2016, 8(4): 69-72. doi: 10.16670/j.cnki.cn11-5823/tu.2016.04.12
基于BIM体系的钢筋优化下料初探
福建工程学院土木工程学院、福建省土木工程新技术与信息化重点实验室、国家级土木工程虚拟仿真实验教学中心,福州 350118 |
Preliminary Procedure Study on BIM-based Steel Bars Picking Optimization
College of Civil Engineering, Fujian Provincial Key Laboratory of Advanced Technology and Informatization in Civil Engineering, National Civil Engineering Virtual Simulation Experimental Teaching Research Center, Fujian University of Technology, Fuzhou 350118, China |
引用本文: 连立川, 张鹏程, 刘燕妮. 基于BIM体系的钢筋优化下料初探[J]. 土木建筑工程信息技术, 2016, 8(4): 69-72. doi: 10.16670/j.cnki.cn11-5823/tu.2016.04.12
Citation: Lian Lichuan, Zhang Pengchen, Liu Yanni. Preliminary Procedure Study on BIM-based Steel Bars Picking Optimization[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2016, 8(4): 69-72. doi: 10.16670/j.cnki.cn11-5823/tu.2016.04.12
摘要:钢筋工程是混凝土框架结构中的组成部分,在造价中占有很大的比例。传统钢筋下料面临算量偏差、裁切无章等问题,造成不必要钢筋成本增加。运用BIM虚拟仿真技术可指导实际工程,研究从(1)施工深化设计和(2)钢筋优化下料两方面展开,讨论将BIM技术和优化算法结合,建立基于Revit实体配筋技术导入钢筋下料优化方法初步程序。为后期开发下料插件提供思路,以达到优化钢筋的下料,减少资源的浪费。
Abstract: Reinforced concrete(RC)is a component of a concrete-based frame structure.It accounts for a large proportion of the cost.Traditional steel bars picking has such problems as deviation calculating the amount of material, picking no effective rules and so on, which lead to unnecessary increase of steel bars cost.Building information modeling(BIM)virtual simulation technology can guide the actual engineering.This study focuses on two major aspects: (1)detail construction design and(2)steel bars picking to combine BIM technology and optimization algorithms to establish a preliminary procedure of BIM-based Revit reinforcement and steel bars picking methodology.This study provides ideas for later development of BIM-based steel bars picking plug-in software to achieve steel bars picking optimization and reduce waste of resources.
[1] |
杨党辉, 苏原, 孙明. 基于技术的混凝土结构配筋精益化设计分析[C]. 工程建设中计算机应用与创新实践, 2004: 203-207. |
[2] | |
[3] |
刘燕妮, 连立川, 吴波.以粒子蜂群神经网络建立高性能混凝土强度模型[J].福州大学学报, 2016, 44(2): 253-258.doi: 10.7631/issn.1000-2243.2016.02.0253 |
[4] |
连立川, 刘燕妮, 叶怡成.以粒子蜂群网络建立高性能混凝土坍落度模型[J].福建工程学院学报, 2015, 13 (1): 1-9. |
[5] |
Li-Chuan Lien, min-Yuan Cheng, A hybrid swarm intelligence based particle-bee algorithm for construction Site Layout Optimization, Expert Systems with Applications, 2012(39): 9642-9650.doi: 10.1016/j.eswa.2012.02.134 |
[6] |
Li-Chuan Lien, min-Yuan Cheng, Particle bee algorithm for tower crane layout with material quantity supply and demand optimization, Automation in Construction, 2014 (45): 25-32.doi: 10.1016/j.autcon.2014.05.002 |
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