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	acadia18_108
id	acadia18_108
authors	Sanchez, Jose
year	2018
title	Platforms for Architecture: Imperatives and Opportunities of Designing Online Networks for Design
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 108-117
doi	https://doi.org/10.52842/conf.acadia.2018.108
summary	The rise of platforms such as Facebook, YouTube, and Uber, initially celebrated as part of a disruptive new era of the internet, has slowly been reassessed as a problematic and unregulated form of twenty-first-century info-capitalism that contributes to inequality, mistrust, and user polarization. The internet has become a place for content creation, not only consumption, and the content freely created by the network of users has defined a self-organizing system of ad-hoc audiences following echo chambers organized through artificial intelligence, which amplifies previously identified trends. While a large portion of the content created by users seems to be aimed at personal forms of entertainment, a few remarkable projects, such as Wikipedia, have allowed hundreds of users to contribute to a collective goal. While we can observe that the platform model has appeared in diverse disciplines, allowing the creation of content from news articles to music, we have not seen the emergence of a robust design platform intended to proliferate and advance the discipline of architecture. This paper makes the case that video game technology and its audiences have reached a state of technical capability that could allow for architectural platforms to emerge, one in which players could learn, create, and share architectural designs. Such a platform comes with a series of ethical imperatives, questions of value proposition, and liabilities, as well as a high potential to communicate and proliferate architectural knowledge and know-how. Common’hood, currently under development, will be used as a case study to engage the development of an ethical architectural platform that develops a proposition towards authorship, ownership, and collective engagement.
keywords	full paper, platforms, capitalism, network, video game, combinatorics, information theory, entropy, co-ops, platform cooperativism, privacy, encryption
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	caadria2018_245
id	caadria2018_245
authors	Chowdhury, Shuva and Schnabel, Marc Aurel
year	2018
title	An Algorithmic Methodology to Predict Urban Form - An Instrument for Urban Design
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 401-410
doi	https://doi.org/10.52842/conf.caadria.2018.2.401
summary	We question the recent practices of conventional and participatory urban design approaches and offer a middle approach by exploring computational design tools in the design system. On the one hand, the top-down urban planning approaches investigate urban form as a holistic matter which only can be calibrated by urban professionals. These approaches are not able to offer enough information to the end users to predict the urban form. On the other hand, the bottom-up urban design approaches cannot visualise predicted urban scenarios, and most often the design decisions stay as general assumptions. We developed and tested a parametric design platform combines both approaches where all the stakeholders can participate and visualise multiple urban scenarios in real-time feedback. Parametric design along with CIM modelling system has influenced urban designers for a new endeavour in urban design. This paper presents a methodology to generate and visualise urban form. We present a novel decision-making platform that combines city level and local neighbourhood data to aid participatory urban design decisions. The platform allows for stakeholder collaboration and engagement in complex urban design processes.
keywords	knowledge-based system; algorithmic methodology ; design decision tool; urban form;
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_292
id	ecaade2018_292
authors	Dennemark, Martin, Aicher, Andreas, Schneider, Sven and Hailu, Tesfaye
year	2018
title	Generative Hydrology Network Analysis - A parametric approach to water infrastructure based urban planning
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 327-334
doi	https://doi.org/10.52842/conf.ecaade.2018.2.327
summary	Urban water systems need to be dimensioned well to be economical and distribute water in a good quality to all consumers. Their pipe sizes are dependent on demand and location of consuming nodes. Within uncertain development of cities, planning sustainable hydraulic networks is challenging. This paper explores, how the definition of urban design parameters can be supported using parametric urban design models and computational water network analysis. For the latter we developed new components for Grasshopper based on the open accessible water analysis tool EPANET. In two example cases we demonstrate potential applications of this tool for water-sensitive planning of emerging cities to find optimal positions for water sources or pipe diameters. In subsequent research, this could be used to derive probability-based recommendations for the dimensioning of a water network within uncertain growth.
keywords	water infrastructure; urban planning; parametric design; uncertainty; emerging cities
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 156-165
doi	https://doi.org/10.52842/conf.acadia.2018.156
summary	With the development of information technology, the ideas of programming and mass calculation were introduced into the design field, resulting in the growth of computer- aided design. With the idea of designing by data, we began to manipulate data directly, and interpret data through design works. Machine Learning as a decision making tool has been widely used in many fields. It can be used to analyze large amounts of data and predict future changes. Generative Adversarial Network (GAN) is a model framework in machine learning. It’s specially designed to learn and generate output data with similar or identical characteristics. Pix2pixHD is a modified version of GAN that learns image data in pairs and generates new images based on the input. The author applied pix2pixHD in recognizing and generating architectural drawings, marking rooms with different colors and then generating apartment plans through two convolutional neural networks. Next, in order to understand how these networks work, the author analyzed their framework, and provided an explanation of the three working principles of the networks, convolution layer, residual network layer and deconvolution layer. Lastly, in order to visualize the networks in architectural drawings, the author derived data from different layer and different training epochs, and visualized the findings as gray scale images. It was found that the features of the architectural plan drawings have been gradually learned and stored as parameters in the networks. As the networks get deeper and the training epoch increases, the features in the graph become more concise and clearer. This phenomenon may be inspiring in understanding the designing behavior of humans.
keywords	full paper, design study, generative design, ai + machine learning, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	caadria2018_161
id	caadria2018_161
authors	Huang, Xiaoran, White, Marcus and Burry, Mark
year	2018
title	Design Globally, Immerse Locally - A Synthetic Design Approach by Integrating Agent Based Modelling with Virtual Reality
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. 473-482
doi	https://doi.org/10.52842/conf.caadria.2018.1.473
summary	The last three decades have witnessed the explosion of technology and its impact on the architecture discipline which has drastically changed the methods of design. New techniques such as Agent-based modeling (ABM) and Virtual Reality (VR) have been widely implemented in architectural and urban design domains, yet the potential integration between these two methods remains arguably unexploited. The investigation in this paper aims to probe the following questions: How can architects and urban designers be informed more comprehensively by melding ABM and VR techniques at the preliminary/conceptual design stage? Which platform is considered more appropriate to facilitate a user-friendly system and reduces the steep learning curve? And what are the potential benefits of this approach in architectural education, particularly for the design studio environment? With those questions, we proposed a prototype in Unity, a multi-platform development tool that originated from the game industry, to simulate and visualize pedestrian behaviors in urban environments with immersive design experience and tested it in a scenario-based case study. This approach has also been further tested in an architectural design studio, demonstrating its technical feasibility as well as the potential contributions to the pedagogy.
keywords	Agent based modelling; Virtual Reality; Urban Design
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaade2018_111
id	ecaade2018_111
authors	Khean, Nariddh, Fabbri, Alessandra and Haeusler, M. Hank
year	2018
title	Learning Machine Learning as an Architect, How to? - Presenting and evaluating a Grasshopper based platform to teach architecture students machine learning
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 95-102
doi	https://doi.org/10.52842/conf.ecaade.2018.1.095
summary	Machine learning algorithms have become widely embedded in many aspects of modern society. They have come to enhance systems, such as individualised marketing, social media services, and search engines. However, contrasting its growing ubiquity, the architectural industry has been comparatively resistant in its adoption; objectively one of the slowest industries to integrate with machine learning. Machine learning expertise can be separate from professionals in other fields; however, this separation can be a major hinderance in architecture, where interaction between the designer and the design facilitates the production of favourable outcomes. To bridge this knowledge gap, this research suggests that the solution lies with architectural education. Through the development of a novel educative framework, the research aims to teach architecture students how to implement machine learning. Exploration of student-centred pedagogical strategies was used to inform the conceptualisation of the educative module, which was subsequently implemented into an undergraduate computational design studio, and finally evaluated on its ability to effectively teach designers machine learning. The developed educative module represents a step towards greater technological adoption in the architecture industry.
keywords	Artificial Intelligence; Machine Learning; Neural Networks; Student-Centred Learning; Educative Framework
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_315
id	ecaade2018_315
authors	Koehler, Daniel, Abo Saleh, Sheghaf, Li, Hua, Ye, Chuwei, Zhou, Yaonaijia and Navasaityte, Rasa
year	2018
title	Mereologies - Combinatorial Design and the Description of Urban Form.
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 85-94
doi	https://doi.org/10.52842/conf.ecaade.2018.2.085
summary	This paper discusses the ability to apply machine learning to the combinatorial design-assembly at the scale of a building to urban form. Connecting the historical lines of discrete automata in computer science and formal studies in architecture this research contributes to the field of additive material assemblies, aggregative architecture and their possible upscaling to urban design. The following case studies are a preparation to apply deep-learning on the computational descriptions of urban form. Departing from the game Go as a testbed for the development of deep-learning applications, an equivalent platform can be designed for architectural assembly. By this, the form of a building is defined via the overlap between separate building parts. Building on part-relations, this research uses mereology as a term for a set of recursive assembly strategies, integrated into the design aspects of the building parts. The models developed by research by design are formally described and tested under a digital simulation environment. The shown case study shows the process of how to transform geometrical elements to architectural parts based merely on their compositional aspects either in horizontal or three-dimensional arrangements.
keywords	Urban Form; Discrete Automata ; Combinatorics; Part-Relations; Mereology; Aggregative Architecture
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_317
id	ecaade2018_317
authors	Kontovourkis, Odysseas and Doumanidis, Constantine C
year	2018
title	ICARUS Project - An Open Source Platform for Computer Programming in Architectural Teaching and Research
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 341-350
doi	https://doi.org/10.52842/conf.ecaade.2018.1.341
summary	This paper, presents an ongoing work entitled ICARUS, an abbreviation for 'Integrating Computerized ARchitecture with USers'. The aim of this work is to develop an open source platform for computer programming implemented in architecture, for teaching and research. In particular, the platform provides the framework for a simplified and user friendly textual programming methodology for the needs of our architectural institution. It consists of several modules like coding, plug-in and repository development, targeting to be publicly available in the future. The platform is created based on the Python programming language, which is run in Grasshopper, a plug-in for Rhino 3D. In the first phase of ICARUS development, several case studies within the framework of a postgraduate course are conducted, aiming at providing an overview of its potentials, limitations and generally, its impact on establishing a useful methodology for algorithmic thinking among students with little or no prior computer programming skills.
keywords	Computer programming; Open source platform; Parametric design; Plug-in development; Algorithmic thinking
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia18_46
id	acadia18_46
authors	Marcus, Adam; Kudless, Andrew
year	2018
title	Drawing Codes. Experimental protocols of architectural representation
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 46-55
doi	https://doi.org/10.52842/conf.acadia.2018.046
summary	Emerging technologies of design and production have largely changed the role of drawings within the contemporary design process from that of design generators to design products. As architectural design has shifted from an analog drawing-based paradigm to that of a computational model-based paradigm, the agency of the drawing as a critical and important form of design representation has greatly diminished. As our design tools have increasingly become computational and the production of our drawings have become predominantly automated, this paper examines the effects on the architectural discipline and attempts to catalog examples of how artists, designers, architects, and programmers have used rule-based techniques in the process of drawing as a critical act in their process. Furthermore, the paper presents the Drawing Codes project, an ongoing research and exhibition platform that critically investigates the intersection of code and drawing: how rules and constraints inform the ways architects document, analyze, represent, and design the built environment. The project features commissioned drawings by a range of contemporary architects and designers as a means of gathering a diverse set of perspectives on how computational techniques, but more importantly, computational thinking, can reexamine the role of architectural drawing as a creative and critical act.
keywords	full paper, design theory & history, representation + perception, procedural design, art and technology
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	ecaade2018_397
id	ecaade2018_397
authors	Stellingwerff, Martijn, Gordijn, Johannetta, Ouwerkerk, Udo and Kiela, Peter
year	2018
title	Improving the Online Design Education Experience
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 401-408
doi	https://doi.org/10.52842/conf.ecaade.2018.1.401
summary	Design education usually takes place in a studio setting, in which visual and spatial artefacts are produced, shared, improved, presented and commented. This specific setting comes with qualitative properties that allow for situated learning with object-oriented focus and interaction, combined with a rich collegial context in which ideas can flourish and certain values and ethics are cherished. Using our education platform for online learning, we noticed the lack of support for typical creative and social design studio aspects, while factual classroom education was well supported. This paper describes how we attempt to translate the qualities of the studio education setting into an online environment for design education. Our approach is not to build a Virtual Design Studio (VDS) from the bottom up, but instead, to build on top of our universities' online education platform of choice. The paper commences with a short description of design education in a studio setting. Then a number of basic principles of design studio education is applied to the development of two Massive Open Online Courses (MOOCs). In the last section we discuss the different setups and compare the online aspects with on campus design studio education.
keywords	Online design education; MOOC; Creative Learning Environment
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia18_186
id	acadia18_186
authors	Yin, Hao; Guo, Zhe; Zhao, Yao; Yuan, Philip F.
year	2018
title	Behavior Visualization System Based on UWB Positioning Technology
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 186-195
doi	https://doi.org/10.52842/conf.acadia.2018.186
summary	This paper takes behavioral performance as a starting point and uses ultra-wideband (UWB) positioning technology and visualization methods to accurately collect and present in-place behavioral data so as to explore the behavioral characteristics of space users. In this process, we learned the observation, quantification, and presentation of behavioral data from the evolution of behavioral research. Secondly, after a comparative analysis of four types of indoor positioning technologies, we selected UWB-positioning technology and the JavaScript programming language as the development tools for a behavior visualization system. Next, we independently developed the behavior visualization system, which required a deep understanding of the working principle of UWB technology and the visualization method of the JavaScript programming language. Finally, the system was applied to an actual space, collecting and presenting users’ behavioral characteristics and habits in order to verify the applicability of the system in the field of behavioral research.
keywords	full paper, design tools, ai + machine learning, big data, behavioral performance + simulation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	acadia18_196
id	acadia18_196
authors	Zhang, Yan; Grignard; Aubuchon, Alexander; Lyons, Keven; Larson, Kent
year	2018
title	Machine Learning for Real-time Urban Metrics and Design Recommendations
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 196-205
doi	https://doi.org/10.52842/conf.acadia.2018.196
summary	Cities are growing, becoming more complex, and changing rapidly. Currently, community engagement for urban decision-making is often ineffective, uninformed, and only occurs in projects’ later stages. To facilitate a more collaborative and evidence-based urban decision- making process for both experts and non-experts, real-time feedback and optimized suggestions are essential. However, most of the current tools for urban planning are neither capable of performing complex simulations in real time nor of providing guidance for better urban performance. CityMatrix was introduced to address these challenges. Machine learning techniques were applied to achieve real-time prediction of multiple urban simulations, and thousands of city configurations were simulated. The simulation results were used to train a convolutional neural network (CNN) to predict the traffic and solar performance of unseen city configurations. The prediction with the CNN is thousands of times faster than the original simulations and maintains a high-quality representation of the results. This machine learning approach was applied as a versatile, quick, accurate, and computationally efficient method not only for real-time feedback, but also for optimized design recommendations. Users involved in the evaluation of this project had a better understanding of the embodied trade-offs of the city and achieved their goals in an efficient manner.
keywords	full paper, optimization, collaboration, urban design & analysis, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	ecaade2018_296
id	ecaade2018_296
authors	Czyñska, Klara
year	2018
title	High Precision Visibility and Dominance Analysis of Tall Building in Cityscape - On a basis of Digital Surface Model
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 481-488
doi	https://doi.org/10.52842/conf.ecaade.2018.1.481
summary	The article presents a methodology applied for the assessment of the tall building visual impact on the city scape, using digital tools. The method has been used by the author in the planning practice in several cities in Poland. It enables to determine not only the visibility range of a planned tall building in the city spaces, but also the extent to which it dominates. Findings are presented in a map which reflects both parameters applicable to a given facility. Computation of findings is based on the model of a city consisting of a regular cloud of points (Digital Surface Model) of high quality and dedicated C++ software (developed in cooperation with author). The Visual Impact Size (VIS) method supports the process of conservation and landscaping, in particular in historical cities. It helps predicting spatial implications tall buildings may have. It may also be used for comprehensive development of a modern skyline with tall buildings as a harmonious component of the cityscape. The method is presented using the case study of the Hanza Tower building in Szczecin (Poland).
keywords	digital cityscape analysis; tall buildings; visual impact; Visual Impact Size method; viewshed; Hanza Tower in Szczecin
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_178
id	ecaade2018_178
authors	Kroc, Tomasz and Walczak, Bartosz M.
year	2018
title	GIS Technologies Implementation Based on The EU Directive Inspire - A case study of the Pabianice city
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 489-496
doi	https://doi.org/10.52842/conf.ecaade.2018.1.489
summary	This paper presents the experience of implementating GIS technologies at a county town urban planning department. The necessity to implement GIS technology is partly dictated by the requirements of the INSPIRE Directive. The discussed case provides valuable information about the problems and challenges that cities have in Poland, while performing their obligations under the directive. The process of preparing the necessary geographical database corresponding to existing planning documents raises many legal and technical problems. The presented case illustrates the whole process associated with the preparation of digitization and publication of urban plans. At the same time, it is worth to see the numerous benefits that the city obtains after publishing GIS data. Attention should also be paid to the further development of GIS and the chances of their use, especially in urban centers.
keywords	INSPIRE; GIS technologies implementation; urban planning; sharing geographic dates
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 773-780
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_172
id	ecaade2018_172
authors	Al-Douri, Firas
year	2018
title	The Employment of Digital Simulation in the Planning Departments in US Cities - How does it affect design and decision-making processes?
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 539-548
doi	https://doi.org/10.52842/conf.ecaade.2018.2.539
summary	The increased interactivity of digital simulation tools has offered a wide range of opportunities that may provoke a paradigmatic shift in urban design practice. Yet, research results did not provide any clear evidence that such shift seems to exist. Further studies are required to examine the methods and impact of their usage on decision-making and design outcome. To that goal, this research uses the single-case study design that has been pursued in three phases: literature review, online survey, and semi-structured interviews. The results have shown inadequacies, inconsistency, and ineffectiveness of usage of the tools that are most appropriate to the design activities of each phase and thus a limited impact on critical areas of the decision-making. The impact of the tools' usage is found to be correlated with not only the extent of their usage, but also with a variety of procedural and substantive factors such as the plan methodology, extent of tool's usage, choice of the appropriate tool, and planners' skills and capabilities in using those tools.
keywords	Urban Simulation ; Urban Design Practice
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_167
id	ecaade2018_167
authors	Anton, Ana and Abdelmahgoub, Ahmed
year	2018
title	Ceramic Components - Computational Design for Bespoke Robotic 3D Printing on Curved Support
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 71-78
doi	https://doi.org/10.52842/conf.ecaade.2018.2.071
summary	Additive manufacturing enables the fabrication of affordable customisation of construction elements. This paper presents a computational design method developed for 3D printing of unique interlocking ceramic components, which assemble into segmented columns. The fabrication method is ceramic-paste extrusion, robotically placed on semi-cylindrical molds. Material system and fabrication setup contribute to the development of an integrated generative system which includes overall design, assembly logic and printing tool-path. By contextualizing clay extrusion and identifying challenges in bespoke tool-path generation, this paper discusses detailing opportunities in digital fabrication. Finally, it identifies future directions of research in extrusion-based printing.
keywords	CAAD education; generative design; robotic 3D printing; clay extrusion; curved support
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia18_312
id	acadia18_312
authors	Ariza, Inés; Mirjan, Ammar; Gandia, Augusto; Casas, Gonzalo; Cros, Samuel; Gramazio, Fabio; Kohler, Matthias.
year	2018
title	In Place Detailing. Combining 3D printing and robotic assembly
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 312-321
doi	https://doi.org/10.52842/conf.acadia.2018.312
summary	This research presents a novel construction method that links robotic assembly and in place 3D printing. Rather than producing custom joints in a separate prefabrication process, our approach enables creating highly customized connection details that are 3D printed directly onto off-the-shelf building members during their assembly process. Challenging the current fashion of highly predetermined joints in digital construction, detailing in place offers an adaptive fabrication method, enabling the expressive tailoring of connection details addressing its specific architectural conditions. In the present research, the in place detailing strategy is explored through robotic wire arc additive manufacturing (WAAM), a metal 3D printing technique based on MIG welding. The robotic WAAM process coupled with localization and path-planning strategies allows a local control of the detail geometry enabling the fabrication of customized welded connections that can compensate material and construction tolerances. The paper outlines the potential of 3D printing in place details, describes methods and techniques to realize them and shows experimental results that validate the approach.
keywords	work in progress, fabrication & robotics, robotic production, materials/adaptive systems, architectural detailing
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_219
id	ecaade2018_219
authors	Bai, Nan, Ye, Wenqia, Li, Jianan, Ding, Huichao, Pienaru, Meram-Irina and Bunschoten, Raoul
year	2018
title	Customised Collaborative Urban Design - A Collective User-based Urban Information System through Gaming
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 419-428
doi	https://doi.org/10.52842/conf.ecaade.2018.1.419
summary	As we step into a new data-based information age, it is important to get citizens involved in the whole design process. Our research tries to build up a user-based urban information system by collecting the data of neighborhood land use preference from all the residents through gaming. The result of each individual decision will be displayed in real time using Augmented Reality technology, while the collective decision dataset will be stored, analyzed and learnt by computer, forming an optimal layout that meets the highest demand of the community. A pre-experiment has been conducted in a. an abstract virtual site and b. an existing site by collecting opinions from 122 participants, which shows that the system works well as a new method for collaborative design. This system has the potential to be applied both in realistic planning processes, as a negotiation toolkit, and in virtual urban forming, in the case of computer games or space colonization.
keywords	Collaborative Design; Customization; Urban Design; Gaming; Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia18_176
id	acadia18_176
authors	Bidgoli, Ardavan; Veloso,Pedro
year	2018
title	DeepCloud. The Application of a Data-driven, Generative Model in Design
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 176-185
doi	https://doi.org/10.52842/conf.acadia.2018.176
summary	Generative systems have a significant potential to synthesize innovative design alternatives. Still, most of the common systems that have been adopted in design require the designer to explicitly define the specifications of the procedures and in some cases the design space. In contrast, a generative system could potentially learn both aspects through processing a database of existing solutions without the supervision of the designer. To explore this possibility, we review recent advancements of generative models in machine learning and current applications of learning techniques in design. Then, we describe the development of a data-driven generative system titled DeepCloud. It combines an autoencoder architecture for point clouds with a web-based interface and analog input devices to provide an intuitive experience for data-driven generation of design alternatives. We delineate the implementation of two prototypes of DeepCloud, their contributions, and potentials for generative design.
keywords	full paper, design tools software computing + gaming, ai & machine learning, generative design, autoencoders
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

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