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

PDF papers
References

Hits 1 to 6 of 6

Reformat results as: short short into frame detailed detailed into frame

_id	caadria2012_109
id	caadria2012_109
authors	Gerber, David; Mohamed M. ElSheikh and Aslihan Senel Solmaz
year	2012
title	Associative parametric design and financial optimisation - 'Cash Back 1.0': Parametric design for visualising and optimising Return on Investment for early stage design decision-making
doi	https://doi.org/10.52842/conf.caadria.2012.047
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 47–56
summary	Cash-Back 1.0 presents research on the development of methodologies and technologies to simulate the cause and effect of early stage geometric design alternatives of buildings and the real time results upon financial pro-forma. Through the encoding of design rules and their associative relationships to financial pro-forma the research illustrates enhanced visualization of early stage building design decisions and their cumulative impact on financial goals and constraints. The research presents value an associative parametric design process affords often-disparate domains through correlation and visualization. The paper describes incorporation of a feedback loop between pro-forma and geometric models in conjunction with an optimization method. Given the level of uncertainty in early stage design decision making the research contributes partial solutions to the domain problems of design decision uncertainty and design cycle latency and is further argumentation for increased use of parametric design methods and automation to support design domain integration.
keywords	Parametric design; genetic algorithm; design decision support; multi domain optimisation; domain integration
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2012_108
id	caadria2012_108
authors	Gerber, David and Shih-Hsin (Eve) Lin
year	2012
title	Designing-in performance through parameterisation, automation, and evolutionary algorithms: ‘H.D.S. BEAGLE 1.0’
doi	https://doi.org/10.52842/conf.caadria.2012.141
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 141–150
summary	Design is both a goal oriented and decision making activity. It is ill-defined by nature as designing includes weighing and understanding trade-offs amongst soft and hard objectives or in other words vague or imprecise and computationally definable criteria and goals. In this regard designers in most contemporary practices face a crisis of sorts. How do we achieve performance or sustainability under these large degrees of uncertainty or with limited design cycle times? Fundamentally design collaborations, teams of domain experts, are not typically given enough time to design-explore, generate design alternatives in order to find or evolve solution quality through expansive design search spaces. Given these limitations of time and the ever more complex criteria for ‘designing-in’ performance our research approach provides a computational strategy to expand the solution space as well as pre-sort and qualify candidate designs. The research presents a novel methodology and technology framework and an initial implementation that was developed to enhance the human activity of design exploration, domain integration, and further evolve design process for performance goals. The research does so through generating and optimising a highly correlated solution space in conjunction with a near simultaneous evaluation of design alternative fitness.
keywords	Parametric design; multi-disciplinary design optimisation (MDO); evolutionary algorithms; performative design process
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2012_107
id	caadria2012_107
authors	Gerber, David and A. Senel Solmaz
year	2012
title	PARA-Typing the making of difference: Associative parametric design methodologies for teaching the prototyping of material affect
doi	https://doi.org/10.52842/conf.caadria.2012.233
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 233–242
summary	PARA-Typing the Making of Difference presents design research and instruction into the use of constraint based digital and analogue modelling techniques and the development of associative parametric models to simulate highly differentiated fabricated form. These design research projects were conceived as manual analogue generative processes for prototyping modularity and serial differentiation. Then through associative parametric design technologies and methodologies, modular fields were design explored and developed in concert with material properties and constraints. Utilising digital fabrication full-scale installations were designed, manufactured, and constructed as tiled walls that created differentiated space within site-specific configurations.
keywords	Generative design; parametric modelling; prototyping; digital fabrication; tectonics
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ijac201210403
id	ijac201210403
authors	Gerber, David J.
year	2012
title	PARA-Typing Informing Form and the Making of Difference
source	International Journal of Architectural Computing vol. 10 - no. 4, 501-520
summary	This paper presents design research and instruction into the use of constraint based digital and analogue modelling techniques and the development of associative parametric models to simulate highly differentiated fabricated form. One set of these design research projects were conceived as manual analogue generative processes for prototyping modularity and serial differentiation.Then through parametric design techniques, modular aggregations were design explored and developed in concert with material properties and constraints. Utilizing digital fabrication full-scale installations were designed, manufactured, and for site-specific configurations. A second set of projects provides an extension of the design instruction that includes the integration of performance criteria into these design objectives.The objectives of the research are to present benefits and limitations of the incorporation of parametric design, performance analysis, and prototyping techniques in comprehensive studio instruction.The paper discusses the resultant informed materialized difference and the impacts on achieving reinforced and hands on learning objectives.
keywords	Generative design; parametric modelling; prototyping; digital fabrication; design pedagogy; performative design
series	journal
last changed	2019/05/24 09:55

_id	acadia12_67
id	acadia12_67
authors	Gerber, Dr. David Jason ; Lin, Shih-Hsin
year	2012
title	Synthesizing Design Performance: An Evolutionary Approach to Multidisciplinary Design Search
doi	https://doi.org/10.52842/conf.acadia.2012.067
source	ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 67-75
summary	Design is a goal oriented decision-making activity. Design is ill defined and requiring of synthetic approaches to weighing and understanding tradeoffs amongst soft and hard objectives, and the imprecise and or computationally explicit criteria and goals. In this regard designers in contemporary practice face a crisis of sorts. How do we achieve performance under large degrees of uncertainty and limited design cycle time? How do we better design for integrating performance? Fundamentally design teams, are not typically given enough time nor the best tools to design explore, to generate design alternatives, and then evolve solution quality to search for best fit through expansive design solution spaces. Given the complex criteria for defining performance in architecture our research approach experiments upon an evolutionary and integrative computational strategy to expand the solution space of a design problem as well as pre-sort and qualify candidate designs. We present technology and methodology that supports rapid development of design problem solution spaces in which three design domains objectives have multi-directional impact on each other. The research describes the use of an evolutionary approach in which a genetic algorithm is used as a means to automate the design alternative population as well as to facilitate multidisciplinary design domain optimization. The paper provides a technical description of the prototype design, one that integrates associative parametric modeling with an energy use intensity evaluation and with a financial pro forma. The initial results of the research are presented and analyzed including impacts on design process; the impacts on design uncertainty and design cycle latency; and the affordances for ‘designing-in’ performance and managing project complexity. A summary discussion is developed which describes a future cloud implementation and the future extensions into other domains, scales, tectonic and system detail.
keywords	Parametric Design , Domain Integration , Design Methods , Multidisciplinary Design Optimization (MDO) , Evolutionary Algorithms , Design Decision Support , Generative Design
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	sigradi2017_077
id	sigradi2017_077
authors	Soto Muñoz, Jaime; Jesús Pulido Arcas, Rodrigo García Alvarado, Gastón Arias Aravena
year	2017
title	La implementación de la Metodología Building Information Modeling (BIM) para edificios existentes en Chile [La implementación de la Metodología Building Information Modeling (BIM) para edificios existentes en Chile]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.528-533
summary	BIM technology is currently being implemented in the construction industry, though it is still underdeveloped in relation to Facility Management (FC) of extant buildings. There is a strong potential for future development due to the visualization and data analysis capabilities of this technology, amongst others (Becerik-Gerber, Jazizadeh, Li, & Calis, 2012). This research investigates how BIM can be implemented in existing buildings currently in operation. Using a public facility at the University of Bio-Bio as a case study, conclusions are drawn with respect the capabilities of BIM in order to optimize maintenance and operation of existing buildings.
series	SIGRADI
email
last changed	2021/03/28 19:59

No more hits.