Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization

Likai Wang

doi:10.1007/978-981-19-1280-1_18

Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization

Likai Wang^*

^*Corresponding author for this work

Nanjing University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 Citations (Scopus)

Abstract

This paper presents a study investigating the impact of design spaces on performance-based design optimization and attempts to demonstrate the relationship between these two factors through the lens of the span of design spaces. The study defines the span of design spaces as the variety of different types of building design that can be embodied by the parametric model; thus, the wider the span, the more likely is the optimization to identify promising types of building design. In order to reveal the relationship between the span of design spaces and performance-based design optimization, the study present a case study that includes design spaces with various spans within a building design optimization problem considering daylighting performance. The result shows that the difference in span can result in significant changes in optimization in relation to fitness and architectural implications.

Original language	English
Title of host publication	Computer-Aided Architectural Design. Design Imperatives
Subtitle of host publication	The Future is Now - 19th International Conference, CAAD Futures 2021, Selected Papers
Editors	David Gerber, Evangelos Pantazis, Biayna Bogosian, Alicia Nahmad, Constantinos Miltiadis
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	288-297
Number of pages	10
ISBN (Print)	9789811912795
DOIs	https://doi.org/10.1007/978-981-19-1280-1_18
Publication status	Published - 2022
Externally published	Yes
Event	19th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2021 - Virtual, Online Duration: 16 Jul 2021 → 18 Jul 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1465 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	19th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2021
City	Virtual, Online
Period	16/07/21 → 18/07/21

Keywords

Computational design optimization
Design exploration
Design spaces
Parametric design
Performance-based design

Access to Document

10.1007/978-981-19-1280-1_18

Cite this

Wang, L. (2022). Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization. In D. Gerber, E. Pantazis, B. Bogosian, A. Nahmad, & C. Miltiadis (Eds.), Computer-Aided Architectural Design. Design Imperatives: The Future is Now - 19th International Conference, CAAD Futures 2021, Selected Papers (pp. 288-297). (Communications in Computer and Information Science; Vol. 1465 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1280-1_18

Wang, Likai. / Understanding the Span of Design Spaces : And Its Implication for Performance-Based Design Optimization. Computer-Aided Architectural Design. Design Imperatives: The Future is Now - 19th International Conference, CAAD Futures 2021, Selected Papers. editor / David Gerber ; Evangelos Pantazis ; Biayna Bogosian ; Alicia Nahmad ; Constantinos Miltiadis. Springer Science and Business Media Deutschland GmbH, 2022. pp. 288-297 (Communications in Computer and Information Science).

@inproceedings{c37ca163c79743728882ea0ebc8f79b7,

title = "Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization",

abstract = "This paper presents a study investigating the impact of design spaces on performance-based design optimization and attempts to demonstrate the relationship between these two factors through the lens of the span of design spaces. The study defines the span of design spaces as the variety of different types of building design that can be embodied by the parametric model; thus, the wider the span, the more likely is the optimization to identify promising types of building design. In order to reveal the relationship between the span of design spaces and performance-based design optimization, the study present a case study that includes design spaces with various spans within a building design optimization problem considering daylighting performance. The result shows that the difference in span can result in significant changes in optimization in relation to fitness and architectural implications.",

keywords = "Computational design optimization, Design exploration, Design spaces, Parametric design, Performance-based design",

author = "Likai Wang",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Singapore Pte Ltd.; 19th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2021 ; Conference date: 16-07-2021 Through 18-07-2021",

year = "2022",

doi = "10.1007/978-981-19-1280-1_18",

language = "English",

isbn = "9789811912795",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "288--297",

editor = "David Gerber and Evangelos Pantazis and Biayna Bogosian and Alicia Nahmad and Constantinos Miltiadis",

booktitle = "Computer-Aided Architectural Design. Design Imperatives",

}

Wang, L 2022, Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization. in D Gerber, E Pantazis, B Bogosian, A Nahmad & C Miltiadis (eds), Computer-Aided Architectural Design. Design Imperatives: The Future is Now - 19th International Conference, CAAD Futures 2021, Selected Papers. Communications in Computer and Information Science, vol. 1465 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 288-297, 19th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2021, Virtual, Online, 16/07/21. https://doi.org/10.1007/978-981-19-1280-1_18

Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization. / Wang, Likai.
Computer-Aided Architectural Design. Design Imperatives: The Future is Now - 19th International Conference, CAAD Futures 2021, Selected Papers. ed. / David Gerber; Evangelos Pantazis; Biayna Bogosian; Alicia Nahmad; Constantinos Miltiadis. Springer Science and Business Media Deutschland GmbH, 2022. p. 288-297 (Communications in Computer and Information Science; Vol. 1465 CCIS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Understanding the Span of Design Spaces

T2 - 19th International Conference on Computer-Aided Architectural Design Futures, CAAD Futures 2021

AU - Wang, Likai

PY - 2022

Y1 - 2022

N2 - This paper presents a study investigating the impact of design spaces on performance-based design optimization and attempts to demonstrate the relationship between these two factors through the lens of the span of design spaces. The study defines the span of design spaces as the variety of different types of building design that can be embodied by the parametric model; thus, the wider the span, the more likely is the optimization to identify promising types of building design. In order to reveal the relationship between the span of design spaces and performance-based design optimization, the study present a case study that includes design spaces with various spans within a building design optimization problem considering daylighting performance. The result shows that the difference in span can result in significant changes in optimization in relation to fitness and architectural implications.

AB - This paper presents a study investigating the impact of design spaces on performance-based design optimization and attempts to demonstrate the relationship between these two factors through the lens of the span of design spaces. The study defines the span of design spaces as the variety of different types of building design that can be embodied by the parametric model; thus, the wider the span, the more likely is the optimization to identify promising types of building design. In order to reveal the relationship between the span of design spaces and performance-based design optimization, the study present a case study that includes design spaces with various spans within a building design optimization problem considering daylighting performance. The result shows that the difference in span can result in significant changes in optimization in relation to fitness and architectural implications.

KW - Computational design optimization

KW - Design exploration

KW - Design spaces

KW - Parametric design

KW - Performance-based design

UR - http://www.scopus.com/inward/record.url?scp=85127640184&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-1280-1_18

DO - 10.1007/978-981-19-1280-1_18

M3 - Conference Proceeding

AN - SCOPUS:85127640184

SN - 9789811912795

T3 - Communications in Computer and Information Science

SP - 288

EP - 297

BT - Computer-Aided Architectural Design. Design Imperatives

A2 - Gerber, David

A2 - Pantazis, Evangelos

A2 - Bogosian, Biayna

A2 - Nahmad, Alicia

A2 - Miltiadis, Constantinos

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 16 July 2021 through 18 July 2021

ER -

Wang L. Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization. In Gerber D, Pantazis E, Bogosian B, Nahmad A, Miltiadis C, editors, Computer-Aided Architectural Design. Design Imperatives: The Future is Now - 19th International Conference, CAAD Futures 2021, Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 288-297. (Communications in Computer and Information Science). doi: 10.1007/978-981-19-1280-1_18

Understanding the Span of Design Spaces: And Its Implication for Performance-Based Design Optimization

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

EvoMass - A design tool for typology-oriented building massing design generation, optimziation, and exploration

Cite this