Modular Coordination-based Generative Algorithm to Optimize Construction Waste

Saeed BANIHASHEMI, Amir Tabadkani, Reza Hosseini

Research output: A Conference proceeding or a Chapter in BookConference contribution

4 Citations (Scopus)
14 Downloads (Pure)

Abstract

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
Original languageEnglish
Title of host publicationProcedia Engineering
EditorsAlan Peters, Lan Ding, Francesco Fiorito, Paul Osmond
Place of PublicationNetherland
PublisherElsevier
Pages631-639
Number of pages9
Volume180
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventInternational High Performance Built Environment - University of New South Wales (UNSW), Sydney, Australia
Duration: 17 Nov 2016 → …

Publication series

NameProcedia Engineering

Conference

ConferenceInternational High Performance Built Environment
CountryAustralia
CitySydney
Period17/11/16 → …

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Cite this

BANIHASHEMI, S., Tabadkani, A., & Hosseini, R. (2017). Modular Coordination-based Generative Algorithm to Optimize Construction Waste. In A. Peters, L. Ding, F. Fiorito, & P. Osmond (Eds.), Procedia Engineering (Vol. 180, pp. 631-639). (Procedia Engineering). Netherland: Elsevier. https://doi.org/10.1016/j.proeng.2017.04.222