CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id ecaade2013_114
id ecaade2013_114
authors Lin, Shih-Hsin Eve and Gerber, David
year 2013
title Evolutionary Energy Performance Feedback for Design (EEPFD)
source Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 175-184
doi https://doi.org/10.52842/conf.ecaade.2013.2.175
wos WOS:000340643600017
summary In order to understand the applicability of multidisciplinary design optimization (MDO) to the building design process, a MDO framework, titled Evolutionary Energy Performance Feedback for Design (EEPFD), along with the prototype tool, H.D.S. Beagle, were developed to support designers with the incorporation of partially automated performance feedback during the early stages of design. This paper presents 2 experimental case studies, one from the design profession and the other from a design studio, that evaluate the applicability and impact of EEPFD on the early stage design process. Through these two case studies two different interaction and automation approaches for applying EEPFD are explored as part of the framework validation. Observed benefits, challenges and suggestions of EEPFD’s implementation are then presented and discussed.
keywords Conceptual energy performance feedback; design decision support; performance-based design; multidisciplinary design optimization; genetic algorithm.
series eCAADe
email
last changed 2022/06/07 07:59

_id acadia23_v1_110
id acadia23_v1_110
authors Scelsa, Jonathan; Sheward, Gregory; Birkeland, Jennifer; Liu, Jemma; Lin, Yun Jou
year 2023
title Centripetal Clay Printing : Six-Axis Prints for Habitat Column
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 110-115.
summary Gottfried Semper, in his 1851 text The Four Elements of Architecture, famously classifies architecture into four elemental parts: the hearth, the roof, the enclosure, and the mound, describing the role of the last three to be the “defenders of the hearth’s flame against the three hostile elements of nature (Semper 2011).” Modernity has witnessed the role of enclosure evolve to that of a sealed envelope, or one which meticulously separates the ‘natural environment,’ from the internally regulated environment as part of modern comfort. The post-modern advent of the rain-screen has further separated the layer of exteriorized cultural expression from the structuring envelope, removing the ornamental aspect of Semper’s enclosure, from the enclosing layer. This habit of casting the natural processes out of our building envelopes has resulted in the rapid depletion of space for biodiversity within our cities. Joyce Hwang in her essay “Living Among Pests,” has suggested that the needed reconnection of biodiversity with our urban buildings will force a re-examination of “facade articulation to take on more responsibilities. Ornament will become performative” (Hwang 2013).
series ACADIA
type project
email
last changed 2024/04/17 13:58

_id acadia13_079
id acadia13_079
authors Jason Gerber, David; Eve Lin, Shih-Hsin; Amber Ma, Xinyue
year 2013
title Designing-In Performance: A Case Study of Applying Evolutionary Energy-Performance Feedback for Design (EEPFD)
source ACADIA 13: Adaptive Architecture [Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-926724-22-5] Cambridge 24-26 October, 2013), pp. 79-86
doi https://doi.org/10.52842/conf.acadia.2013.079
summary This paper explores the application of a novel Multi-disciplinary Design Optimization (MDO) framework to the early stage design process, through a case study where the designer serves as the primary user and driver. MDO methods have drawn attention from the building design industry as a potential means of overcoming obstacles between design and building performance feedback to support design decision-making. However, precedents exploring MDOs in application to the building design have previously been limited to driving use by engineers or research teams,thereby leaving the incorporation of MDO into a design process by designers largely unexplored. In order to investigate whether MDO can enable the ability to design in a performance environment during the conceptual design stage, a MDO design framework entitled Evolutionary Energy-Performance Feedback for Design (EEPFD) was developed. This paper explores the designer as the primary user by conducting a case study where the application of EEPFD to a single family residential housing unit is incorporated. Through this case study EEPFD demonstrates an ability to assist the designer in identifying higher performing design options while meeting the designer’s aesthetic preferences. In addition the benefits, limitations, concerns and lessons learned in the application of EEPFD are also discussed.
keywords conceptual energy-performance feedback; design decision support; parametric design; multi-disciplinary design optimization; genetic algorithm
series ACADIA
type Normal Paper
email
last changed 2022/06/07 07:52

_id caadria2013_006
id caadria2013_006
authors Gerber, David J. and Shih-Hsin (Eve) Lin
year 2013
title Geometric Complexity and Energy Simulation – Evolving Performance Driven Architectural Form
source Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 87-96
doi https://doi.org/10.52842/conf.caadria.2013.087
wos WOS:000351496100009
summary The research presents the custom development of a software tool and design process for integrating three design domains, their respective objectives, and geometric parameterizations. It then describes a set of experimental projects and analyses in the context of informing form and geometric complexity. Preliminary results of the multidisciplinary design optimization prototype, which, implements a genetic algorithm, are then presented. The findings include discussion of the value for architects for designing-in performance e.g. the bringing of the energy simulation and financial pro-forma upstream in the design process and of the value for trade off design decision making the system provides. The summary discussion includes the benefit of breeding architecturally complex geometries and the kinds of optimisations or search for improvements on designs that can be achieved.  
keywords Parametric, Generative, Optimisation, Design decision support 
series CAADRIA
email
last changed 2022/06/07 07:51

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