基于微粒群算法的建筑工程成本优化技术研究
(1.广东技术师范大学天河学院,广东 广州 510504;2.广东南华工商职业学院,广东 广州 510507)
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摘要:在保证建筑工程进度的前提下,如何尽可能地减少施工总成本,是包括施工企业在内的相关同业普遍关注的一个问题。因此,针对建筑工程总费用的最小化问题,提出一种基于微粒群算法的BIM建筑工程成本优化技术:首先,建立工程项目“成本—工期”均衡优化数学模型,以此为基础,建立基于BIM的建筑工程成本优化信息模型,然后采用改进的微粒群算法优化求解上述数学模型。最后,以实际建筑工程项目为例,通过所提方法对施工进度计划进行优化,优化结果验证了所提方法的有效性。关键词:建筑施工;工程管理;成本优化;BIM;微粒群算法;模型优化Abstract:Under the premise of ensuring the progress of construction projects,how to reduce the total construction cost as much as possible is a common concern of the relevant industry including construction enterprises. Therefore,aiming at the minimization of the total cost of construction engineering,the paper proposes a BIM construction engineering cost optimization technology based on particle swarm optimization algorithm:firstly,establishes the engineering project cost-time balance optimization mathematical model. Based on this,builds a BIM-based construction engineering cost optimization information model. Then,uses the improved particle swarm optimization algorithm optimize the above mathematical model. Finally,takes the actual construction project as an example,optimizes the construction schedule by the proposed method,and verifies the effectiveness of the proposed method.Keywords:building construction;engineering management;cost optimization;BIM;particle swarm optimization;model optimization参考文献[1] 伍培,陈龙,李雅漠,等.建筑行业安全托管发展前景分析[J].工业安全与环保,2017(5):95-97.[2] Yi W D T,Panda B,Paul S C,et al. 3D printing trends in building and construction industry:a review[J]. Virtual & Physical Prototyping,2017(3):1-16.[3] Rostami A,Sommerville J,Wong I L,et al. Risk management implementation in small and medium enterprises in the UK construction industry[J]. Engineering Construction & Architectural Management,2016(1):91-107.[4] Alwan Z,Jones P,Holgate P. Strategic sustainable development in the UK construction industry,through the framework for strategic sustainable development,using Building Information Modelling[J]. Journal of Cleaner Production,2017(1):349-358.[5] 吴贤国,秦文威,张立茂,等.基于BIM的项目进度管理与控制研究[J].建筑经济,2018(10):59-63.[6] 杨庆峰,林大岵,路军.BIM技术在建筑设计中的应用及推广策略[J].建筑技术,2016(8):733-735.[7] 田东,李新伟,马涛.基于BIM的装配式混凝土建筑构件系统设计分析与研究[J].建筑结构,2016(17):58-62.[8] 陈伟,周曼,叶家军,等.建筑工程安全施工费费率测算的PSO-BP模型研究[J].中国安全科学学报,2016(5):146-151.[9] Faghihi V,Reinschmidt K F,Kang J H. Construction scheduling using Genetic Algorithm based on Building Information Model[J]. Expert Systems with Applications,2014(16):7565-7578.[10] E. S. Alkayal,N. R. Jennings and M. F. Abulkhair. Efficient Task Scheduling Multi-Objective Particle Swarm Optimization in Cloud Computing[C]. 2016 IEEE 41st Conference on Local Computer Networks Workshops(LCN Workshops),Dubai,2016:17-24.[11] Ghaffarianhoseini A,Doan D T,Naismith N,et al. Amplifying the practicality of contemporary building information modelling(BIM)implementations for New Zealand green building certification(Green Star)[J]. Engineering Construction & Architectural Management,2017(4):696-714.[12] Kehily D,Mcauley B,Hore A. Leveraging Whole Life Cycle Costs When Utilising Building Information Modelling Technologies[J]. International Journal of 3-D Information Modeling(IJ3DIM),2017(4):40-49.[13] Masdari M,Salehi F,Jalali M,et al. A Survey of PSO-Based Scheduling Algorithms in Cloud Computing[J]. Journal of Network & Systems Management,2017(1):122-158.[14] Iida T,Nakagaki S,Satoh S,et al. Clinical outcomes of sigmoid colon volvulus:identification of the factors associated with successful endoscopic detorsion[J]. Intestinal Research,2017(2):215-220.建筑经济,2019(7):90-94