Modular Coordination-based Generative Algorithm to Optimize Construction Waste

Banihashemi, S; Tabadkani, A; Hosseini, MR

Modular Coordination-based Generative Algorithm to Optimize Construction Waste

Banihashemi, S

Tabadkani, A Hosseini, MR

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Publication Type:: Journal Article
Citation:: Procedia Engineering, 2017, 180 pp. 631 - 639
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Banihashemi, S https://orcid.org/0000-0002-7438-1235	en_US
dc.contributor.author	Tabadkani, A	en_US
dc.contributor.author	Hosseini, MR	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Procedia Engineering, 2017, 180 pp. 631 - 639	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126322
dc.description.abstract	© 2017 The Authors. 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.	en_US
dc.relation.ispartof	Procedia Engineering	en_US
dc.relation.isbasedon	10.1016/j.proeng.2017.04.222	en_US
dc.title	Modular Coordination-based Generative Algorithm to Optimize Construction Waste	en_US
dc.type	Journal Article
utslib.citation.volume	180	en_US
utslib.for	120404 Engineering Systems Design	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	180	en_US

Abstract:

© 2017 The Authors. 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.

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http://hdl.handle.net/10453/126322