摘要
为解决施工进度优化领域数据获取、定量分析、模型求解等难题,构建了基于BIM与遗传算法的建筑工程施工进度优化体系.在此基础上,建立了以成本最低和资源均衡为目标的"工期—成本"和"工期固定—资源均衡"施工进度两阶段多目标优化模型,并运用遗传算法进行求解,确定了各工序最优持续时间和非关键工序最优开始时间.在实际工程中对所建体系与模型进行了实践应用,验证了其可行性与有效性,为科学合理确定施工进度计划提供了支撑,并有助于提升BIM技术的应用效果和施工进度管理水平.
This study develops a construction schedule optimization system based on BIM and genetic algorithm to solve the challenges of data acquisition,quantitative analysis,and model solving in the field of construction schedule optimization.On this basis,a two-stage multi-objective optimization model of"construction period-cost"and"fixed construction period-resource balance"with the goal of lowest cost and resource balance is established.The genetic algorithm is used to solve the problem,and the optimal duration of each process and the optimal start times of non-critical processes are determined.The developed system and model were applied in actual projects to verify their practicability and effectiveness.This research supports scientific and reasonable decision making of the construction schedule,and help to improve the application effect of BIM technology and the level of construction schedule management.
作者
谢存仁
徐峰
阮敏浩
XIE Cun-ren;XU Feng;RUAN Min-hao(School of Naval Architecture,Ocean&Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure,Shanghai 200240,China)
出处
《工程管理学报》
2021年第3期117-122,共6页
Journal of Engineering Management
基金
中国工程院咨询研究重点项目(2020-XZ-15).
关键词
BIM
遗传算法
建筑工程
施工进度
多目标优化
BIM
genetic algorithm
construction engineering
construction schedule
multi-objective optimization
作者简介
谢存仁(1989-),男,硕士研究生,研究方向:工程项目管理,E-mail:hawk050822@sjtu.edu.cn;徐峰(1971-),男,副教授,硕士生导师,研究方向:工程项目管理;阮敏浩(1995-),男,硕士研究生,研究方向:工程项目管理。
