TY - GEN
T1 - Early-stage integration of architectural and structural performance in a parametric multi-objective design tool
AU - Brown, N.
AU - Ochsendorf, J.
AU - Mueller, C.
AU - de Oliveira, J.
N1 - Funding Information:
The case study used in this paper was inspired by the conceptual design of the Curragh Racecourse redevelopment in County Kildare, Ireland. The authors are grateful for the opportunity to collaborate with Grimshaw Architects in their design process for this project. The authors would also like to thank Carl Rosenberg of Acentech Inc. and Alejandra Menchaca of Payette for their contributions concerning the acoustic and rain protection evaluation methods, respectively. This research and collaboration was facilitated by the Aga Khan Award for Architecture. Additional support for the research was provided by Science Without Borders/CAPES - Brazil.
Publisher Copyright:
© 2016 Taylor & Francis Group, London.
PY - 2016
Y1 - 2016
N2 - In conceptual building design, an architect must simultaneously consider a variety of design objectives, including structural efficiency, total energy usage, and aesthetic expression. Multi-objective optimization (MOO) has been demonstrated to adequately account for designers’ needs and guide them towards high performing solutions early in the design process. However, conceptual building designers seldom use MOO in practice, and although the use of parametric design tools is widespread, these tools rarely give rapid, multidimensional performance feedback to guide design exploration. In response, this paper describes relevant MOO methods and discusses how architects and engineers can use them to generate diverse, high-performing designs. It also introduces a number of computational tools that support MOO implementation and are embedded in traditional parametric modeling software. Finally, this paper presents a design case study of a cantilevered stadium roof to show how designers can effectively set up and navigate an architectural design space.
AB - In conceptual building design, an architect must simultaneously consider a variety of design objectives, including structural efficiency, total energy usage, and aesthetic expression. Multi-objective optimization (MOO) has been demonstrated to adequately account for designers’ needs and guide them towards high performing solutions early in the design process. However, conceptual building designers seldom use MOO in practice, and although the use of parametric design tools is widespread, these tools rarely give rapid, multidimensional performance feedback to guide design exploration. In response, this paper describes relevant MOO methods and discusses how architects and engineers can use them to generate diverse, high-performing designs. It also introduces a number of computational tools that support MOO implementation and are embedded in traditional parametric modeling software. Finally, this paper presents a design case study of a cantilevered stadium roof to show how designers can effectively set up and navigate an architectural design space.
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U2 - 10.1201/b20891-152
DO - 10.1201/b20891-152
M3 - Conference contribution
AN - SCOPUS:85015077701
SN - 9781138026513
T3 - Structures and Architecture - Proceedings of the 3rd International Conference on Structures and Architecture, ICSA 2016
SP - 1103
EP - 1111
BT - Structures and Architecture - Proceedings of the 3rd International Conference on Structures and Architecture, ICSA 2016
A2 - Cruz, Paulo J.S.
PB - CRC Press/Balkema
T2 - 3rd International Conference on Structures and Architecture, ICSA 2016
Y2 - 27 July 2016 through 29 July 2016
ER -