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	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	ijac201816403
id	ijac201816403
authors	Pantazis, Evangelos and David Gerber
year	2018
title	A framework for generating and evaluating façade designs using a multi-agent system approach
source	International Journal of Architectural Computing vol. 16 - no. 4, 248-270
summary	Digital design paradigms in architecture have been rooted in representational models which are geometry centered and therefore fail to capture building complexity holistically. Due to a lack of computational design methodologies, existing digital design workflows do little in predicting design performance in the early design stage and in most cases analysis and design optimization are done after a design is fixed. This work proposes a new computational design methodology, intended for use in the area of conceptual design of building design. The proposed methodology is implemented into a multi-agent system design toolkit which facilitates the generation of design alternatives using stochastic algorithms and their evaluation using multiple environmental performance metrics. The method allows the user to probabilistically explore the solution space by modeling the design parameters’ architectural design components (i.e. façade panel) into modular programming blocks (agents) which interact in a bottom-up fashion. Different problem requirements (i.e. level of daylight inside a space, openings) described into agents’ behavior allow for the coupling of data from different engineering fields (environmental design, structural design) into the a priori formation of architectural geometry. In the presented design experiment, a façade panel is modeled into an agent-based fashion and the multi-agent system toolkit is used to generate and evolve alternative façade panel configurations based on environmental parameters (daylight, energy consumption). The designer can develop the façade panel geometry, design behaviors, and performance criteria to evaluate the design alternatives. The toolkit relies on modular and functionally specific programming modules (agents), which provide a platform for façade design exploration by combining existing three-dimensional modeling and analysis software.
keywords	Generative design, multi-agent systems, façade design, agent-based modeling, stochastic search
series	journal
email
last changed	2019/08/07 14:04

_id	ecaade2018_279
id	ecaade2018_279
authors	Wortmann, Thomas, Akbar, Zuardin and Schroepfer, Thomas
year	2018
title	Surveying Fitness Landscapes with Performance Explorer - Supporting the Design of a Better Tomorrow with Interactive Visualizations
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. 621-630
doi	https://doi.org/10.52842/conf.ecaade.2018.1.621
summary	Increasing applications of parametric design and performance simulations by architectural designers present opportunities to design more resource- and energy-efficient buildings via simulation-based optimization. But Architectural Design Optimization (ADO) is less widespread that one might expect, due to, among other challenges, the problematic integration of optimization with architectural design. This problematic integration stems from a contrast between "wicked" or "co-evolving" architectural design problems and optimization problems. To mitigate the contrast between architectural and optimization problems, this paper presents Performance Explorer, an interactive, visual tool for performance-informed design space exploration (DSE). Performance-informed DSE emphasizes selection, refinement, and understanding over finding highest-performing design candidates. Performance Explorer allows interactive DSE via a visualization of a fitness landscape, with real-time feedback provided with a surrogate model. Performance Explorer is evaluated through a user test with thirty participants and emerges as more supportive and enjoyable to use than manual search and/or optimization.
keywords	Architectural Design Optimization; Performance-informed Design; Interactive Visualization; Design Tool
series	eCAADe
email
last changed	2022/06/07 07:57

_id	lasg_whitepapers_2019_063
id	lasg_whitepapers_2019_063
authors	Börner, Katy; and Andreas Bueckle
year	2019
title	Envisioning Intelligent Interactive Systems; Data Visualizations for Sentient Architecture
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.063 - 088
summary	This paper presents data visualizations of an intelligent environment that were designed to serve the needs of two stakeholder groups: visitors wanting to understand how that environment operates, and developers interested in optimizing it. The visualizations presented here were designed for [Amatria], a sentient sculpture built by the Living Architecture Systems Group (LASG) at Indiana University Bloomington, IN, USA, in the spring of 2018. They are the result of an extended collaboration between LASG and the Cyberinfrastructure for Network Science Center (CNS) at Indiana University. We introduce [Amatria], review related work on the visualization of smart environments and sentient architectures, and explain how the Data Visualization Literacy Framework (DVL-FW) can be used to develop visualizations of intelligent interactive systems (IIS) for these two stakeholder groups.
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_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
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
doi	https://doi.org/10.52842/conf.caadria.2018.1.205
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	ecaade2018_399
id	ecaade2018_399
authors	Cutellic, Pierre
year	2018
title	UCHRON - An Event-Based Generative Design Software Implementing Fast Discriminative Cognitive Responses from Visual ERP BCI
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. 131-138
doi	https://doi.org/10.52842/conf.ecaade.2018.2.131
summary	This research aims at investigating BCI technologies in the broad scope of CAAD applications exploiting early visual cognition in computational design. More precisely, this paper will describe the investigation of key BCI and ML components for the implementation and development of a software supporting this research : Uchron. It will be organised as follows. Firstly, it will introduce the pursued interest and contribution that visual-ERP EEG based BCI application for Generative Design may provide through a synthetic review of precedents and BCI technology. Secondly, selected BCI components will be described and a methodology will be presented to provide an appropriate framework for a CAAD software approach. This section main focus is on the processing component of the BCI. It distinguishes two key aspects of discrimination and generation in its design and proposes a new model based on GAN for modulated adversarial design. Emphasis will be made on the explicit use of inference loops integrating fast human cognitive responses and its individual capitalisation through time in order to reflect towards the generation of design and architectural features.
keywords	Human Computer Interaction; Neurodesign; Generative Design; Design Computing and Cognition; Machine Learning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia18_226
id	acadia18_226
authors	Glynn, Ruairi; Abramovic, Vasilija; Overvelde, Johannes T. B.
year	2018
title	Edge of Chaos. Towards intelligent architecture through distributed control systems based on Cellular Automata.
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. 226-231
doi	https://doi.org/10.52842/conf.acadia.2018.226
summary	From the “Edge of Chaos”, a mathematical space discovered by computer scientist Christopher Langton (1997), compelling behaviors originate that exhibit both degrees of organization and instability creating a continuous dance between order and chaos. This paper presents a project intended to make this complex theory tangible through an interactive installation based on metamaterial research which demonstrates emergent behavior using Cellular Automata (CA) techniques, illustrated through sound, light and motion. We present a multi-sensory narrative approach that encourages playful exploration and contemplation on perhaps the biggest questions of how life could emerge from the disorder of the universe. We argue a way of creating intelligent architecture, not through classical Artificial Intelligence (AI), but rather through Artificial Life (ALife), embracing the aesthetic emergent possibilities that can spontaneously arise from this approach. In order to make these ideas of emergent life more tangible we present this paper in four integrated parts, namely: narrative, material, hardware and computation. The Edge of Chaos installation is an explicit realization of creating emergent systems and translating them into an architectural design. Our results demonstrate the effectiveness of a custom CA for maximizing aesthetic impact while minimizing the live time of architectural kinetic elements.
keywords	work in progress, complexity, responsive architecture, distributed computing, emergence, installation, interactive architecture, cellular automata
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2018_104
id	ecaade2018_104
authors	Gürsoy, Benay
year	2018
title	From Control to Uncertainty in 3D Printing with Clay
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. 21-30
doi	https://doi.org/10.52842/conf.ecaade.2018.2.021
summary	The use of digital fabrication tools can extend beyond the seamless materialization of the digital model and can continuously inform design ideation through emerging material qualities. Exploring the implications of an approach to digital fabrication that is not based on imposed and rigorous formalisms but on unique and contextual ones constitutes the research agenda. Within this framework, the focus of this paper is on 3D printing with clay. Considering matter not as the static and passive outcome of digitally predetermined form, but as a design generator, a case study on both the materials and tools employed in 3D printing with clay is presented.
keywords	Digital fabrication; additive manufacturing; 3D printing with clay; material computing; uncertainty
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ijac201816201
id	ijac201816201
authors	Harding, John and Cecilie Brandt-Olsen
year	2018
title	Biomorpher: Interactive evolution for parametric design
source	International Journal of Architectural Computing vol. 16 - no. 2, 144-163
summary	Combining graph-based parametric design with metaheuristic solvers has to date focused solely on performance-based criteria and solving clearly defined objectives. In this article, we outline a new method for combining a parametric modelling environment with an interactive Cluster-Orientated Genetic Algorithm. In addition to performance criteria, evolutionary design exploration can be guided through choice alone, with user motivation that cannot be easily defined. As well as numeric parameters forming a genotype, the evolution of whole parametric definitions is discussed through the use of genetic programming. Visualisation techniques that enable mixing small populations for interactive evolution with large populations for performance-based optimisation are discussed, with examples from both academia and industry showing a wide range of applications.
keywords	Design exploration, genetic programming, human–computer interaction, interactive genetic algorithms, k-means clustering, parametric design
series	journal
email
last changed	2019/08/07 14:03

_id	ijac201816102
id	ijac201816102
authors	Harmon, Brendan A.; Anna Petrasova, Vaclav Petras, Helena Mitasova and Ross Meentemeyer
year	2018
title	Tangible topographic modeling for landscape architects
source	International Journal of Architectural Computing vol. 16 - no. 1, 4-21
summary	We present Tangible Landscape—a technology for rapidly and intuitively designing landscapes informed by geospatial modeling, analysis, and simulation. It is a tangible interface powered by a geographic information system that gives three- dimensional spatial data an interactive, physical form so that users can naturally sense and shape it. Tangible Landscape couples a physical and a digital model of a landscape through a real-time cycle of physical manipulation, three-dimensional scanning, spatial computation, and projected feedback. Natural three-dimensional sketching and real-time analytical feedback should aid landscape architects in the design of high performance landscapes that account for physical and ecological processes. We conducted a series of studies to assess the effectiveness of tangible modeling for landscape architects. Landscape architecture students, academics, and professionals were given a series of fundamental landscape design tasks—topographic modeling, cut-and-fill analysis, and water flow modeling. We assessed their performance using qualitative and quantitative methods including interviews, raster statistics, morphometric analyses, and geospatial simulation. With tangible modeling, participants built more accurate models that better represented morphological features than they did with either digital or analog hand modeling. When tangibly modeling, they worked in a rapid, iterative process informed by real-time geospatial analytics and simulations. With the aid of real-time simulations, they were able to quickly understand and then manipulate how complex topography controls the flow of water.
keywords	Human–computer interaction, tangible interfaces, tangible interaction, landscape architecture, performance, geospatial modeling, topographic modeling, hydrological modeling
series	journal
email
last changed	2019/08/07 14:03

_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_022
id	caadria2018_022
authors	Hymes, Connor and Klemmt, Christoph
year	2018
title	Discrete Swarm Logics
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. 133-142
doi	https://doi.org/10.52842/conf.caadria.2018.1.133
summary	The logics of agent-based behaviors have found interest in architectural design for their possibility to generate self-organizing geometries. However, the resulting free-form geometries are usually complex and costly to construct as buildings. Recently architects have proposed discrete components to create a cost-effective computational designs. This research explores the possibilities of discretizing agent-based simulations to make their bottom-up behaviors and resulting geometries more easily usable for economic construction. Different types of discretization have been explored. The simulations have been evaluated as a design tool at scales from the urban to the detail. The outcomes at the larger scale provide design possibilities, but with little influence on construction costs. At the smaller scale, the geometric assemblies show good possibilities for an economic design and a feasible construction, by altering, but not compromising, the emergent self-organizing principles that guide the simulations.
keywords	discrete; swarm; agent; simulation
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2018_260
id	ecaade2018_260
authors	Kallegias, Alexandros
year	2018
title	Design by Computation - A material driven study
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. 279-284
doi	https://doi.org/10.52842/conf.ecaade.2018.2.279
summary	The paper aims to address methods of creating a system for design through material studies that are employed as feedback on a computational digital model. The case study described in this paper is the output of an exploration that has investigated physical transformation, interaction and wood materiality over the period of two weeks of the international architecture programme AA Athens Visiting School in Greece. Real-time performative form-responsive methods based on bending and stretching have been developed and simulated in an open-source programming environment. The output of the simulation has been informed by the results of material tests that took place in parallel and have served as inputs for the fine-tuning of the simulation. Final conclusions were made possible from these explorations that enabled the fabrication of a prototype using wood veneer at one-to-one scale. From a pedagogical aspect, the research main focus is to improve the quality of architectural education by learning through making. This is made possible using advanced computational techniques and coupling them with material studies towards an integrated system for architectural prototypes within a limited time frame.
keywords	materiality; computation; 1:1 scale prototyping; simulation; fabrication
series	eCAADe
email
last changed	2022/06/07 07:52

_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_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	ecaade2018_354
id	ecaade2018_354
authors	Leitão, António, Sousa, Sofia and Loio, Francisco
year	2018
title	SafePath - An Agent-Based Framework to Simulate Crowd Behaviors
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. 621-628
doi	https://doi.org/10.52842/conf.ecaade.2018.2.621
summary	Nowadays, many buildings need to accommodate large numbers and/or large concentrations of people. Despite the efforts to produce building designs that can safely evacuate occupants, accidents continue to happen with dramatic consequences. This happens, in part, because of the difficulty in anticipating the consequences of design decisions regarding building's evacuation performance. In order to improve the situation, one needs to resort to evacuation simulation tools. These, however, have two problems: (1) they require analytic building models that are difficult to produce manually, and (2) they tend to focus on evacuations under non-emergency conditions, where panic phenomena is not present. In this paper, we propose a combination between algorithmic design and different evacuation simulators that allows for the quick simulation of many design variations.
keywords	Agent-based Modelling; Algorithmic Design; Evacuation Performance; Evacuation Simulation
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:52

_id	ijac201816304
id	ijac201816304
authors	Miao, Yufan; Reinhard Koenig, Katja Knecht, Kateryna Konieva, Peter Buš and Mei-Chih Chang
year	2018
title	Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town
source	International Journal of Architectural Computing vol. 16 - no. 3, 212-226
summary	This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally, we developed a new data structure to represent street networks, land parcellation, and the relationship between the two. We also introduced a nested parcellation strategy to reduce the number of irregular shapes generated due to algorithmic limitations. Network analysis methods are applied to control the distribution of buildings in the communities so that preferred neighborhood relationships can be considered in the design process. Finally, we demonstrate how to compare designs based on various urban analysis measures and discuss the limitations that arise when we apply our method in practice, especially when dealing with more complex urban design scenarios.
keywords	Procedural modeling, spatial synthesis, generative design, urban planning
series	journal
email
last changed	2019/08/07 14:03

_id	ecaade2018_194
id	ecaade2018_194
authors	Paixao, Jose, Fend, Florian and Hirschberg, Urs
year	2018
title	Break It Till You Make It - A design studio for problem-finding
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. 753-762
doi	https://doi.org/10.52842/conf.ecaade.2018.1.753
summary	In a context where architectural education is undergoing great transformations due to the impact of digital technology, the authors present a design studio model that rather than teaching how to operate the tool en vogue focuses on the formulation of questions. Traditional pedagogic practices have privileged answers in knowledge production, but an alternative is proposed. A methodology was devised in which problem-finding is moved forward by an iterative process of experimental making. This was tested in Winter 2017 with results showing a diversity in questions raised, but also the premature discontinuation of several paths of inquiry. Only one completed all 6 planned iterations and benefited from the final, in which the building of a 1:1 prototype informed its research focus. The conclusions highlight the contribution of this model in preparing future practitioners with an attitude of inquiry and drive to experiment that will resist obsoleteness from rapid technological developments.
keywords	Architectural Education; Design Studio; Problem-Based Learning; Material Systems; Digital Fabrication; Wood Construction
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2018_229
id	ecaade2018_229
authors	Rogers, Jessie and Schnabel, Marc Aurel
year	2018
title	Digital Design Ecology - An Analysis for an Intricate Framework of Architectural Design
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. 459-468
doi	https://doi.org/10.52842/conf.ecaade.2018.1.459
summary	This paper evaluates, along with expert assessment, the novel, evolving and creative instruments employed for a digital design process. Applications within this paper derive outputs which are attention-grabbing. These include Agent Simulations, Artistic Image Processing, Realistic Site Geometry, Projected 3D Space Sketching, Immersive 3D Space Sketching, Rhinoceros3D, Grasshopper3D, Fuzor, and Immersive Virtual Reality Presentation. The expert evaluations conclude that all design instruments and methodologies implemented within the digital design ecology work together well for educational purposes. Within the professional practice, however, the various tools could be implemented seamlessly; whereas some of them would not suit the industry from a time-cost perspective. Throughout this paper reason and insight becomes explained and is clear as to why various applications should be selected within various modes of operandi for design processes.
keywords	Methodology Ecology; Agent Simulation; Digital Design; Virtual Reality; Photogrammetry; Image Processing
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2018_197
id	caadria2018_197
authors	Rogers, Jessie, Schnabel, Marc Aurel and Lo, Tian Tian
year	2018
title	Digital Culture - An Interconnective Design Methodology Ecosystem
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. 493-502
doi	https://doi.org/10.52842/conf.caadria.2018.1.493
summary	Transitioning away from traditional design methodology, for example, paper sketching, CAAD works, and 'flat screen' rendering, this paper proposes a new methodological ecosystem of which tests its validity within a studio-based case study. The focus will prove whether dynamic implementation and interconnectivity of evolving design tools can create richness and complexity of a design outcome through arbitrary phases of a generative design methodology ecosystem. Processes tested include combinations of agent simulations, artistic image processing analysis, site photogrammetry, 3D immersive sketching both abstract and to site-scale, parametric design generation, and virtual reality style presentations. Enhancing the process of design with evolving techniques in a generative way which dynamically interconnects will stimulate a digital culture of design generation that includes new aspects of interest and introduces innovative opportunities within all corners of the architectural realm. Methodology components within this ecosystem of interaction prove that the architecture cannot be as rich and complex without the utilisation of all strengths within each unique design tool.
keywords	Methodology Ecosystem; Simulation; Immersive; Virtual Reality; Photogrammetry
series	CAADRIA
email
last changed	2022/06/07 07:56

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