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	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‚Äôs 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‚Äôs 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; ‚Ä¢ Can help in the design process by providing site-specific insight through deeper understanding of urban data. ‚Ä¢ Can produce results that can assist architects and urban planners at design, policy and strategy levels. ‚Ä¢ 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	c38b
authors	Kunz, J.C., Christiansen, T.R., Cohen, G.P., Jin, Y. and Levitt, R.E.
year	1998
title	The Virtual Design Team
source	Communications of The ACM, Vol. 41, No. 11, November, 1998
summary	The long range goal of the Virtual Design Team" (VDT) research program is to develop computational tools to analyze decision making and communication behavior and thereby to support true organizational (re)engineering. This article introduces the underlying theory, the implementation of the theory as a computational model, and results from industrial test cases. Organization theory traditionally describes organizations only at an aggregate-level, describing and predicting the behavior of entire organizations in terms of general qualitative predictions. We define and implement a "micro" theory of the structure and behavior of components of organizations, explicitly representing activities, groups of people called "actors," and organizational structure and policies for project teams. A VDT model can be "run" by a discrete event simulation. Emergent aggregate model output behaviors include the predicted time to complete a project, the total effort to do the project, and a measure of process quality. More detailed model behaviors include the time-varying backlog of individual actors and the "exceptions" associated with activities. The results are detailed and specific, so they can guide specific managerial interventions in a project team and can support sensitivity studies of the relative impact of different organizational changes. We conclude that such a theory is tractable and predictive for complex but relatively routine, project-oriented design tasks. The application for which VDT offers unique new kinds of insights is where an organization is striving to shrink time to market dramatically for a product that is similar to ones it has previously developed. Reducing time to market dramatically almost always requires that previously sequential activities are executed more concurrently. In this situation, experienced managers can still correctly identify the required activities and estimate their durations and skill requirements; but they almost always underestimate the increased workload arising from exponentially higher coordination needs and the propagation of rework between the now highly concurrent activities. The VDT framework, which explicitly models information dependency and failure propagation between concurrent activities, has proven to be far more accurate, and to incorporate a wider range of parameters, than CPM/PERT process models for these fast-paced development projects."
series	journal paper
last changed	2003/04/23 15:50

_id	acadia21_530
id	acadia21_530
authors	Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year	2021
title	Robotic Timber Construction
doi	https://doi.org/10.52842/conf.acadia.2021.530
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by S. Parascho, J. Scott, and K. Dörfler. 530-537.
summary	Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	ecaade2022_234
id	ecaade2022_234
authors	Afsar, Secil, Estévez, Alberto T., Abdallah, Yomna K., Turhan, Gozde Damla, Ozel, Berfin and Doyuran, Aslihan
year	2022
title	Activating Co-Creation Methodologies of 3D Printing with Biocomposites Developed from Local Organic Wastes
doi	https://doi.org/10.52842/conf.ecaade.2022.1.215
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 215–224
summary	Compared to the take-make-waste-oriented linear economy model, the circular model has been studied since the 1980s. Due to consumption-oriented lifestyles along with having a tendency of considering waste materials as trash, studies on sustainable materials management (SMM) have remained at a theoretical level or created temporary and limited impacts. To ensure SMM supports The European Green Deal, there is a necessity of developing top-down and bottom-up strategies simultaneously, which can be metaphorized as digging a tunnel from two different directions to meet in the middle of a mountain. In parallel with the New European Bauhaus concept, this research aims to create a case study for boosting bottom-up and data-driven methodologies to produce short-loop products made of bio-based biocomposite materials from local food & organic wastes. The Architecture departments of two universities from different countries collaborated to practice these design democratization methodologies using data transfer paths. The 3D printable models, firmware code, and detailed explanation of working with a customized 3D printer paste extruder were shared using online tools. Accordingly, the bio-based biocomposite recipe from eggshell, xanthan gum, and citric acid, which can be provided from local shops, food & organic wastes, was investigated concurrently to enhance its printability feature for generating interior design elements such as a vase or vertical gardening unit. While sharing each step from open-source platforms with adding snapshots and videos allows further development between two universities, it also makes room for other researchers/makers/designers to replicate the process/product. By combining modern manufacturing and traditional crafting methods with materials produced with DIY techniques from local resources, and using global data transfer platforms to transfer data instead of products themselves, this research seeks to unlock the value of co-creative design practices for SMM.
keywords	Sustainable Materials Management, Co-Creation, Food Waste, 3D Printing, New European Bauhaus
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2011_021
id	ecaade2011_021
authors	Asanowicz, Aleksander
year	2011
title	Digital “serial vision” - new approach in urban composition teaching
doi	https://doi.org/10.52842/conf.ecaade.2011.716
source	RESPECTING FRAGILE PLACES [29th eCAADe Conference Proceedings / ISBN 978-9-4912070-1-3], University of Ljubljana, Faculty of Architecture (Slovenia) 21-24 September 2011, pp.716-724
summary	The paper discusses the following problem: How can digital technology are integrated with urban composition teaching to provide a better understanding of the aesthetical and emotional aspects of the city? It argues for the current need for an integration of computer modelling and the approaches developed form the work of K. Lynch, G. Cullen, R. Krier, F. Ching. The paper is based on the experience in design studio teaching and an experiment completed with students. The exercise shows the students that different spatial organization may cause different emotions according to the treatment of space-defining elements. The paper presents the background and context as well as describes the experimental environment and the student work.
wos	WOS:000335665500083
keywords	Urban composition; serial vision; computer animation
series	eCAADe
email
last changed	2022/05/01 23:21

_id	ecaade2023_421
id	ecaade2023_421
authors	Aydin, Serdar, ªik, Büºra, Yörük, Merve ªule and Aktaº, Begüm
year	2023
title	Assessment of Correlative Digital Drawing Features in the Design Processes of Unstructured Creativity
doi	https://doi.org/10.52842/conf.ecaade.2023.1.231
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 231–240
summary	This research critically challenges the conventional perception of drawings as mere technical blueprints and delves into the intricate integration of design ideation, abstraction, and speculation with geometrical manipulations and semantic labelling. By focusing on unconventional architectural design studio experiments at the undergraduate level, the study aims to explore the role of creativity in speculative drawing. It adopts a 3- dimensional design thinking process that transcends the rigid constraints of traditional drawings and embraces the fluidity of representational norms. Furthermore, the paper elucidates on the pedagogical aspects of the design studio, including the unstructured creativity inherent in the design process. The methodology employed in this study is exemplified through different stages of the design studio, incorporating a variety of representations such as 2D, 2.5D, and 3D,encompassing scalar, geometric, and material transfigurations. To assess the outcomes of the studio, the research utilises correlation diagrams that establish connections between digital drawing features at different stages and the unstructured creativity manifested in the final design. These scatter and correlation diagrams capture the syntactic relationships between the objects within digital drawings. The findings of this study reveals insight on the nuanced interplay between intuitive, reflective, and retrospective aspects of unstructured creativity during the design ideation process. By unraveling the intricate role of digital design tools and methods this research contributes to a deeper understanding of of how design ideation is generated and manifested through the dynamic interplay of the modulating compounds of drawing objects. It highlights the significance of meaningful, conceptual, and speculative representations that directly relate to the creation of buildable forms and architectural spaces. Through its critical insights, this study paves the way for advancements in the field of CAAD and offers valuable perspective for architectural education and practice.
keywords	Digital design, Correlation, Intuitive Design, Speculative Architectural Drawing
series	eCAADe
email
last changed	2023/12/10 10:49

_id	44b1
authors	Balas, Egon
year	1984
title	On the Facial Structure of Scheduling Polyhedra
source	49 p., 6 p. of appendix : ill. Pittsburgh, PA: Design Research Center, Carnegie Mellon Univ., December, 1984. includes bibliography
summary	A well-known job shop scheduling problem can be formulated as follows. Given a graph G with node set N and with directed and undirected arcs, find an orientation of the undirected arcs that minimizes the length of a longest path in G. The author treats the problem as a disjunctive program, without recourse to integer variables, and give a partial characterization of the scheduling polyhedron P(N), i.e., the convex hull of feasible schedules. In particular, he derives all the facets inducing inequalities for the scheduling polyhedron P(K) defined on some clique with node set K, and gives a sufficient condition for such inequalities to also induce facets of P(N). One of our results is that any inequality that induces a facet of P(H) for some HCK, also induces a facet of P(K). Another one is a recursive formula for deriving a facet inducing inequality with p positive coefficients from one with p-1 positive coefficients. The author also addresses the constraint identification problem, and gives a procedure for finding an inequality that cuts off a given solution to a subset of the constraints
keywords	polyhedra, graphs, optimization, convex hull
series	CADline
last changed	1999/02/12 15:07

_id	ecaade2020_418
id	ecaade2020_418
authors	Barczik, Günter and Königstein, Gesa
year	2020
title	Immediacy, Tools and Topography - Towards overcoming the digital divide between designers and developers
doi	https://doi.org/10.52842/conf.ecaade.2020.1.709
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 709-715
summary	We introduce direct, versatile and almost tactile techniques for designing topographies and density distributions in architecture and landscape architecture through a sequence of digital 2D drawing and 3D modeling tools. We situate these techniques within the broader context of the growing digital divide between designers and developers of design tools. We explain, demonstrate and discuss:(i) the relevance of the techniques in design tasks, (ii) advantages of our tool sequences, (iii) the functionality of the tools, their hitherto underused connection and their sequential use. We reason that hitherto, accessibility of design tools (or simplicity of input and handling) has been much less developed than their performance (or complexity of output and variability) and call on developers to remedy this.
keywords	Landscape Architecture; Topography Design; Design Tools
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia20_74
id	acadia20_74
authors	Bucklin, Oliver; Born, Larissa; Körner, Axel; Suzuki, Seiichi; Vasey, Lauren; T. Gresser, Götz; Knippers, Jan; Menges,
year	2020
title	Embedded Sensing and Control
doi	https://doi.org/10.52842/conf.acadia.2020.1.074
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 74-83.
summary	This paper investigates an interactive and adaptive control system for kinetic architectural applications with a distributed sensing and actuation network to control modular fiber-reinforced composite components. The aim of the project was to control the actuation of a foldable lightweight structure to generate programmatic changes. A server parses input commands and geometric feedback from embedded sensors and online data to drive physical actuation and generate a digital twin for real-time monitoring. Physical components are origami-like folding plates of glass and carbon-fiber-reinforced plastic, developed in parallel research. Accelerometer data is analyzed to determine component geometry. A component controller drives actuators to maintain or move towards desired positions. Touch sensors embedded within the material allow direct control, and an online user interface provides high-level kinematic goals to the system. A hierarchical control system parses various inputs and determines actuation based on safety protocols and prioritization algorithms. Development includes hardware and software to enable modular expansion. This research demonstrates strategies for embedded networks in interactive kinematic structures and opens the door for deeper investigations such as artificial intelligence in control algorithms, material computation, as well as real-time modeling and simulation of structural systems.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	b4d2
authors	Caldas, Luisa G. and Norford, Leslie K.
year	1999
title	A Genetic Algorithm Tool for Design Optimization
doi	https://doi.org/10.52842/conf.acadia.1999.260
source	Media and Design Process [ACADIA ‘99 / ISBN 1-880250-08-X] Salt Lake City 29-31 October 1999, pp. 260-271
summary	Much interest has been recently devoted to generative processes in design. Advances in computational tools for design applications, coupled with techniques from the field of artificial intelligence, have lead to new possibilities in the way computers can inform and actively interact with the design process. In this paper we use the concepts of generative and goal-oriented design to propose a computer tool that can help the designer to generate and evaluate certain aspects of a solution towards an optimized behavior of the final configuration. This work focuses mostly on those aspects related to the environmental performance of the building. Genetic Algorithms are applied as a generative and search procedure to look for optimized design solutions in terms of thermal and lighting performance in a building. The Genetic Algorithm (GA) is first used to generate possible design solutions, which are then evaluated in terms of lighting and thermal behavior using a detailed thermal analysis program (DOE2.1E). The results from the simulations are subsequently used to further guide the GA search towards finding low-energy solutions to the problem under study. Solutions can be visualized using an AutoLisp routine. The specific problem addressed in this study is the placing and sizing of windows in an office building. The same method is applicable to a wide range of design problems like the choice of construction materials, design of shading elements, or sizing of lighting and mechanical systems for buildings.
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ijac20031402
id	ijac20031402
authors	Caldas, Luisa G.; Norford, Leslie K.
year	2003
title	Shape Generation Using Pareto Genetic Algorithms: Integrating Conflicting Design Objectives in Low-Energy Architecture
source	International Journal of Architectural Computing vol. 1 - no. 4
summary	The Generative Design System [GDS] presented in this paper was developed to assist designers in researching low-energy architecture solutions. The GDS has the capability to evolve architectural forms that are energy-efficient, while complying to design intentions expressed by the architect and responding to conflicting objectives. To achieve this evolutionary development, the system integrates a search and optimization method [Genetic Algorithm], building energy simulation software [DOE2.1E], and Pareto multicriteria optimization techniques. The GDS adaptively generates populations of alternative solutions, from an initial schematic layout and a set of rules and constraints designed by the architect to encode design intentions. The two conflicting objective functions considered in this paper are maximizing daylighting use and minimizing energy consumption for conditioning the building. The GDS generated an uniformly sampled, continuous Pareto front, from which six points were visualized in terms of the proposed architectural solutions.
series	journal
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	acadia21_160
id	acadia21_160
authors	Cao, Shicong; Zheng, Hao
year	2021
title	A POI-Based Machine Learning Method in Predicting Health
doi	https://doi.org/10.52842/conf.acadia.2021.160
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 160-169.
summary	This research aims to explore the quantitative relationship between urban planning decisions and the health status of residents. By modeling the Point of Interest (POI) data and the geographic distribution of health-related outcomes, the research explores the critical factors in urban planning that could influence the health status of residents. It also informs decision-making regarding a healthier built environment and opens up possibilities for other data-driven methods. The data source constitutes two data sets, the POI data from OpenStreetMap, and the PLACES: Local Data for Better Health dataset from CDC. After the data is collected and joined spatially, a machine learning method is used to select the most critical urban features in predicting the health outcomes of residents. Several machine learning models are trained and compared. With the chosen model, the prediction is evaluated on the test dataset and mapped geographically. The relations between factors are explored and interpreted. Finally, to understand the implications for urban design, the impact of modified POI data on the prediction of residents' health status is calculated and compared. This research proves the possibility of predicting resident's health from urban conditions with machine learning methods. The result verifies existing healthy urban design theories from a different perspective. This approach shows vast potential that data could in future assist decision-making to achieve a healthier built environment.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2015_55
id	ecaade2015_55
authors	Chen, KianWee; Janssen, Patrick and Schlueter, Arno
year	2015
title	Analysing Populations of Design Variants Using Clustering and Archetypal Analysis
doi	https://doi.org/10.52842/conf.ecaade.2015.1.251
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 251-260
summary	In order to support exploration in the early stages of the design process, researchers have proposed the use of population-based multi-objective optimisation algorithms. This paper focuses on analysing the resulting population of design variants in order to gain insights into the relationship between architectural features and design performance. The proposed analysis method uses a combination of k-means clustering and Archetypal Analysis in order to partition the population of design variants into clusters and then to extract exemplars for each cluster. The results of the analysis are then visualised as a set of charts and as design models. A demonstration of the method is presented that explores how self-shading geometry, envelope materials, and window area affect the overall performance of a simplified building type. The demonstration shows that although it is possible to derive general knowledge linking architectural features to design performance, the process is still not straightforward. The paper ends with a discussion on how the method can be further improved.
wos	WOS:000372317300027
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=09a711e6-70f5-11e5-af69-2b8082624d42
last changed	2022/06/07 07:55

_id	caadria2018_181
id	caadria2018_181
authors	Chun, Junho, Lee, Juhun and Park, Daekwon
year	2018
title	TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
doi	https://doi.org/10.52842/conf.caadria.2018.1.205
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 205-214
summary	Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords	Topology optimization; parametric design; 3d printing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2024_359
id	ecaade2024_359
authors	Cigáník, Ondøej; Sviták, Daniel; Sýsová, Kateøina; Tsikoliya, Shota; Vaško, Imrich
year	2024
title	Strengthened Shells: Possibilities of conformal printing on curved surfaces in large scale 3D printing
doi	https://doi.org/10.52842/conf.ecaade.2024.1.009
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 1, pp. 9–16
summary	This paper investigates the potential impact of conformal filament layering on various 3D printed structures with the aim of enhancing or altering their properties. Currently, large scale 3D printed objects predominantly utilize vase-mode style prints, occasionally featuring more intricate internal structures resembling FDM infill patterns, yet typically produced in a single continuous extrusion, resulting in a single perimeter wall thickness. This research seeks to explore the advantages of layering additional material onto the outer perimeter of a print, leveraging the capabilities of 6-axis robots and conformal printing techniques. To empirically assess the efficacy of this technique, an experiment is designed involving the fabrication of a consistent one-layer domed shell on a supportive form, onto which additional layers, oriented differently and featuring various patterns, are subsequently applied. The resultant samples are subjected to tests measuring both their strength and visual attributes, generating data for further analysis and application.
keywords	Additive Manufacturing, Robotic Fabrication, Conformal Printing, Non-planar, Recycled Material, Material Characteristics
series	eCAADe
email
last changed	2024/11/17 22:05

_id	1229
authors	Donath, D., Beetz, N., Grether, K., Kruijff, E., Petzold, F. and Seichter, H.
year	2001
title	Cooling Factory, a concrete project to test new architectural applications for augmented reality
source	Venetia Giagourta, Michael G. Strintzis (ed.): International Conference on Augmented, Virtual Environments and Three-Dimensional Imaging, Verlag Myconos, pp. 14-17
summary	This paper will discuss possible fields of applications of AR/VR for revitalization of buildings from a user's perspective. Considerations are based on the real-world project "Cooling factory Gera". The project is founded by "Deutsche Forschungsgesellschaft (DFG)".
series	other
email
last changed	2003/02/26 18:58

_id	ddss9426
id	ddss9426
authors	Duijvestein, Kees
year	1994
title	Integrated Design and Sustainable Building
source	Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary	In the international student-project "European Environmental Campus 91 TU Delft Dordrecht" 20 students from 13 European countries worked in september 1991, during three weeks on "EcologicalSketches for the Island of Dordrecht". They worked on four different scales: the region isle of Dordt / the district Stadspolders / the neighbourhood I the house and the block. The environmentaltheme's Energy, Water, Traffic & Noise, Landscape & Soil were together with spatial analyses combined with the different scales. This combination was organised following the scheme mentioned below. The characters stand for the students. During the first period they worked in research groups, during the last period more in design groups. For instance: student L works in the beginning with the students B, G and Q in the research group water. In the last period sheworks with K, M, N and 0 in the design group Neighbourhood. Those students worked earlier in the other research-groups and contribute now in the design-group their thematic environmental knowledge. The results were presented to the Dordrecht council, officials and press. In the next project in september and october 1993 we started earlier with the design groups. Ten Dutch and ten "Erasmus" students worked for six weeks on proposals for the Vinex location Wateringenthe Hague. Each morning they worked in the research groups each afternoon in the design groups. The research groups used the EcoDesign Tools, small applications in Excel on Apple Macintoshto quantify the environmental pressure.
series	DDSS
last changed	2003/08/07 16:36

_id	ecaadesigradi2019_641
id	ecaadesigradi2019_641
authors	Dunn, Kate, Haeusler, M. Hank, Zavoleas, Yannis, Bishop, Mel, Dafforn, Katherine, Sedano, Francisco, Yu, Daniel and Schaefer, Nina
year	2019
title	Recycled Sustainable 3D Printing Materials for Marine Environments
doi	https://doi.org/10.52842/conf.ecaade.2019.2.583
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 583-592
summary	The paper discusses the design and testing of sustainable recycled materials for large scale 3D printed construction in a marine context. This research is part of a 3-phase project involving a multidisciplinary team of designers, architects, material specialists and marine ecologists. The Bio Shelters Project uses an innovative approach to designing and fabricating marine bio-shelters that ecologically enhance seawalls, by promoting native biodiversity and providing seawater filtration, carbon sequestration and fisheries productivity. The design of the 3D print structure is a data-driven approach that incorporates ecological data to optimise the form for growth and survivorship of marine species under the environmental conditions of the installation site as well as being an integral part of the design project and the site.
keywords	3D printing; material research; sustainability; marine biology
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_475
id	ecaadesigradi2019_475
authors	Düring, Serjoscha, Sluka, Andrej, Vesely, Ondrej and König, Reinhard
year	2019
title	Applied Spatial Accessibility Analysis for Urban Design - An integrated graph-gravity model implemented in Grasshopper
doi	https://doi.org/10.52842/conf.ecaade.2019.3.333
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 333-342
summary	This paper introduces a prototype for a user-friendly, responsive toolbox for spatial accessibility analysis in data-poor environments to support urban design processes. It allows for real-time computation of several evaluation indicators, mostly focused on accessibility related measures. The proposed framework is exemplified with three real-world case studies. Each of them demonstrates one part of the workflow; data gathering and preparation, sketching and developing scenarios, and impact analysis and scenario comparison.
keywords	accessibility; urban design; evidence-based design; graph model; gravity model
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	26de
authors	Enderle, G., K. Kansy and Pfaff, G.
year	1984
title	Computer Graphics Programming : GKS - the graphics standard
source	542 p. : ill. (some col.) Berlin: Springer-Verlag, 1984. includes bibliography: p. 527-532 and index. -- (Symbolic Computation Series)
summary	Covers computer graphics programming on the basis of the Graphical Kernel System. It gives an overview over the GKS concepts, the history of the GKS design and the various system interfaces. A detailed description of the application of GKS functions both in PASCAL and FORTRAN is a significant part
keywords	standards, computer graphics, GKS, programming
series	CADline
last changed	2003/06/02 10:24

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