
出处
《土木工程与管理学报》
2021年第4期147-154,162,共9页
Journal of Civil Engineering and Management
基金
“十三五”国家重点研发计划(2018YFF0300300)子课题(2018YFF0300306)。
关键词
装配式建筑
构件吊装
塔吊
调度
优化模型
改进遗传算法
prefabricated building
component lifting
tower crane
scheduling
optimization model
improved genetic algorithm
