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	caadria2016_013
id	caadria2016_013
authors	Aschwanden, Gideon D.P.A.
year	2016
title	Neighbourhood detection with analytical tools
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 13-22
doi	https://doi.org/10.52842/conf.caadria.2016.013
summary	The increasing population size of cities makes the urban fabric ever more complex and more disintegrated into smaller areas, called neighbourhoods. This project applies methods from geoscience and software engineering to the process of identification of those neighbourhoods. Neighbourhoods, by nature, are defined by connec- tivity, centrality and similarity. Transport and geospatial datasets are used to detect the characteristics of places. An unsupervised learning algorithm is then applied to sort places according to their characteris- tics and detect areas with similar make up: the neighbourhood. The at- tributes can be static like land use or space syntax attributes as well as dynamic like transportation patterns over the course of a day. An un- supervised learning algorithm called Self Organizing Map is applied to project this high dimensional space constituting of places and their attributes to a two dimensional space where proximity is similarity and patterns can be detected – the neighbourhoods. To summarize, the proposed approach yields interesting insights into the structure of the urban fabric generated by human movement, interactions and the built environment. The approach represents a quantitative approach to ur- ban analysis. It reveals that the city is not a polychotomy of neigh- bourhoods but that neighbourhoods overlap and don’t have a sharp edge.
keywords	Data analytics; urban; learning algorithms; neighbourhood delineation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia16_332
id	acadia16_332
authors	Retsin, Gilles; Garcia, Manuel Jimenez
year	2016
title	Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
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. 332-341
doi	https://doi.org/10.52842/conf.acadia.2016.332
summary	The research presented in this paper is part of a larger, emerging body of research into large-scale 3D printing. The research attempts to develop a computational design method specifically for large-scale 3D printing of architecture. Influenced by the concept of Digital Materials, this research is situated within a critical discussion of what fundamentally constitutes a digital object and process. This requires a holistic understanding, taking into account both computational design and fabrication. The intrinsic constraints of the fabrication process are used as opportunities and generative drivers in the design process. The paper argues that a design method specifically for 3D printing should revolve around the question of how to organize toolpaths for the continuous addition or layering of material. Two case-study projects advance discrete methods as efficient ways to compute a continuous printing process. In contrast to continuous models, discrete models allow users to serialize problems and errors in toolpaths. This allows a local optimization of the structure, avoiding the use of global, computationally expensive, problem-solving algorithms. Both projects make use of a voxel-based approach, where a design is generated directly from the combination of thousands of serialized toolpath fragments. The understanding that serially repeated elements can be assembled into highly complex and heterogeneous structures has implications stretching beyond 3D printing. This combinatorial approach for example also becomes highly valuable for construction systems based on modularity and prefabrication.
keywords	prgrammable materials, simulation and design optimization, digital fabrication, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	ecaade2016_166
id	ecaade2016_166
authors	Trento, Armando and Fioravanti, Antonio
year	2016
title	Human Behaviour Simulation to Enhance Workspace Wellbeing and Productivity - A BIM and Ontologies implementation path
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 315-325
doi	https://doi.org/10.52842/conf.ecaade.2016.2.315
wos	WOS:000402064400031
summary	Three-quarters of the production value are generated during activities that involve thinking, conducting relational and brainstorming activities. Most of the European office buildings today have been designed on more than fifty year old architectural and psychosocial concepts. To improve wellbeing and productivity, design innovation focuses on human's use-process, evolving individual workspace to flexible and specialized ones, according to the users tasks - activity-based. BIM supports sophisticated behaviors simulation such as energy, acoustics, although the state of the art, this paradigm is not able to manage space use-processes. Compared to current research on simulation systems, the proposed method links spaces to user's Behavioral Knowledge including formalization of Personality Typologies and profiled behavioral patterns. A hybrid approach for computational technique has been identified, combining (big) data-driven algorithm with ontology-based context reasoning, in order to achieve both, the best performance from intensive data-driven methods, and the finest adaptation for ontological context awareness (including unexplored context capabilities and objects adaptations).
keywords	Event Ontology; Design Knowledge Representation and Management; Human Behaviour, BIM
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ascaad2016_056
id	ascaad2016_056
authors	Dutt, Florina; Subhajit Das
year	2016
title	Geospatial Tool Evaluating Job Location Mismatch, Based on Available Workforce and Transit Options - Evaluating property location in a city using large-scale datasets
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 557-566
summary	The paper addresses the issue of spatial mismatch of jobs and the accessibility to job locations based on different age, income and industry group. Taking Atlanta as a case study, we developed a geospatial analysis tool enabling developers, the city planning bureau and the residents to identify potential sites of redevelopment with better economic development opportunities. It also aids to find potential location to live with respect to user’s choices for transit options, walkability, job location and proximity to chosen land use. We built our model on a block level in the city, imparting them a score, visualizing the data as a heat map. The metrics to compute the score included proximity to job, proximity to worker’s residence, transit availability, walkability and number of landmark elements near the site. We worked with Longitudinal Employer-Household Dynamics (LEHD) Data along with residence area characteristics (RAC) and work place area characteristic (WAC) data sets, where the total number of data-points was over 3 million. It was challenging for us to optimize computation such that the prototype performs statistical analysis and updates visualization in real time. The research further is prototyped as a web application leveraging Leaflet’s Open Street Maps API and D3 visualization plugin. The research showed that there is a high degree of spatial mismatch between home and job locations with very few jobs with driving distance within 5 -10 miles with limited transit options in Atlanta. Further, it showed that low-earning workers need to travel significantly larger distance for work compared to higher class.
series	ASCAAD
email
last changed	2017/05/25 13:34

_id	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 102-109
doi	https://doi.org/10.52842/conf.acadia.2017.102
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	ecaade2016_228
id	ecaade2016_228
authors	Balaban, Ozgun and Tuncer, Bige
year	2016
title	Visualizing Urban Sports Movement
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 89-94
doi	https://doi.org/10.52842/conf.ecaade.2016.2.089
wos	WOS:000402064400008
summary	In this study, a visualization tool that maps outdoor physical activity such as runs on a map by specifying time, location, activity, gender, age group, etc. is created. This tool reveals the usage patterns of streets within a city for outdoor physical activity. This tool is created within a larger research project that investigates the influence of streets on the leisure walking activity within cities. For this purpose, the tool is capable of presenting the collected multi-modal data that includes personal fitness data, weather data, spatial data, and crime data. Moreover, the tool creates new analysis capabilities such as displaying usage of streets by urban joggers. The research project in which this tool will be used is aimed for designers/planners to improve streets for 'runnability'.
keywords	Sports Activity; Big Data; Urban Visualization; Fitness Applications
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia16_432
id	acadia16_432
authors	Beaman, Michael Leighton
year	2016
title	Landscapes After The Bifurcation of Nature: Models for Speculative Landformations
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. 432-439
doi	https://doi.org/10.52842/conf.acadia.2016.432
summary	Landformations have not historically been the purview of design production or intervention. Whether it is the spatial extensions in which they emerge, the temporal extensions in which they operate, the complexities of their generative and sustaining processes, or a cultural and institutional deference to a notion of natural processes, designers as individuals or design as a discipline has not treated landformation as an area of design inquiry. But the inability to grasp nature fully has not stopped geological-scale manipulation by humans. In fact, anthropogenic activity is responsible for the re-formation of more of the Earth’s surface than all other agents combined. And yet as designers we often disregard this transformation as a design problem, precisely because it eludes the artifices of information visualization employed by designers. This paper examines ongoing research into the generation of speculative landformations through an analysis of underlying geological and anthropogenic processes as the quantitative basis for creating generative computational models (figure 1). The Speculative Landformations Project posits human geological-scale activity as a design problem by expanding the operability and agency of environmental design practice through hybrid human/digital computations.
keywords	design decision-making, simulation and design optimization, responsive urban and landscape systems, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	caadria2016_229
id	caadria2016_229
authors	Liu, Yuezhong; Rudi Stouffs, Abel Tablada, Nyuk Hien Wong and Ji Zhang
year	2016
title	Micro-scale weather data for energy performance assessment in Singapore
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 229-238
doi	https://doi.org/10.52842/conf.caadria.2016.229
summary	Weather data plays an important role for energy perfor- mance assessment in the design of buildings and urban environments. Many researches have been carried out to generate and analyse vari- ous weather files for different simulation platforms. However, investi- gations have been lacking in the development of weather files that ac- count for urban heat island (UHI) problems. As a result of global warming and the complexity of the urban environment, the weather file for a modern city cannot be simply based on climate information from 20 years ago. The objective of this research is to demonstrate a method for creating different micro-scale typical meteorological year (TMY) weather files based on different urban texture values. This re- search includes three steps: 1) Recent years weather data is obtained. 2) Considering the UHI impact, a series of new TMY weather files are generated for different micro-scale areas in Singapore based on rele- vant urban texture variables. 3) A comparison of the results shows that there is a big difference between the new and the old TMY. The tem- perature of the new TMY is 1-2°C higher, while the solar radiation is lower than the original TMY data. Hence the new weather files will be more credible than the original TMY for energy performance simula- tion in the design process.
keywords	TMY; UHI; Sandia method; energy performance
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia16_24
id	acadia16_24
authors	Savov, Anton; Buckton, Ben; Tessmann, Oliver
year	2016
title	20,000 Blocks: Can gameplay be used to guide non-expert groups in creating architecture?
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. 24-33
doi	https://doi.org/10.52842/conf.acadia.2016.024
summary	The paper follows research in engaging groups of non-trained individuals in the creation of architectural designs using games and crowdsourcing for human-directed problem-solving. With the proposed method, architectural experts can encode their design knowledge into custom-developed multiplayer gameplay in Minecraft. Non-expert players then are constrained by this gameplay which guides them to create unique architectural results. We describe a method with three components: guiding rules, verification routines and fast feedback. The method employs a real-time link between the game and structural analysis in Grasshopper to verify the designs. To prove the viability of these results, we use robotic fabrication, where the digital results are brought to reality at scale. A major finding of the work is the suite of tools for calibrating the balance of influence on the resulting designs between the Experts and the Players. We believe that this process can create designs which are not limited to parametrically optimal solutions but could also solve real-world problems in new and unexpected ways.
keywords	robot-human collaboration, digital fabrication, gaming in design, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	ecaade2016_147
id	ecaade2016_147
authors	Tamke, Martin, Zwierzycki, Mateusz, Evers, Henrik Leander, Ochmann, Sebastian, Vock, Richard and Wessel, Raoul
year	2016
title	Tracking Changes in Buildings over Time - Fully Automated Reconstruction and Difference Detection of 3d Scan and BIM files
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 643-651
doi	https://doi.org/10.52842/conf.ecaade.2016.2.643
wos	WOS:000402064400065
summary	Architectural and Engineering Communities are interested in the detection of differences between different representations of the same building. These can be the differences between the design and the as-built-state of a building, or the detection of changes that occur over time and that are documented by consecutive 3D scans. Current approaches for the detection of differences between 3D scans and 3D building models are however laborious and work only on the level of a building element. We demonstrate a novel highly automated workflow to detect differences between representations of the same building. We discuss the underlying tools and methods and the ways to communicate deviations and differences in an appropriate manner and evaluate our approach with a rich set of real world datasets.
keywords	3d scan; BIM; Machine learning; Point Clouds; Big Data
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia16_424
id	acadia16_424
authors	Twose, Simon; du Chatenier, Rosa
year	2016
title	Experimental Material Research - Digital Chocolate
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
doi	https://doi.org/10.52842/conf.acadia.2016.424
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	caadria2016_395
id	caadria2016_395
authors	Ugarte, J. P. and M. Leef
year	2016
title	Digital Geo-Plexus: Instagram as a tool for re-evaluating notions of proximity
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 395-404
doi	https://doi.org/10.52842/conf.caadria.2016.395
summary	The research presented in this paper describes the develop- ment of an Instagram-based multidimensional clustering algorithm. The algorithm analyses large datasets of Instagram images to establish new metrics that qualitatively assess proximity relations in a given geographical area —i.e. negotiates multiple acceptations of proximity. Influenced by Qualitative Spatial Reasoning, Lewis Mumford’s geo- graphic plexus and Kevin Lynch’s perceptual mapping, a graphic GUI-based application has been developed to produce real-time visu- alizations —maps, network graphs, and charts— by means of brows- ing, downloading and post-processing Instagram feeds. First, the ap- plication’s functioning will be described; second, several graphic visualizations will demonstrate the capabilities of the software; third, limitations and further development will be discussed.
keywords	Instagram; big data; social network
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia16_196
id	acadia16_196
authors	Yuan, Philip F.; Chai, Hua; Yan, Chao; Zhou, Jin Jiang
year	2016
title	Robotic Fabrication of Structural Performance-based Timber Gridshell in Large-Scale Building Scenario
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 196-205
doi	https://doi.org/10.52842/conf.acadia.2016.196
summary	This paper investigates the potential of a digital geometry system to integrate structural performance-based design and robotic fabrication in the scenario of building a large-scale non-uniform timber shell. It argues that a synthesis of multi-objective optimization, design and construction phases is required in the realization of timber shell construction in architecture practice in order to fulfill the demands of building regulation. Confronting the structural challenge of the non-uniform shell, a digital geometry system correlates all the three phases by translating geometrical information between them. First, a series of structural simulations and experimentations with different objectives are executed to inform the particular shape and tectonic details of each shell component based on its local condition in the geometrical system. Then, controlled by the geometrical system, a hybrid process of different digital fabrication technologies, including a customized robotic timber mill, is established to enable the manufacture of the heterogeneous shell components. Ultimately, the Timber Structure Enterprise Pavilion as the demonstration and evaluation of this method is fabricated and assembled on site through a notational system to indicate the applicability of this research in practical scenarios.
keywords	robotic fabrication, geometrical information modeling, simulation and design optimization, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	caadria2016_383
id	caadria2016_383
authors	Beorkrem, C.; J. Ellinger, P. Bernstein and A. Hauck
year	2016
title	Multivariate Schematic Design Tooling
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 383-394
doi	https://doi.org/10.52842/conf.caadria.2016.383
summary	This paper will examine the results from a research collaboration between (BIM Software Manufacturer) and (School), whose problem statement focused on supporting robust interoperability by defining goals focused on multivariate conceptual design tools. The collaboration included design faculty, students and software professionals, the latter providing access to a broad range of design simulation tools either commercially available or currently in development. The tools were developed first through case studies and background research, followed by the design and implementation of novel computational methods advancing the architectural design workflow by seeking to create comparative tools which allow a designer to connect multiple data typologies in a single model. With advanced computational tools employed both as standalone resources and embedded in parametric loops, we sought to provide immediate feedback on design goals.
keywords	Building information modelling; simulation and prediction; education; optimization; scripting
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2016_125
id	caadria2016_125
authors	Chen, I-Chih and June-Hao Hou
year	2016
title	Design with bamboo bend: Bridging natural material and computational design
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 125-133
doi	https://doi.org/10.52842/conf.caadria.2016.125
summary	Bamboo is a high potential alternative solution for substi- tuting industrial material with its natural characteristics, economical and environmental aspects. However, one of the biggest challenges for natural materials to be used in computational designed is the control- lability due to its unevenness nature. The other gap is the lack of ma- terial parameters that might be bridged by analysing data acquired from conventional tests. This research studied the raw bamboo strip and its natural forming from bending, by using sampling points and curvature reconstruction. The parametric models of bamboo strips were then constructed to represent its material behaviours for form prediction, material selection, and simulation in parametric design. It also serves as an assistive method for material selection when crafting with bamboo bend.
keywords	Bamboo; bending; material computation; digital crafting
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia16_206
id	acadia16_206
authors	Devadass, Pradeep; Dailami, Farid; Mollica, Zachary; Self, Martin
year	2016
title	Robotic Fabrication of Non-Standard Material
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
doi	https://doi.org/10.52842/conf.acadia.2016.x.g4f
summary	This paper illustrates a fabrication methodology through which the inherent form of large non-linear timber components was exploited in the Wood Chip Barn project by the students of Design + Make at the Architectural Association’s Hooke Park campus. Twenty distinct Y-shaped forks are employed with minimal machining in the construction of a structural truss for the building. Through this workflow, low-value branched sections of trees are transformed into complex and valuable building components using non-standard technologies. Computational techniques, including parametric algorithms and robotic fabrication methods, were used for execution of the project. The paper addresses the various challenges encountered while processing irregular material, as well as limitations of the robotic tools. Custom algorithms, codes, and post-processors were developed and integrated with existing software packages to compensate for drawbacks of industrial and parametric platforms. The project demonstrates and proves a new methodology for working with complex, large geometries which still results in a low cost, time- and quality-efficient process.
keywords	parametric design, craft in digital communication, digital fabrication, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	ecaade2016_126
id	ecaade2016_126
authors	Holzheu, Stefanie and Lee, Sang
year	2016
title	ColorTracker
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 209-216
doi	https://doi.org/10.52842/conf.ecaade.2016.2.209
wos	WOS:000402064400020
summary	With the work-in-progress research project ColorTracker we explore color as a formal design tool. This project-based paper describes a novel software application that processes color composition of a place and transcribes the data into three-dimensional geometries for architectural design. The research comprises two parallel trajectories: a theoretical survey and the software application design. The theoretical survey presents the historical background of color. The project-based research seeks to develop digital methods and techniques that analyze the color compositions of the environment. Subsequently the objective is a novel application software for smart mobile devices in order to demonstrate the potentials of examining the color composition and chromatic parameters of a given environment and how it can contribute to the design.
keywords	color; architecture; urbanism; tracking; form-generation
series	eCAADe
email
last changed	2022/06/07 07:50

_id	cf2017_111
id	cf2017_111
authors	Kepczynska-Walczak, Anetta; Pietrzak, Anna
year	2017
title	An Experimental Methodology for Urban Morphology Analysis
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 111.
summary	The paper presents results of a research conducted in 2015 and 2016 at Lodz University of Technology. It proposes a purpose and context fit approach towards the automation of urban data generation based on GIS tools and New Urbanism typologies. First, background studies of methods applied in urban morphology analysis are revealed. Form-Based Code planning, and subsequently Transect-Based Code are taken into account. Then, selected examples from literature are described and discussed. Finally, the research study is presented and the outcomes compared with more traditional methodology.
keywords	GIS, Urban morphology, Spatial analysis, Decision support systems, Urban design, Data analytics, Modelling and simulation
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ecaade2016_129
id	ecaade2016_129
authors	Pak, Burak and Aydemir, Zeynep
year	2016
title	Understanding the Verbal Concepts Appropriated by the Students in the Architectural Design Studio
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 387-394
doi	https://doi.org/10.52842/conf.ecaade.2016.1.387
wos	WOS:000402063700043
summary	The main aim of this study is to gain a better understanding of the role of verbal concepts in the architectural design processes of the students in a studio context. To serve this purpose, we carried out a 15-week studio in an urban architectural masters design studio at KU Leuven Faculty of Architecture. We observed the use of verbal concepts in time during this studio and analyzed the design processes of the students based on their self-report logs on the studio web platform. Based on these, we conducted a statistic analysis and a network mapping study. We found that early concepts provide a starting point for developing fully-fledged specialized design ideas. Furthermore, a higher number of links between concepts indicated their importance during the process. In addition, the data collection and research methods proved to be reliable for mapping the design process of the students as well as revealing the evolution of the ideas in the studio.
keywords	Design Studio; Concepts; Crowdsourcing; Web Platform; Self-reporting; Design Research
series	eCAADe
email
last changed	2022/06/07 08:00

_id	acadia16_62
id	acadia16_62
authors	Rusenova, Gergana; Dierichs, Karola; Baharlou, Ehsan; Menges, Achim
year	2016
title	Feedback- and Data-driven Design for Aggregate Architectures: Analyses of Data Collections for Physical and Numerical Prototypes of Designed Granular Materials
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.62-72
doi	https://doi.org/10.52842/conf.acadia.2016.062
summary	This project contributes to the investigations in the field of aggregate architectures by linking two research areas: the numerical simulation of aggregate formations, and a concept for an online-controlled pneumatic formwork system. This paper introduces a novel approach for constructing with designed particles based on a feedback process. The overall aim was to investigate the capacity of aggregates as an architectural material system, which create emergent spatial formations. Initially the particles´ micro-mechanical behavior and the fragile stability of the formations were analyzed using numerical simulations. Based on this, an online-controlled inflatable formwork system was developed. The formwork was designed to react to the actual stability state of an aggregate formation; for this, a statistical set of simulation data was gathered, which directly informed the physical system. This overall concept was proven and verified in a one-to-one scaled physical model. The methods developed within this research provide a first set of baselines for comparison between the behavior of simulated and physical designed granular materials.
keywords	simulations, designed particles, feedback-driven design, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

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