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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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_id sigradi2008_166
id sigradi2008_166
authors Papanikolaou, Dimitris
year 2008
title Digital Fabrication Production System Theory: Towards an Integrated Environment for Design and Production of Assemblies
source SIGraDi 2008 - [Proceedings of the 12th Iberoamerican Congress of Digital Graphics] La Habana - Cuba 1-5 December 2008
summary A Digital Fabrication Production System (DFPS) is a concept describing a set of processes, tools, and resources that will be able to produce an artifact according to a design, fast, cheap, and easy, independently of location. A DFPS project is a complex assembly of custom parts that is delivered by a network of fabrication and assembly processes. This network is called the value chain. The workflow concept of a DFPS is the following: begin design process with a custom geometric form; decompose it into constructible parts; send the part files for fabrication to various locations; transport all parts at the construction site at the right time; finally, assemble the final artifact. Conceptually it means that based on a well structured value chain we could build anything we want, at anyplace, at controllable cost and quality. The goals of a DFPS are the following: custom shapes, controllable lead time, controllable quality, controllable cost, easiness of fabrication, and easiness of assembly. Simply stated this means to build any form, anywhere, accurately, cheap, fast, and easy. Unfortunately, the reality with current Digital Fabrication (DF) projects is rather disappointing: They take more time than what was planned, they get more expensive than what was expected, they involve great risk and uncertainty, and finally they are too complex to plan, understand, and manage. Moreover, most of these problems are discovered during production when it is already late for correction. However, there is currently no systematic approach to evaluate difficulty of production of DF projects in Architecture. Most of current risk assessment methods are based on experience gathered from previous similar cases. But it is the premise of mass customization that projects can be radically different. Assembly incompatibilities are currently addressed by building physical mockups. But physical mockups cause a significant loss in both time and cost. All these problems suggest that an introduction of a DFPS for mass customization in architecture needs first an integrated theory of assembly and management control. Evaluating feasibility of a DF project has two main problems: first, how to evaluate assemblability of the design; second, how to evaluate performance of the value chain. Assemblability is a system’s structure problem, while performance is a system’s dynamics problem. Structure of systems has been studied in the field of Systems Engineering by Network Analysis methods such as the Design Structure Matrix (DSM) (Steward 1981), and the liaison graph (Whitney 2004), while dynamics of systems have been studied by System Dynamics (Forrester 1961). Can we define a formal method to evaluate the difficulty of production of an artifact if we know the artifact’s design and the production system’s structure? This paper formulates Attribute Process Methodology (APM); a method for assessing feasibility of a DFPS project that combines Network Analysis to evaluate assemblability of the design with System Dynamics to evaluate performance of the value chain.
keywords Digital Fabrication, Production System, System Dynamics, Network Analysis, Assembly
series SIGRADI
email
last changed 2016/03/10 09:57
_id cf2011_p018
id cf2011_p018
authors Sokmenoglu, Ahu; Cagdas Gulen, Sariyildiz Sevil
year 2011
title A Multi-dimensional Exploration of Urban Attributes by Data Mining
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 333-350.
summary The paper which is proposed here will introduce an ongoing research project aiming to research data mining as a methodology of knowledge discovery in urban feature analysis. To address the increasing multi-dimensional and relational complexity of urban environments requires a multidisciplinary approach to urban analysis. This research is an attempt to establish a link between knowledge discovery methodologies and automated urban feature analysis. Therefore, in the scope of this research we apply data mining methodologies for urban analysis. Data mining is defined as to extract important patterns and trends from raw data (Witten and Frank, 2005). When applied to discover relationships between urban attributes, data mining can constitute a methodology for the analysis of multi-dimensional relational complexity of urban environments (Gil, Montenegro, Beirao and Duarte, 2009) The theoretical motivation of the research is derived by the lack of explanatory urban knowledge which is an issue since 1970’s in the area of urban research. This situation is mostly associated with deductive methods of analysis. The analysis of urban system from the perspective of few interrelated factors, without considering the multi-dimensionality of the system in a deductive fashion was not been explanatory enough. (Jacobs, 1961, Lefebvre, 1970 Harvey, 1973) To address the multi-dimensional and relational complexity of urban environments requires the consideration of diverse spatial, social, economic, cultural, morphological, environmental, political etc. features of urban entities. The main claim is that, in urban analysis, there is a need to advance from traditional one dimensional (Marshall, 2004) description and classification of urban forms (e.g. Land-use maps, Density maps) to the consideration of the simultaneous multi-dimensionality of urban systems. For this purpose, this research proposes a methodology consisting of the application of data mining as a knowledge discovery method into a GIS based conceptual urban database built out of official real data of Beyoglu. Generally, the proposed methodology is a framework for representing and analyzing urban entities represented as objects with properties (attributes). It concerns the formulation of an urban entity’s database based on both available and non-available (constructed from available data) data, and then data mining of spatial and non-spatial attributes of the urban entities. Location or position is the primary reference basis for the data that is describing urban entities. Urban entities are; building floors, buildings, building blocks, streets, geographically defined districts and neighborhoods etc. Urban attributes are district properties of locations (such as land-use, land value, slope, view and so forth) that change from one location to another. Every basic urban entity is unique in terms of its attributes. All the available qualitative and quantitative attributes that is relavant (in the mind of the analyst) and appropriate for encoding, can be coded inside the computer representation of the basic urban entity. Our methodology is applied by using the real and official, the most complex, complete and up-to-dataset of Beyoglu (a historical neighborhood of Istanbul) that is provided by the Istanbul Metropolitan Municipality (IBB). Basically, in our research, data mining in the context of urban data is introduced as a computer based, data-driven, context-specific approach for supporting analysis of urban systems without relying on any existing theories. Data mining in the context of urban data; • Can help in the design process by providing site-specific insight through deeper understanding of urban data. • Can produce results that can assist architects and urban planners at design, policy and strategy levels. • Can constitute a robust scientific base for rule definition in urban simulation applications such as urban growth prediction systems, land-use simulation models etc. In the paper, firstly we will present the framework of our research with an emphasis on its theoretical background. Afterwards we will introduce our methodology in detail and finally we will present some of important results of data mining analysis processed in Rapid Miner open-source software. Specifically, our research define a general framework for knowledge discovery in urban feature analysis and enable the usage of GIS and data mining as complementary applications in urban feature analysis. Acknowledgments I would like to thank to Nuffic, the Netherlands Organization for International Cooperation in Higher Education, for funding of this research. I would like to thank Ceyhun Burak Akgul for his support in Data Mining and to H. Serdar Kaya for his support in GIS.
keywords urban feature analysis, data mining, urban database, urban complexity, GIS
series CAAD Futures
email
last changed 2012/02/11 19:21
_id 4e2e
authors Wiener, Norbert
year 1961
title Cybernetics : Control and Communication in the Animal and the Machine --2nd. ed
source 212 p. Cambridge, Mass.: The MIT press, 1961. includes index
summary It is the author belief that cybernetics should be considered not merely as a program to be carried out in the future, but as an existing science. In this book the author's intention is to express and to exemplify his ideas on cybernetics and to display some of his personal philosophical reflections
keywords robotics, communication, intelligence, psychology, cybernetics
series CADline
last changed 1999/02/12 15:10
_id caadria2006_633
id caadria2006_633
authors WAN-YU LIU
year 2006
title THE EMERGING DIGITAL STYLE: Attention shift in architectural style recognition
source CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 633-635
doi https://doi.org/10.52842/conf.caadria.2006.x.g4f
summary “Style” has long been an important index to observe the design thinking of designers in architecture. Gombrich (1968) defined style as a particular selection from the alternatives when doing things; Ackerman (1963) considered that a distiguishable ensemble of certain characteristics we call a style; Schapiro (1961) pointed out that style is constant forms, and sometimes the constant elements, qualities and expression; Kirsch (1998), Cha and Gero (1999) thought of style as a form element and shape pattern. As Simon and others referred to, style emerged from the process of problem solving, Chan (1994, 2001) ever devised a serious of experiments to set up the operational definitions of style, further five factors that relate to generating styles. Owing to that the greater part of sketches and drawings in the design process couldn’t be replaced by computer-aided design systems (Eisentraut, 1997), designers must shift between different problem-solving methods while facing different design problems. The purpose in this research is to discuss the influences of computer usage on style generation and style recognition: The employment of certain procedural factors that occurred in the design processes that using conventional media is different from the ones that using computer media? Do personal styles emerge while designers shifting between different media in the design processes? Does any unusual phenomenon emerge while accustomed CAD-systems designers recognizing a style?
series CAADRIA
email
last changed 2022/06/07 07:49
_id 2006_234
id 2006_234
authors Donath, Dirk and Christian Tonn
year 2006
title Complex design strategies using building information models - Evaluation and interpretation of boundary conditions, supported by computer software
source Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 234-243
doi https://doi.org/10.52842/conf.ecaade.2006.234
summary The choice of a chord and its execution should be regarded as a must and not left to arbitrary wish or superficial speculation. (Johannes Itten, 1961) The paper describes a modular concept for the IT-support of planning practice using BIM (Building Information Modelling) and a parameterized building model. The platform used is the modularized software concept for architectural planning in existing built contexts (prototype software FREAK). The current progress in the development of a reasoned support of planning tasks is described in this paper in more detail. The system consists of a series of software prototypes which are linked to the BIM, utilize the specific data within and demonstrate the value of a consistent and extendable CAD-model. The “Colored Architecture” software prototype is one such design-support module of the software platform and enables the designer to experiment with the parameters colour, light and materials in architectural space. This module supports experimentation, assessment and realization of colours and materials in the architectural design process on a new quality. For instance, the integration of “live radiosity” light simulation allows a qualified and interactive assessment and evaluation of colours and materials in near-real lighting conditions. The paper also details further software prototypes, modules and concepts including building surveying and the design of self-supporting domed structures.
keywords Design; Parameterized Building Information Modelling; Plausibility; Planning Support; Colour, Material and Light Design
series eCAADe
email
last changed 2022/06/07 07:55

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