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)
3 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 → …

Fingerprint

Lenses

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
BANIHASHEMI, Saeed ; Tabadkani, Amir ; Hosseini, Reza. / Modular Coordination-based Generative Algorithm to Optimize Construction Waste. Procedia Engineering. editor / Alan Peters ; Lan Ding ; Francesco Fiorito ; Paul Osmond. Vol. 180 Netherland : Elsevier, 2017. pp. 631-639 (Procedia Engineering).
@inproceedings{7ce37581a3ce475f83b2a8ed244572fd,
title = "Modular Coordination-based Generative Algorithm to Optimize Construction Waste",
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",
keywords = "Offsite construction, parametric design, generative algorithm, modular coordination, waste optimization",
author = "Saeed BANIHASHEMI and Amir Tabadkani and Reza Hosseini",
year = "2017",
doi = "10.1016/j.proeng.2017.04.222",
language = "English",
volume = "180",
series = "Procedia Engineering",
publisher = "Elsevier",
pages = "631--639",
editor = "Alan Peters and Lan Ding and Francesco Fiorito and Paul Osmond",
booktitle = "Procedia Engineering",
address = "Netherlands",

}

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, Procedia Engineering, Elsevier, Netherland, pp. 631-639, International High Performance Built Environment, Sydney, Australia, 17/11/16. https://doi.org/10.1016/j.proeng.2017.04.222

Modular Coordination-based Generative Algorithm to Optimize Construction Waste. / BANIHASHEMI, Saeed; Tabadkani, Amir; Hosseini, Reza.

Procedia Engineering. ed. / Alan Peters; Lan Ding; Francesco Fiorito; Paul Osmond. Vol. 180 Netherland : Elsevier, 2017. p. 631-639 (Procedia Engineering).

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

TY - GEN

T1 - Modular Coordination-based Generative Algorithm to Optimize Construction Waste

AU - BANIHASHEMI, Saeed

AU - Tabadkani, Amir

AU - Hosseini, Reza

PY - 2017

Y1 - 2017

N2 - 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

AB - 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

KW - Offsite construction

KW - parametric design

KW - generative algorithm

KW - modular coordination

KW - waste optimization

UR - http://www.scopus.com/inward/record.url?scp=85020766592&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/modular-coordinationbased-generative-algorithm-optimize-construction-waste

U2 - 10.1016/j.proeng.2017.04.222

DO - 10.1016/j.proeng.2017.04.222

M3 - Conference contribution

VL - 180

T3 - Procedia Engineering

SP - 631

EP - 639

BT - Procedia Engineering

A2 - Peters, Alan

A2 - Ding, Lan

A2 - Fiorito, Francesco

A2 - Osmond, Paul

PB - Elsevier

CY - Netherland

ER -

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