Abstract
| Original language | English |
|---|---|
| Title of host publication | Procedia Engineering |
| Editors | Alan Peters, Lan Ding, Francesco Fiorito, Paul Osmond |
| Place of Publication | Netherland |
| Publisher | Elsevier |
| Pages | 631-639 |
| Number of pages | 9 |
| Volume | 180 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | International High Performance Built Environment - University of New South Wales (UNSW), Sydney, Australia Duration: 17 Nov 2016 → … |
Publication series
| Name | Procedia Engineering |
|---|
Conference
| Conference | International High Performance Built Environment |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 17/11/16 → … |
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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 Book › Conference 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 -