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	sigradi2018_1370
id	sigradi2018_1370
authors	Torreblanca Díaz, David Andrés
year	2018
title	Bio-inspired parametric textures applications in academic design projects
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 997-1003
summary	Designers, architects and different creative professionals have used biomimicry, as a recurrent tool to solve human problems through the identification of strategies, characteristics and solutions in nature. This article presents the first highlighted experiences of bio-inspired parametric textures applications in academia, particularly in final degree projects, which are carried out through the methodology proposed in the bio-inspired parametric textures research project. This paper is divided into two parts: the first part is focused on bio-inspired textures applications methodology; the second part is oriented to show two cases of final degree projects in the industrial design career.
keywords	Biomimetics; Experimental morphology; Digital manufacturing; Parametric design; Design
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2018_126
id	caadria2018_126
authors	Khean, Nariddh, Kim, Lucas, Martinez, Jorge, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	The Introspection of Deep Neural Networks - Towards Illuminating the Black Box - Training Architects Machine Learning via Grasshopper Definitions
doi	https://doi.org/10.52842/conf.caadria.2018.2.237
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. 237-246
summary	Machine learning is yet to make a significant impact in the field of architecture and design. However, with the combination of artificial neural networks, a biologically inspired machine learning paradigm, and deep learning, a hierarchical subsystem of machine learning, the predictive capabilities of machine learning processes could prove a valuable tool for designers. Yet, the inherent knowledge gap between the fields of architecture and computer science has meant the complexity of machine learning, and thus its potential value and applications in the design of the built environment remain little understood. To bridge this knowledge gap, this paper describes the development of a learning tool directed at architects and designers to better understand the inner workings of machine learning. Within the parametric modelling environment of Grasshopper, this research develops a framework to express the mathematic and programmatic operations of neural networks in a visual scripting language. This offers a way to segment and parametrise each neural network operation into a basic expression. Unpacking the complexities of machine learning in an intermediary software environment such as Grasshopper intends to foster the broader adoption of artificial intelligence in architecture.
keywords	machine learning; neural network; action research; supervised learning; education
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2018_325
id	ecaade2018_325
authors	Peteinarelis, Alexandros and Yiannoudes, Socrates
year	2018
title	Parametric Models and Algorithmic Thinking in Architectural Education
doi	https://doi.org/10.52842/conf.ecaade.2018.2.401
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. 401-410
summary	Part of our research and teaching agenda at the School of Architecture of the Technical University of Crete focuses on algorithmic design with parametric models, its methodological characteristics and the study of applied and theoretical work that defined this architectural design thinking. Our work challenges architectural design processes, through the systematic study of parametric models. This paper presents three projects from the undergraduate elective course "Special Topics in Architectural Design", which took place during the spring semester of 2017, that investigated parametric models for a given architectural problem, inspired, to some extent, by precedents in 20th century architecture where students traced algorithmic design thinking. Although students understood well the concept and function of parametric models and in many cases applied them successfully for their design objectives, several of them did not fully assimilate some critical aspects of computation. This allowed us to determine areas of improvement and points of complete reevaluation in our educational strategy approach.
keywords	algorithmic thinking; parametric model; computational thinking; architectural education; Frei Otto
series	eCAADe
email
last changed	2022/06/07 08:00

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	sigradi2018_1677
id	sigradi2018_1677
authors	Machado Fagundes, Cristian Vinicius; Duarte Costa, Cauê; Pinto da Silva, Fábio; Miotto Bruscato, Underléa
year	2018
title	Facade hollow brick (cobogó) 3D scanning: natural light admission analysis and comparison with original digital 3D model.
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 596-601
summary	The cobogó is a hollow brick used for light and ventilation control, besides having an important aesthetic function. With computer graphics, 3d digital models can be used during the design process to verify these functions. Thus, the goal of this paper is to compare and analyze the different digital 3D models obtained (built virtually or through 3D scanning) of a cobogó existing in the Brazilian market, so that visual and lighting differences can be observed, and how these differences can impact the design process.
keywords	3D Scanning; Parametric Design; Climatic Analysis; 3D model
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ijac202018202
id	ijac202018202
authors	Pasquero, Claudia and Marco Poletto
year	2020
title	Bio-digital aesthetics as value system of post-Anthropocene architecture
source	International Journal of Architectural Computing vol. 18 - no. 2, 120-140
summary	It is timely within the Anthropocene era, more than ever before, to search for a non-anthropocentric mode of reasoning, and consequently designing. The PhotoSynthetica Consortium, established in 2018 and including London-based ecoLogicStudio, the Urban Morphogenesis Lab (Bartlett School of Architecture, University College London) and the Synthetic Landscape Lab (University of Innsbruck, Austria), has therefore been pursuing architecture as a research-based practice, exploring the interdependence of digital and biological intelligence in design by working directly with non-human living organisms. The research focuses on the diagrammatic capacity of these organisms in the process of growing and becoming part of complex bio-digital architectures. A key remit is training architects’ sensibility at recognising patterns of reasoning across disciplines, materialities and technological regimes, thus expanding the practice’s repertoire of aesthetic qualities. Recent developments in evolutionary psychology demonstrate that the human sense of beauty and pleasure is part of a co-evolutionary system of mind and surrounding environment. In these terms, human senses of beauty and pleasure have evolved as selection mechanisms. Cultivating and enhancing them compensate and integrate the functions of logical thinking to gain a systemic view on the planet Earth and the dramatic changes it is currently undergoing. This article seeks to illustrate, through a series of recent research projects, how a renewed appreciation of beauty in architecture has evolved into an operational tool to design and measure its actual ecological intelligence.
keywords	Bio-digital, bio-computation, bio-city, effectiveness, empathy, impact, sensing
series	journal
email
last changed	2020/11/02 13:34

_id	ecaade2018_303
id	ecaade2018_303
authors	Werner, Liss C.
year	2018
title	Biological Computation of Physarum - From DLA to spatial adaptive Voronoi
doi	https://doi.org/10.52842/conf.ecaade.2018.2.531
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. 531-536
summary	Physarum polycephalum, also called slime mold or myxamoeba, has started attracting the attention of those architects, urban designers, and scholars, who work in experimental trans- and flexi-disciplines between architecture, computer sciences, biology, art, cognitive sciences or soft matter; disciplines that build on cybernetic principles. Slime mold is regarded as a bio-computer with intelligence embedded in its physical mechanisms. In its plasmodium stage, the single cell organism shows geometric, morphological and cognitive principles potentially relevant for future complexity in human-machines-networks (HMN) in architecture and urban design. The parametric bio-blob presents itself as a geometrically regulated graph structure-morphologically adaptive, logistically smart. It indicates cognitive goal-driven navigation and the ability to externally memorize (like ants). Physarum communicates with its environment. The paper introduces physarum polycephalum in the context of 'digital architecture' as a biological computer for self-organizing 2D- to 4D-geometry generation.
keywords	generative geometry; bio-computation; Voronoi
series	eCAADe
email
last changed	2022/06/07 07:57

_id	sigradi2018_1722
id	sigradi2018_1722
authors	Zheliazkova, Maia; Savova, Biliana; Naboni, Roberto
year	2018
title	Plant-inspired Kinetic Systems for Architecture
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 338-345
summary	This paper explores kinetic mechanisms which enable building systems with features belonging to the living systems, such as resilience and adaptivity. Adopting a bio-inspired approach, the research employs plants as biological models for the development of multi-performance kinetic structures. Nature-based kinetic principles are transferred at the micro, meso and macro scale, informing a compliant bilayer cellular membrane. Through the synthesis of environmental pressure and interior emergent requisites, an adaptable organic skin is here conceptualized to mediate environmental conditions such as energy flows and lighting in a dynamic way
keywords	Bio-inspired Design; Computational Design; Kinetic System
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2018_086
id	caadria2018_086
authors	Castelo Branco, Renata and Leit?o, António
year	2018
title	Algorithmic Architectural Visualization
doi	https://doi.org/10.52842/conf.caadria.2018.2.557
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. 557-566
summary	Digitally-generated visualizations, such as renders or movies, are, nowadays, commonly used as representation methods for architectural creations. This occurs not only in final stages of the process, with the goal of selling the product's image, but also in midst creation process to express concepts and ideas. Presently, the spread of parametric and algorithmic approaches to design creates a problem for visualization, as it enables the almost effortless change of 3D models, thus requiring repeated visualization efforts to keep up with the changes applied to the design. To solve this, we propose extending the algorithmic design approach to also include the high-level description of architectural image creation. The methodology, Algorithmic Architectural Visualization (AAV), also contemplates the required preparation settings for the visualization process, and includes possible visualization productions inspired by film techniques.
keywords	Algorithmic Design; Architectural Visualization; Render; Film Grammar
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2018_1609
id	sigradi2018_1609
authors	Chia, Hsu Yi; Hsien, Hsu Pei
year	2018
title	The fabrication and application of parametric inflatable structure
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 684-689
summary	This study uses parametric design to optimize the process and application of the inflatable method. Inflatable design has advantages of light weight, integral forming, volume change, etc., but the manufacturing process often requires the development of molds, a large number of manual heat seals, etc. Inspired by the structure principle of amputated wing tube structure, coupled with the advantages of parameterization and digital tool heat sealing, The same material can be made at different tightness, because the tight design with different angles has more structural characteristics and bending properties, thereby generating more complex spatial structures. Different materials also have corresponding manufacturing methods, which also increase the opportunities for application in architectural design.
keywords	Robotic arms fabrication; Inflatable Shape-change; pneumatic; bending mechanism; pavilion design;
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_339
id	ecaade2018_339
authors	Fereos, Pavlos, Tsiliakos, Marios and Jaschke, Clara
year	2018
title	Spaceship Tectonics - Design Computation Pedagogy for Generative Sci-Fi Building Skins
doi	https://doi.org/10.52842/conf.ecaade.2018.2.357
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. 357-366
summary	Sci-Fi architecture, both as digital or physical representations, despite their inherent intricacy, lack the spatial depth of a structured interior, material definition or program information. This discrepancy, combined with the plethora of available sci-fi motifs, inspired the development of an integrated teaching approach with the academic objective to utilize computational methods for analysis, reproduction and composition of generative building skins, and consequently architecture, which aims to be 'outside of this world' as a sci-fi design quality-enriched result of our reality. The proposed methodology is implemented at the Spaceship Architecture Design Studio at the University of Innsbruck. Its capacity to achieve a successful assimilation of design computation in the curriculum is subsequently assessed by the documentation and quantitative/qualitative evaluation of the designs developed during two academic years, in line with a generative facade articulation schema, without however undermining the rest of the virtues of tectonic spaces. The introduction of a theme like sci-fi where the design objective is not clearly defined, is examined in comparison to similar approaches, towards the corroboration of the pedagogical method proposed.
keywords	Pedagogy; Computation; Facade Design; Generative; Sci-Fi; Patterns
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2018_301
id	caadria2018_301
authors	Fereos, Pavlos, Tsiliakos, Marios and Jaschke, Clara
year	2018
title	Spaceship Architecture - A Sci-Fi Pedagogical Approach to Design Computation
doi	https://doi.org/10.52842/conf.caadria.2018.1.081
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. 81-90
summary	The analysis of make-belief drawings and models of Sci-Fi spaceships and architecture, leaves architects usually in absence of interior, material or program information. The spatial depth of sci-fi digital or physical models is virtually non-existent and unresolved. This discrepancy within sci-fi scenarios inspired the development of an integrated teaching methodology within design studios, with the academic objective to utilize computational methods for analysis, reproduction and eventually composition, while assessing its capacity to achieve a successful assimilation of design computation in the curriculum. The Spaceship Architecture Design Studio at University of Innsbruck's Institute for Experimental Architecture.hochbau follows a procedural approach in which the design objective is not predefined. Yet, it aims to be 'outside of this world' as a sci-fi architectural quality-enriched result of our reality, via a design oriented course with immersive computational strategies.
keywords	pedagogy; computation; sci-fi; academia; teaching
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2018_266
id	ecaade2018_266
authors	Zhang, Catty Dan and Sayegh, Allen
year	2018
title	Multi-dimensional Medium-printing - Prototyping Robotic Thermal Devices for Sculpting Airflow
doi	https://doi.org/10.52842/conf.ecaade.2018.1.841
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. 841-850
summary	This research investigates the design and prototyping of fabrication machines that utilize multi-dimensional printing techniques to sculpt an invisible medium- airflow, inspired by its unique materiality, philosophical value, sensorial aspects, and increasing considerations of atmosphere and climate in architectural research and design. A series of robotic thermal devices were developed to modulate animated geometry sequences through scripted movements, designated coordinates, and temperature fluctuations. This paper elaborates in depth multi-stage developments and experiments that integrate various systems, fabrication processes, optical experiments and computational analysis. It situates the experimental process of the medium-driven fabrication with possible applications in architectural design as envisioning alternative environmental systems utilizing thermal byproducts under aesthetic and experiential considerations.
keywords	Airflow; Robotics; Additive Manufacturing; Fabrication; Atmosphere
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2018_039
id	caadria2018_039
authors	Zhang, Pengyu and Xu, Weiguo
year	2018
title	Quasicrystal Structure Inspired Spatial Tessellation in Generative Design
doi	https://doi.org/10.52842/conf.caadria.2018.1.143
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. 143-152
summary	Quasicrystal structure is a kind of quasiperiodic spatial tessellation formed by several kinds of tiles. Compared with periodic or other aperiodic tiling, it shows superiorities but also drawbacks when used for generative design. It can generate attractive and irregular novel forms with controllable cost for construction, but its strict rules restrict its variety. To cover the disadvantages of these tessellations without diminishing their advantages, a new kind of spatial tessellation, named as Periodic-to-Aperiodic (P-A) Tiling is proposed in this paper with a series of installation design cases, inspired by the primary principles and architectural applications of quasicrystal structure.
keywords	Spatial tessellation; Quasicrystal structure; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_227
id	ecaade2018_227
authors	Chatzitsakyris, Panagiotis
year	2018
title	EventMode - A new computational design tool for integrating human activity data within the architectural design workflow
doi	https://doi.org/10.52842/conf.ecaade.2018.1.649
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. 649-656
summary	Architectural designers are currently depending on a multitude of elaborate computational tools in order to explore, manipulate and visualize the geometric form of their building projects. However, if architecture can be perceived as the manipulation of geometric form in direct relation to human activities and events that take place inside it, then it is evident that such design parameters are not sufficiently represented in the currently available modeling software. Would it be possible to introduce the human activity element in the aforementioned computational tools in a way that informs the design process and improves the final building product? This paper attempts to answer this question by introducing a new experimental design tool that enables the creation of parametric human activity envelopes within three-dimensional digital models. The novel approach is that this tool enables the parametric interaction of these components with the actual building geometry and generates novel visual and data representations of the 3D model. The goal is to improve the decision-making process of architects as well as their clients by enabling them to evaluate and iterate their designs based not only on the building's form but also on the human spatial events that take place inside it. A prototype implementation demonstrates the tool's practical application through three design examples.
series	eCAADe
email
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	ecaade2018_188
id	ecaade2018_188
authors	Coppens, Adrien, Mens, Tom and Gallas, Mohamed-Anis
year	2018
title	Parametric Modelling Within Immersive Environments - Building a Bridge Between Existing Tools and Virtual Reality Headsets
doi	https://doi.org/10.52842/conf.ecaade.2018.2.711
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. 711-716
summary	Even though architectural modelling radically evolved over the course of its history, the current integration of Augmented Reality (AR) and Virtual Reality (VR) components in the corresponding design tasks is mostly limited to enhancing visualisation. Little to none of these tools attempt to tackle the challenge of modelling within immersive environments, that calls for new input modalities in order to move away from the traditional mouse and keyboard combination. In fact, relying on 2D devices for 3D manipulations does not seem to be effective as it does not offer the same degrees of freedom. We therefore present a solution that brings VR modelling capabilities to Grasshopper, a popular parametric design tool. Together with its associated proof-of-concept application, our extension offers a glimpse at new perspectives in that field. By taking advantage of them, one can edit geometries with real-time feedback on the generated models, without ever leaving the virtual environment. The distinctive characteristics of VR applications provide a range of benefits without obstructing design activities. The designer can indeed experience the architectural models at full scale from a realistic point-of-view and truly feels immersed right next to them.
keywords	Computer-aided Design; Parametric modelling; Virtual Reality; Architectural modelling; Human-Computer Interaction
series	eCAADe
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
doi	https://doi.org/10.52842/conf.ecaade.2018.2.327
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
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	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	caadria2018_162
id	caadria2018_162
authors	Hawton, Dominic, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	Shared Immersive Environments for Parametric Model Manipulation - Evaluating a Workflow for Parametric Model Manipulation from Within Immersive Virtual Environments
doi	https://doi.org/10.52842/conf.caadria.2018.1.483
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. 483-492
summary	Virtual reality (VR) and augmented reality (AR) provide designers with new visual mediums through which to communicate their designs. There is great potential for these mediums to positively augment current visual communication methods by improving remote collaboration. Enabling designers to interact with familiar computational tools through external virtual interfaces would allow them to both calibrate design parameters and visualise parametric outcomes from within the same immersive virtual environment. The current research outlines a workflow for parametric manipulation and mesh replication between immersive applications developed in the Unity game engine and McNeel's Grasshopper plugin. This paper serves as a foundation for future research into integrating design tools with external VR and AR applications in an effort of enhancing remote collaborative designs.
keywords	Augmented Reality; Virtual Reality; Parametric Design; Procedural; Grasshopper
series	CAADRIA
email
last changed	2022/06/07 07:49

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