Cumincad : CUMINCAD Papers : Search Results

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	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)
doi	https://doi.org/10.52842/conf.acadia.2013.079
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
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
doi	https://doi.org/10.52842/conf.caadria.2013.087
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
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.
wos	WOS:000351496100009
keywords	Parametric, Generative, Optimisation, Design decision support
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaade2013_114
id	ecaade2013_114
authors	Lin, Shih-Hsin Eve and Gerber, David
year	2013
title	Evolutionary Energy Performance Feedback for Design (EEPFD)
doi	https://doi.org/10.52842/conf.ecaade.2013.2.175
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
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.
wos	WOS:000340643600017
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	ecaade2013_258
id	ecaade2013_258
authors	Makris, Michael; Gerber, David; Carlson, Anders and Noble, Doug
year	2013
title	Informing Design through Parametric Integrated Structural Simulation
doi	https://doi.org/10.52842/conf.ecaade.2013.1.069
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 69-77
summary	The paper describes the development, testing, and initial findings of a design tool that generates parametrically defined, semi-automatically analyzed, and visualized structural performance of specific truss designs. The prototypical design tool provides structural truss solutions for spans of uniform to non-uniform surface curvatures. Real-time visual structural performance feedback enables the designer to more rapidly develop viable and potentially more efficient designs under user defined load conditions. The research methodology is an example of reinforcing structural learning and intuition within the design process. The research presents findings of the impact of iterative and interactive structural feedback through the development of a parametrically integrated structural truss analysis tool for aiding in design decision support.
wos	WOS:000340635300006
keywords	Design decision support; structural analysis; parametric design; design optimization; structural design.
series	eCAADe
email
last changed	2022/06/07 07:59

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