Modular coordination-based generative algorithm to optimize construction waste

被引:21
作者
Banihashemi, Saeed [1 ]
Tabadkani, Amir [2 ]
Hosseini, M. Reza [3 ]
机构
[1] Univ Technol Sydney, Sch Built Environm, 15 Broadway, Ultimo 2007, Australia
[2] Politecn Milan, Dept Bldg & Architectural Engn, I-20133 Milan, Italy
[3] Deakin Univ, Sch Architecture & Built Environm, Geelong, Vic 3220, Australia
来源
INTERNATIONAL HIGH-PERFORMANCE BUILT ENVIRONMENT CONFERENCE - A SUSTAINABLE BUILT ENVIRONMENT CONFERENCE 2016 SERIES (SBE16), IHBE 2016 | 2017年 / 180卷
关键词
Offsite construction; parametric design; generative algorithm; modular coordination; waste optimization; DESIGN;
D O I
10.1016/j.proeng.2017.04.222
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In response to the growing attention to sustainable built environment, this study aims at introducing an approach in construction waste optimization through integrating parametric design with offsite construction methodology. To this end, a generative algorithm was developed within the integrated platform of Rhino and Grasshopper software based on modular coordination rules and ASTM international standards as the design constraints in modules array. Two sets of horizontal and vertical modules were obtained from a prototype model while an evolutionary solver function was employed for optimizing the generated waste. This resulted in developing different modular design variants which generate the minimum amount of waste while being fully compliant with international standards. This study contributes to the field by presenting one of the first studies in its kind focusing on the integration of parametric design into offsite construction methodology through the lenses of construction waste optimization. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:631 / 639
页数:9
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