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	caadria2014_105
id	caadria2014_105
authors	Takeda, Hiroyuki; Yoshinori Kurashige, Keishiro Hara and Atsuko Kaga
year	2014
title	Methodology of City Analysis for Evaluating Compactness Using GIS
doi	https://doi.org/10.52842/conf.caadria.2014.243
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 243–252
summary	A method to evaluate convenience for daily life focusing on proximity and accessibility is proposed. First, a set of indicators related to convenience for daily life was developed, and comprehensive evaluation on physical environments of a city was conducted by utilizing GIS, statistical, and other surveyed data. Then, a proposed evaluation procedure with a weighting method using the age categories of residents was applied to clarify the areas that could attain high convenience. Additionally, the change of convenience associated with the change in future demographic characteristics was examined based on the estimated population and demographic characteristics in 2040. Potential "cores" were identified that can efficiently enhance the force of centralization needed for realization of a compact city. It was also suggested that the evaluation method developed in this research can be used as a tool to address and realize sustainability in cities.
keywords	City analysis; compact city; GIS; big data
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 131-140
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia14_389
id	acadia14_389
authors	Johnson, Jason; Parker, Matthew
year	2014
title	This is not a Glitch: Algorithms and Anomalies in Google Architecture
doi	https://doi.org/10.52842/conf.acadia.2014.389
source	ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 389-398
summary	This paper presents a body of research that explores the ways in which computer vision is being paired with big data collection engines to map/simulate the physical environment in digital space. These algorithms are producing increasingly ubiquitous representations of 3 dimensional space which are accessed by governments, security agencies, private citizens and in the context of this paper, designers. Designers often accept these simulations as highly accurate despite understanding very little about how they are produced.
keywords	Big Data, Simulation and Representation, Google Earth, Image Mapping, Computational Design, Computer Vision
series	ACADIA
type	Normal Paper
email
last changed	2022/06/07 07:52

_id	acadia16_424
id	acadia16_424
authors	Twose, Simon; du Chatenier, Rosa
year	2016
title	Experimental Material Research - Digital Chocolate
doi	https://doi.org/10.52842/conf.acadia.2016.424
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 424-431
summary	This research investigates the aesthetics of a shared agency between humans, computation and physical material. ‘Chocolate’ is manipulated in physical and virtual space simultaneously to extract aesthetic conditions that are a sum of human and non-human relations. This is an attempt to further the knowledge of designing, giving physical and digital materials force in determining their own aesthetics. The research springs from work in speculative aesthetics, particularly N. Katherine Hayles’s OOI (object-oriented inquiry) and Graham Harman’s OOO (object-oriented ontology) and explores how these ideas impact contemporary computational architectural design. To study this, a simple material has been chosen, chocolate, and used as a vehicle to investigate the dynamics of physical and digital materials and their shared/differing ‘resistances to human manipulation’ (Pickering 1995). Digital chocolate is ‘melted’ through virtual heat, and the results printed and cast in real chocolate, to be further manipulated in real space. The resistances and feedback of physical and digital chocolate to human ‘prodding’ (Hayles 2014) are analyzed in terms of a material’s qualities and tendencies in digital space versus those in physical space. Observations from this process are used to speculate on an aesthetics where humans, computation and physical material are mutually agential. This research is a pilot for a larger study taking on more complex conditions, such as building and cities, with a view to broadening how aesthetics is understood in architectural design. The contribution of this research to the field of architectural computation is thus in areas of aesthetic speculation and human/non-human architectural authorship.
keywords	object-oriented inquiry, speculative aesthetics, mutual agency, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	ecaade2024_167
id	ecaade2024_167
authors	Alammar, Ammar; Alymani, Abdulrahman; Jabi, Wassim
year	2024
title	Building Energy Efficiency Estimations with Random Forest for Single and Multi-Zones
doi	https://doi.org/10.52842/conf.ecaade.2024.2.365
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 365–374
summary	Surrogate models (SM) present an opportunity for rapid assessment of a building's performance, surpassing the pace of simulation-based methods. Setting up a simulation for a single concept involves defining numerous parameters, disrupting the architect's creative flow due to extended simulation run times. Therefore, this research explores integrating building energy analysis with advanced machine learning techniques to predict heating and cooling loads (KWh/m2) for single and multi-zones in buildings. To generate the dataset, the study adopts a parametric generative workflow, building upon Chou and Bui's (2014) methodology. This dataset encompasses multiple building forms, each with unique topological connections and attributes, ensuring a thorough analysis across varied building scenarios. These scenarios undergo thermal simulation to generate data for machine learning analysis. The study primarily utilizes Random Forest (RF) as a new technique to estimate the heating and cooling loads in buildings, a critical factor in building energy efficiency. Following that, A random search approach is utilized to optimize the hyperparameters, enhancing the robustness and accuracy of the machine learning models employed later in the research. The RF algorithms demonstrate high performance in predicting heating and cooling loads (KWh/m2), contributing to enhanced building energy efficiency. The study underscores the potential of machine learning in optimizing building designs for energy efficiency.
keywords	Heating and Cooling loads, Topology, Machine learning, Random Forest
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2014_141
id	ecaade2014_141
authors	Martin Tamke, Morten Myrup Jensen, Jakob Beetz, Thomas Krijnen and Dag Fjeld Edvardsen
year	2014
title	Building Information Deduced - State and potentials for Information query in Building Information Modelling
doi	https://doi.org/10.52842/conf.ecaade.2014.2.375
source	Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 2, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 375-384
summary	In recent years, Building Information Models have become commonplace in building profession. The extensive use and increasing experience with BIM models offers new perspectives and potentials for design and planning. A recent stakeholder study conducted by the authors of this paper show that in practice models are no longer solely observed as culmination of knowledge in a 3d representation of future built structures, but as a source of information in itself. Experienced users of BIM want to Find Information within a model or across a set of these and Compare models in order to evaluate states of a model, differences in separate models or models from different point of time. Current BIM tools support both modes only in a rudimentary form. This paper discusses current modes of information query within and across BIM models, shows beneficial scenarios for building and planning practice through customised queries and exemplifies these on the base of a scripted tool. This customized approach is used to test approaches for a machine-based assessment of Level of detail and BIM-readiness in BIM models.
wos	WOS:000361385100039
keywords	Building information modelling; bim; ifc; openbim; information query; data extraction
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2014_015
id	ecaade2014_015
authors	Odysseas Kontovourkis and George Tryfonos
year	2014
title	Physical input-driven offline robotic simulation through a feedback loop process
doi	https://doi.org/10.52842/conf.ecaade.2014.1.411
source	Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 411-421
summary	This ongoing research describes a feedback loop procedure where physical inputs are used as the medium for offline robotic simulation. The purpose is to investigate the ability of industrial robots that are currently used in manufacturing processes to work in a flexible and productive manner whilst providing a continuous feedback loop between physical inputs and fabrication artifacts. In order to achieve this, a methodology is developed that involves the use of data acquisition devices to enable the transference of information from the physical to the digital environment and then to use this data as real-time parameters to control the robot's behaviour during fabrication. The aim is to achieve active involvement of robots in the manufacturing process to address complex construction issues and to ensure accuracy, a reduction in manufacturing defects and flexibility in the materials used. This investigation is accompanied by relevant experiments to exemplify the potential of control mechanisms to be used in prototyping case studies.
wos	WOS:000361384700041
keywords	Physical input; robotic simulation; feedback loop; manufacturing process; material control
series	eCAADe
email
last changed	2022/06/07 08:00

_id	caadria2014_031
id	caadria2014_031
authors	Phare, Darin; Ning Gu and Anthony Williams
year	2014
title	A Semiotic Analysis of Representational Imagery Used in a Collective Design Task
doi	https://doi.org/10.52842/conf.caadria.2014.431
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 431–440
summary	Collective Design seeks to explore how new forms of Collective Intelligence, arising from the web, allows mass participation in design. Regarding design we have a wellestablished grounding for understanding how design works through the use of representations. Likewise, collective intelligence via certain crowdsourcing examples has demonstrated that a diverse crowd can trump ability groups, when the conditions are right. In the literature, crowdsourcing is the leading lens bridging design with collective intelligence. However in crowdsourcing design there is less focus on the role of shared representations, subsequently any collective diversity is mitigated by the models that govern the extraction of this intelligence. We propose that more effective design in collective intelligence lies in the crowd’s ability to generate meaningful contributions via the content of shared representations. In order to investigate this, the current paper examines data collected from a pilot study in which a representationally rich online collaborative presentation tool is used to provide a shared design space. The analysis presented applies our previously established semiotic framework to identify potential patterns in the meaningful communication of image based design information.
keywords	Collective Design; representation; semiotics
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	sigradi2014_186
id	sigradi2014_186
authors	Soto, Bruno Perelli; Eduardo Hamuy Pinto, Paola De la Sotta
year	2014
title	Identificación de Recursos Digitales de Visualización para la Aplicación de un Modelo de Evaluación en el Taller [Identification of Digital Visualization Resources for Implementation of an Assessment Model in the Studio Course]
source	SiGraDi 2014 [Proceedings of the 18th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-9974-99-655-7] Uruguay - Montevideo 12 - 14 November 2014, pp. 586-590
summary	OM model for assessment helps to improve teaching practice and student learning in studio courses. A visualization artifact is under development, which addresses need to manage qualitative and quantitative data generated. The aim of present phase is evaluation of different visualization resources. A review of several taxonomies of visualization resources is undertaken. From high-level perspective, design model taxonomy is suitable, as well as mixed methods, related to research by design approach. From low-level taxonomy, evolution of the display modes used in successive prototypes, from Cartesian structure diagrams to radial structure diagrams are analyzed, through iterations of heuristic evaluation.
keywords	Visualization; Assessment; Design teaching; Research by design
series	SIGRADI
email
last changed	2016/03/10 10:00

_id	ascaad2014_008
id	ascaad2014_008
authors	Chokhachian, Ata and Abolfazl Dehghanmongabadi
year	2014
title	Critical Attitude toward the Footstep of Googie Architecture on Parametric Architecture
source	Digital Crafting [7th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2014 / ISBN 978-603-90142-5-6], Jeddah (Kingdom of Saudi Arabia), 31 March - 3 April 2014, pp. 109-118
summary	Advent of machinery age, altering in human needs and lifestyle has changed the pattern of architecture. This pattern is in close relation with different environmental, contextual, behavioral and theoretical aspects of dwellers. With a glance to the history of design, in 1940s the new style of architecture came up which was called Googie architecture. It was a movement of modern architecture, a subdivision of futurist architecture influenced by car culture and the Space Age. This style was alive up to mid-1960s but in its short life, it put a big impact on the appearance of the cities and buildings. Furthermore, in recent years the new style of architecture named Parametricism has started to take shape and accordingly the formal appearance is very close to Googie architecture. Also parametric architecture is out birth of technology and the idea of communication and futurism. The research is questioning the characteristics of parametric and Googie architecture with scrutinizing the origins and main gestures of these styles in society and culture of the period that they exist in. the research tries to figure out failures of Googie style in its own period and parallel to this, it give suggestions to implement and transform qualitative parameters in the design process by means of adapting pattern language in design process, applying parametric design thinking and simplexity in design systems.
series	ASCAAD
email
last changed	2016/02/15 13:09

_id	cf2015_099
id	cf2015_099
authors	Dickinson, Susannah
year	2015
title	Hybrid Connections: Computational Mapping Methodologies for Mexico City
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 99-111.
summary	The digital age is facilitating an ever increasing trend of globalized language and culture. Environmental issues are no longer a static concept as climate change and population growth force concepts of adaptability. What does this mean for the academy? How do we educate students to contemplate future urban scenarios and make some organization out of this more dynamic, complex future? The following paper seeks to disseminate a spring 2014 design studio at The University of Arizona where these issues were addressed, with Mexico City as a test bed. Computation has become a vital tool in the organizational process of these complex issues and big data. Various digital tools and platforms were explored in the studio to determine which ones would be most useful in modeling, mapping, designing and processing some of the complex relationships that are present in urban environments today.
keywords	digital methodologies, urban design, complexity, hybridized networks, adaptability
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	acadia14_619
id	acadia14_619
authors	Erhan, Halil; Wang, Ivy; Shireen, Naghmi
year	2014
title	Interacting with Thousands: A Parametric-Space Exploration Method in Generative Design
doi	https://doi.org/10.52842/conf.acadia.2014.619
source	ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 619-626
summary	Although generative and parametric design methods open possibilities for working with a large number of solutions, there is almost no computational support for designers to directly manage, sort, filter, and select the generated designs. In this study, we propose an approach that presents a similarity-based design exploration relying on similarity indices that aims to reduce and collapse design space into manageable scales.
keywords	parametric design, generative methods, design space reduction, similarity metrics and indices, similarity matrix; BIG DATA
series	ACADIA
type	Normal Paper
email
last changed	2022/06/07 07:55

_id	acadia14_167
id	acadia14_167
authors	Marcus, Adam
year	2014
title	Centennial Chromagraph: Data Spatialization and Computational Craft
doi	https://doi.org/10.52842/conf.acadia.2014.167
source	ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 167-176
summary	This paper describes the design, fabrication, and assembly process of Centennial Chromagraph, a large-scale installation recently constructed for the centennial anniversary of the University of Minnesota School of Architecture. The project is an exercise in data spatialization: using computational design tools to generate formal and spatial constructions with large quantities of information.
keywords	Category: Generative Design / Big Data; Keywords: data spatialization, big data, computational design, digital fabrication, digital craft, information aesthetics
series	ACADIA
type	Normal Paper
email
last changed	2022/06/07 07:59

_id	acadia14projects_46
id	acadia14projects_46
authors	Marus, Adam
year	2014
title	Centennial Chromagraph
doi	https://doi.org/10.52842/conf.acadia.2014.043.2
source	ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 43-46
summary	Centennial Chromagraph is a life-size representation of the history of the University of Minnesota School of Architecture. The project employs techniques gleaned from contemporary approaches to “Big Data” to visualize the School’s history while also producing abstract material effects of light and color.
keywords	data spatialization, big data, computational design, digital fabrication, digital craft, information aesthetics
series	ACADIA
type	Research Projects
email
last changed	2022/06/07 07:59

_id	acadia14projects_219
id	acadia14projects_219
authors	Mirmotahari, AmirReza; Theodosiou, Joanna; Al-Hadeethi, Shahad Thamer
year	2014
title	CrystalCloud
doi	https://doi.org/10.52842/conf.acadia.2014.219.2
source	ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 219-222
summary	The aim of this project is to create a system that hybridizes two natural systems, clouds and crystals, and simultaneously explores the aspect of light. These rich domains with the introduction of small glass beads lead to an intricate fabric of architecture and moreover to a high-resolution fabric of light.
keywords	synthetic constructability, Multi Agent Systems in Design, Robotics and Autonomous Design Systems, Big Data, Simulation + Intuition, Design Decision Making, Generative Design, Multidisciplinary Design Optimization, Design Computing and Cognition
series	ACADIA
type	Student's Research Projects
email
last changed	2022/06/07 07:58

_id	acadia14projects_139
id	acadia14projects_139
authors	Shiordia, Rodrigo; Gerber, David Jason
year	2014
title	Context-Aware Multi-Agent Systems: Negotiating Intensive Fields
doi	https://doi.org/10.52842/conf.acadia.2014.139
source	ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 139-142
summary	This poster presents an implementation of a context aware L-System for simulating a generative method for deploying irrigation networks in a brownfield in Mexico City. A custom system was designed with the constraints that a discrete data sensing logic imposes on a generative strategy based on a scheme responding to soil salinity.
keywords	Multi-Agent Systems in Design, Generative Design, Big Data, Robotics and Autonomous Design Systems, Collective Intelligence in Design, L-System
series	ACADIA
type	Research Projects
email
last changed	2022/06/07 07:56

_id	acadia14_75
id	acadia14_75
authors	Webb, Alexander
year	2014
title	Productive Hybrids: Folding Social Media As Urban Analysis
doi	https://doi.org/10.52842/conf.acadia.2014.075
source	ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp. 75-80
summary	This paper investigates a technique of layering big datasets as a method of analysis and representation.
keywords	Big Data, Urban Analysis, Grasshopper, Mapping, Meerkat, Folding
series	ACADIA
type	Normal Paper
email
last changed	2022/06/07 07:58

_id	caadria2014_014
id	caadria2014_014
authors	Zhong, Chen; Stefan Müller Arisona and Gerhard Schmitt
year	2014
title	A Visual Analytics Framework for Large Transportation Datasets
doi	https://doi.org/10.52842/conf.caadria.2014.223
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 223–232
summary	The advancement of sensor technologies makes it possible to collect large amounts of dynamic urban data. On the other hand, how to store, process, and analyze collected urban data to make them useful becomes a new challenge. To address this issue, this paper proposes a visual analytics framework, which is applied to transportation data to manage and extract information for urban studies. More specifically, the proposed framework has three components: (1) a geographic information system (GIS) based pipeline providing basic data processing functions; (2) a spatial network analysis that is integrated into the pipeline for extracting spatial structure of urban movement; (3) interactive operations allowing the user to explore and view the output data sets at different levels of details. Taking Singapore as a case study area, we use a sample data set from the automatic smart card fare collection system as an input to our prototype tool. The result shows the feasibility of proposed framework and analysis method. To summarize, our work shows the potential of geospatial based visual analytics tools in using ‘big’ data for urban analysis.
keywords	GIS; visual analytics; transportation data; flow map; spatial network analysis
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ascaad2014_004
id	ascaad2014_004
authors	Afsari, Kereshmeh; Matthew E. Swarts and T. Russell Gentry
year	2014
title	Integrated Generative Technique for Interactive Design of Brickworks
source	Digital Crafting [7th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2014 / ISBN 978-603-90142-5-6], Jeddah (Kingdom of Saudi Arabia), 31 March - 3 April 2014, pp. 49-64
summary	Bricks have been used in the construction industry as a building medium for millennia. Distinct patterns of bricks depict the unique aesthetic intentions found in Roman, Gothic and Islamic architecture. In contemporary practice, the use of digital tools in design has enabled methodologies for creating new forms in architecture. CAD and BIM systems provide new opportunities for designers to create parametric objects for building form generation. In masonry design, there exists an inherent contradiction between traditional patterns in brick design, which are formal and prescribed, and the potential for new patterns generated using design scripting. In addition, current tools do not provide interactive techniques for the design of brickwork patterns that can manage constant changes parametrically, to inform and influence design process, by providing design feedback on the constructive and structural aspects of the proposed brick pattern and geometry. This research looks into the parametric techniques that can be applied to create different kinds of patterns on brick walls. It discusses a methodology for an interactive brickwork design within generative techniques. By integrating data between two computational platforms – the first based on image analysis and the second on parametric modeling, we demonstrate a methodology and application that can generate interactive arbitrary patterns and map it to the brick wall in real-time.
series	ASCAAD
email
last changed	2016/02/15 13:09

_id	ecaade2014_055
id	ecaade2014_055
authors	Ahmet Emre Dincer, Gülen Cagdas and Hakan Tong
year	2014
title	A Digital Tool for Customized Mass Housing Design
doi	https://doi.org/10.52842/conf.ecaade.2014.1.201
source	Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 201-211
summary	Innovative design approaches are needed for mass housing implementations. Especially increasing interaction between user and designer is major important in the design decisions of these buildings. For this, it is seriously necessary to benefit from technological advances in computational designs, because digital tools like shape grammar, cellular automata, genetic algorithm, l-systems and agent-based models in this field provide not only to save time and to manage the relationships but also to generate many different alternatives. Accordingly, a digital support tool for designers has been developed by using cellular automata approach and scripts of 3Ds Max software. It produces samples of housing design plans which is generated by cellular automata approach according to the data of users' preferences. In this paper the interface and contributions of the developed model are introduced and discussed.
wos	WOS:000361384700020
keywords	Computational design; mass customization; innovative housing design; plugin
series	eCAADe
email
last changed	2022/06/07 07:54

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