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	caadria2017_094
id	caadria2017_094
authors	Matthews, Linda and Perin, Gavin
year	2017
title	A Productive Ambiguity:Diffraction Aberrations as a Template for the Architectural Surface
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 571-580
doi	https://doi.org/10.52842/conf.caadria.2017.571
summary	The hi-resolution imaging of public urban space for both promotional and surveillance purposes is now undertaken by a range of ubiquitous visioning technology such as Internet webcams, drones (UAV's) and high-altitude aircraft cameras. The ability to control and manipulate these types of images is a growing concern in an increasingly 'envisioned' environment. One approach is to disrupt or modify the 'emission signatures' of urban surfaces, which requires an understanding of the digital algorithms used to assemble and transmit image content into grids of visual data. Recent scaled tests show that Fraunhofer diffraction algorithms can interfere with the smooth transmission of image data. When these algorithmic patterns are physically constructed into a building façade, they create natural disruption glitches in the camera's successful transmission of visual data. The paper details how the quantum of visual aberration in the digital portrayal of the city can be determined by algorithm-based façade patterning.
keywords	surveillance; camoufleur; envisioned; algorithms; diffraction; façades; aberration
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2017_013
id	ecaade2017_013
authors	Junk, Stefan and Gawron, Philipp
year	2017
title	Development of parametric CAAD models for the additive manufacturing of scalable architectural models
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 419-426
doi	https://doi.org/10.52842/conf.ecaade.2017.1.419
summary	Architecture models are an essential component of the development process and enable a physical representation of virtual designs. In addition to the conventional methods of model production using the machining of models made of wood, metal, plastic or glass, a number of additive manufacturing processes are now available. These new processes enable the additive manufacturing of architectural models directly from CAAD or BIM data. However, the boundary conditions applicable to the ability to manufacture models with additive manufacturing processes must also be considered. Such conditions include the minimum wall thickness, which depends on the applied additive manufacturing process and the materials used. Moreover, the need for the removal of support structures after the additive manufacturing process must also be considered. In general, a change in the scale of these models is only possible at very high effort. In order to allow these restrictions to be adequately incorporated into the CAAD model, this contribution develops a parametrized CAAD model that allows such boundary conditions to be modified and adapted while complying with the scale. Usability of this new method is illustrated and explained in detail in a case study. In addition, this article addresses the additive manufacturing processes including subsequent post-processing.
keywords	Digital manufacturing; Parametric design; Architectural model
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2017_309
id	ecaade2017_309
authors	Lo Turco, Massimiliano, Zich, Ursula, Astolfi, Arianna, Shtrepi, Louena and Botto Poaola, Matteo
year	2017
title	From digital design to physical model - Origami techniques applied to dynamic paneling shapes for acoustic performance control
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 77-86
doi	https://doi.org/10.52842/conf.ecaade.2017.2.077
summary	The recent trend toward non-standard and free form architecture has generated a lot of debate among the Scientific Community. The reasons can be found in the renewed interest in organic shapes, in addition to recent and powerful capabilities of parametric platforms. In this regard, the Visual Programming Language (VPL) interface gives a high level of freedom and control for conceiving complex shapes. The geometric problems in identifying a suitable shape have been addressed by relying on the study of Origami. The control of variable geometry has required the use of algorithmic models that ensure fast changes and free control of the model, besides a physical one made of rigid cardboard to simulate its rigid-foldability. The aim is to present a prototype of an adaptive structure, with an acoustic application, to control sound quality and perception in spaces where this has a central role, such as theatres or concert halls.
keywords	parametric modeling; generative design; shape and form studies; acoustics conditions; digital Representation
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2017_033
id	caadria2017_033
authors	Qu, Tengteng, Zang, Wei, Peng, Zhenwei, Liu, Jun, Li, Weiwei, Zhu, Yun, Zhang, Bin and Wang, Yongsheng
year	2017
title	Construction Site Monitoring Using UAV Oblique Photogrammetry and BIM Technologies
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 655-662
doi	https://doi.org/10.52842/conf.caadria.2017.655
summary	Traditional construction site monitoring primarily relies on a human presence. Automated construction progress monitoring is expected to make this process much more efficient and precise. The planned state of construction (as-planned) must be validated by the actual state (as-built) during automated construction progress monitoring. This research uses an integrated application of high-resolution low-altitude UAV (Unmanned Aerial Vehicle) oblique photogrammetry and Building Information Modeling (BIM) technologies for construction site management. A case study was carried out for a renewable energy development program in the JiaDing District of Shanghai, China. A high-resolution 3D model of the construction site acquired by our multi-motor UAV provides data to illustrate the as-built state of the construction program. Comparison of the UAV-based 3D model (as-built) with the BIM-based 3D model (as-planned) for a specific chimney was used for dynamic construction site monitoring. Our results show 3D illustrations of construction progress. This research demonstrates that the BIM technology in conjunction with the use of UAV photogrammetry provides efficient and precise as-built data collection and illustration of construction progress.
keywords	Oblique Photogrammetry; UAV; 3D modeling; BIM; construction site monitoring
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	acadia17_552
id	acadia17_552
authors	Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Emergent Syntax: Machine Learning for the Curation of Design Solution Space
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 552- 561
doi	https://doi.org/10.52842/conf.acadia.2017.552
summary	The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords	design methods; information processing; AI; machine learning; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_670
id	acadia17_670
authors	Zwierzycki, Mateusz; Vestartas, Petras; Heinrich, Mary Katherine; Ayres, Phil
year	2017
title	High Resolution Representation and Simulation of Braiding Patterns
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 670- 679
doi	https://doi.org/10.52842/conf.acadia.2017.670
summary	From the hand-crafted to the highly engineered, braided structures have demonstrated broad versatility across scales, materials, and performance types, leading to their use in a plethora of application domains. Despite this prevalence, braided structures have seen little exploration within a contemporary architectural context. Within the flora robotica project, complex braided structures are a core element of the architectural vision, driving a need for generalized braid design modeling tools that can support fabrication. Due to limited availability of existing suitable tools, this interest motivates the development of a digital toolset for design exploration. In this paper, we present our underlying methods of braid topology representation and physics-based simulation for hollow tubular braids. We contextualize our approach in the literature where existing methods for this class of problem are not directly suited to our application, but offer important foundations. Generally, the tile generation method we employ is an already known approach, but we meaningfully extend it to increase the flexibility and scope of topologies able to be modeled. Our methods support design workflows with both predetermined target geometries and generative, adaptive inputs. This provides a high degree of design agency by supporting real-time exploration and modification of topologies. We address some common physical simulation problems, mainly the overshooting problem and collision detection optimization, for which we develop dynamic simulation constraints. This enables unrolling into realistically straight strips, our key fabrication-oriented contribution. We conclude by outlining further work, specifically the design and realization of physical braids, fabricated robotically or by hand.
keywords	design methods; information processing; fabrication; digital craft; manual craft; representation
series	ACADIA
email
last changed	2022/06/07 07:57

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
doi	https://doi.org/10.52842/conf.acadia.2019.392
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaade2017_148
id	ecaade2017_148
authors	Baseta, Efilena, Sollazzo, Aldo, Civetti, Laura, Velasco, Dolores and Garcia-Amorós, Jaume
year	2017
title	Photoreactive wearable: A computer generated garment with embedded material knowledge - A computer generated garment with embedded material knowledge
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 317-326
doi	https://doi.org/10.52842/conf.ecaade.2017.2.317
summary	Driven by technology, this multidisciplinary research focuses on the implementation of a photomechanical material into a reactive wearable that aims to protect the body from the ultraviolet radiation deriving from the sun. In this framework, the wearable becomes an active, supplemental skin that not only protects the human body but also augments its functions, such as movement and respiration. The embedded knowledge enables the smart material to sense and exchange data with the environment in order to passively actuate a system that regulates the relation between the body and its surroundings in an attempt to maintain equilibrium. The design strategy is defined by 4 sequential steps: a) The definition of the technical problem, b) the analysis of the human body, c) the design of the reactive material system, as well as d) the digital simulations and the digital fabrication of the system. The aforementioned design strategies allow for accuracy as well as high performance optimization and predictability in such complex design tasks, enabling the creation of customized products, designed for individuals.
keywords	smart materials; wearable technology; data driven design; reactive garment; digital fabrication; performance simulations
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2017_056
id	caadria2017_056
authors	Carreiro, Miguel, Andrade, Marina A. P. and Sales Dias, Miguel
year	2017
title	Cognition and Evaluation of Architecture Environments Based on Geometric Contour References and Aesthetic Judgements
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 581-590
doi	https://doi.org/10.52842/conf.caadria.2017.581
summary	This paper presents the outline and the achieved results of an experimental study developed to understand the differences on how close architecture spaces with distinct geometric characteristics at contour level, including rounded, curvilinear and sharp, rectilinear elements, are perceived and evaluated. In order to do so, eighteen virtual reality architecture spaces were evaluated by thirty-two test-subjects according to like/dislike aesthetic judgments. As expected, the tested subjects showed a higher level of preference for spaces with rounded, curvilinear contour elements. On another way, when the level of space curvature was high, considering the whole space surface and not only the contour of plan transitions, the level of preference decreased significantly. These results support the idea that rounded, curvilinear elements are interpreted as being more pleasant and preferred than sharp, rectilinear ones and create new knowledge on the how the levels of such preference are more accurate for moderate rather than radical curvature rates.
keywords	Geometric contour; Architecture space environment; Curve, rounded, angular and rectilinear; aesthetic judgement; experimental study.
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia23_v1_166
id	acadia23_v1_166
authors	Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year	2023
title	High-performance Spatial Composite 3D Printing
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary	This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2017_031
id	caadria2017_031
authors	Crolla, Kristof, Williams, Nicholas, Muehlbauer, Manuel and Burry, Jane
year	2017
title	SmartNodes Pavilion - Towards Custom-optimized Nodes Applications in Construction
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 467-476
doi	https://doi.org/10.52842/conf.caadria.2017.467
summary	Recent developments in Additive Manufacturing are creating possibilities to make not only rapid prototypes, but directly manufactured customised components. This paper investigates the potential for combining standard building materials with customised nodes that are individually optimised in response to local load conditions in non-standard, irregular, or doubly curved frame structures. This research iteration uses as a vehicle for investigation the SmartNodes Pavilion, a temporary structure with 3D printed nodes built for the 2015 Bi-City Biennale of Urbanism/Architecture in Hong Kong. The pavilion is the most recent staged output of the SmartNodes Project. It builds on the findings in earlier iterations by introducing topologically constrained node forms that marry the principals of the evolved optimised node shape with topological constraints imposed to meet the printing challenges. The 4m high canopy scale prototype structure in this early design research iteration represents the node forms using plastic Fused Deposition Modelling (FDM).
keywords	Digital Fabrication; Additive Manufacturing; File to Factory; Design Optimisation; 3D printing for construction
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia17_248
id	acadia17_248
authors	Felbrich, Benjamin; Fru?h, Nikolas; Prado, Marshall; Saffarian, Saman; Solly, James; Vasey, Lauren; Knippers, Jan; Menges, Achim
year	2017
title	Multi-Machine Fabrication: An Integrative Design Process Utilising an Autonomous UAV and Industrial Robots for the Fabrication of Long-Span Composite Structures
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 248-259
doi	https://doi.org/10.52842/conf.acadia.2017.248
summary	Fiber composite materials have tremendous potential in architectural applications due to their high strength-to-weight ratio and their ability to be formed into complex shapes. Novel fabrication processes can be based on the unique affordances and characteristics of fiber composites. Because these materials are lightweight and have high tensile strength, a radically different approach to fabrication becomes possible, which combines low-payload yet long-range machines—such as unmanned aerial vehicles (UAV)—with strong, precise, yet limited-reach industrial robots. This collaborative concept enables a scalable fabrication setup for long-span fiber composite construction. This paper describes the integrated design process and design development of a large-scale cantilevering demonstrator, in which the fabrication setup, robotic constraints, material behavior, and structural performance were integrated in an iterative design process.
keywords	material and construction; fabrication; construction; robotics
series	ACADIA
email
last changed	2022/06/07 07:50

_id	caadria2017_002
id	caadria2017_002
authors	Haeusler, M. Hank, Muehlbauer, Manuel, Bohnenberger, Sascha and Burry, Jane
year	2017
title	Furniture Design Using Custom-Optimised Structural Nodes
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 841-850
doi	https://doi.org/10.52842/conf.caadria.2017.841
summary	Additive manufacturing techniques and materials have evolved rapidly during the last decade. Applications in architecture, engineering and construction are getting more attention as 3D printing is trying to find its place in the industry. Due to high material prices for metal 3d printing and in-homogenous material behaviour in printed plastic, 3D printing has not yet had a very significant impact at the scale of buildings. Limitations on scale, cost, and structural performance have also hindered the advancement of the technology and research up to this point. The research presented here takes a case study for the application of 3D printing at a furniture scale based on a novel custom optimisation approach for structural nodes. Through the concentration of non-standard geometry on the highly complex custom optimised nodes, 3D printers at industrial product scale could be used for the additive manufacture of the structural nodes. This research presents a design strategy with a digital process chain using parametric modeling, virtual prototyping, structural simulation, custom optimisation and additive CAD/CAM for a digital workflow from design to production. Consequently, the digital process chain for the development of structural nodes was closed in a holistic manner at a suitable scale.
keywords	Digital fabrication; node optimisation; structural performance; 3D printing; carbon fibre.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2017_183
id	caadria2017_183
authors	Holzer, Dominik
year	2017
title	Optimising Human Comfort in Medium-density Housing via Daylight and Wind Simulation
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 273-282
doi	https://doi.org/10.52842/conf.caadria.2017.273
summary	This paper explores the pedagogical context for the inclusion of daylight and wind simulation as part of architectural design-studio teaching. The author describes both challenges as well as opportunities encountered by architecture students who applied high-end technology for optimizing environmental conditions during the conceptual design of a residential project within a thirteen week studio. Students located their projects in an inner urban context in a 'Temperate' climate zone, meaning that they had to account for hot conditions in summer while considering wind-chill factors in winter. Based on the studio experience, the paper scrutinizes how students tackled Computational Fluid Dynamics (CFD) and daylight analysis on different scales of their project. The paper explores how the engagement with latest tools available to architecture students changes their ability to discuss building physics with engineers and question precedence typology. The author describes the pedagogical challenges when helping architecture students to overcome obstacles in communicating engineering aspects inherent to the design process.
keywords	Environmental Analysis; CFD; Daylight Simulation; Design Pedagogy; Parametric Design
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_354
id	caadria2021_354
authors	Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year	2021
title	Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 549-558
doi	https://doi.org/10.52842/conf.caadria.2021.2.549
summary	With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords	multi-source big data; Central Activities Zone; Vitality; Lujiazui
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia17_308
id	acadia17_308
authors	Joyce, Sam Conrad; Ibrahim, Nazim
year	2017
title	Exploring the Evolution of Meta Parametric Models
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 308- 317
doi	https://doi.org/10.52842/conf.acadia.2017.308
summary	Parametric associative logic can describe complex design scenarios but are typically non-trivial and time consuming to develop. Optimization is being widely applied in many fields to find high-performing solutions to objective design needs, and this is being extended further to include user input to satisfy subjective preferences. However, whilst conventional optimization approaches can set good parameters for a model, they cannot currently improve the underlying logic defined by the associative topology of the model, leaving it limited to predefined domain of designs. This work looks at the application of Cartesian Genetic Programming (CGP) as a method for allowing the automatic generation, combination and modification of valid parametric models, including topology. This has value as it allows for a much greater range of solutions, and potentially computational "creativity," as it can develop unique and surprising solutions. However, the application of a genome-based definition and evolutionary optimization, respectively, to describe parametric models and develop better models for a problem, introduce many unknowns into the model generation process. This paper explains CGP as applied to parametric design and investigates the difference between using mating, mutating and both strategies together as a way of combining aspects of parent models, under selection by a genetic algorithm under random, objective and user (Interactive GA) preferences. We look into how this effects the resultant overiterated interaction in relation to both the geometry and the parametric model.
keywords	design methods; information processing; generative system; data visualization; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_318
id	acadia17_318
authors	Khan, Sumbul; Tunçer, Bige
year	2017
title	Intuitive and Effective Gestures for Conceptual Architectural Design: An Analysis Of User Elicited Hand Gestures For 3D CAD Modeling
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 318- 323
doi	https://doi.org/10.52842/conf.acadia.2017.318
summary	Gesture-based natural interfaces necessitate research into gestures that are intuitive for designers and effective for natural interaction. Intuitive knowledge is significant for conceptual design as it reduces time taken to complete tasks and improves usability of products. In a previously conducted experiment, we elicited gestures for 3D CAD modeling tasks for conceptual architectural design. In this study, we present a preliminary analysis of intuitiveness scores of gestures and evaluators’ ratings to analyze which gestures were more intuitive and effective for CAD manipulation tasks. Results show that gestures with high intuitive scores were not necessarily rated as effective by evaluators and that bimanual symmetric gestures consistently scored high for both intuitiveness and effectiveness. Based on our findings we give recommendations for the design of gesture-based CAD modeling systems for single and multiple users.
keywords	design methods; information processing; HCI; collaboration; art and technology
series	ACADIA
email
last changed	2022/06/07 07:52

_id	caadria2017_004
id	caadria2017_004
authors	Lo, Tian Tian, Schnabel, Marc Aurel and Moleta, Tane J.
year	2017
title	Gamification for User-Oriented Housing Design - A Theoretical Review
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 63-72
doi	https://doi.org/10.52842/conf.caadria.2017.063
summary	Fluctuating economies and changing family demographics have increased the complexity in meeting the spatial needs for contemporary housing. Digital systems that allow flexibility are growing in demand but its rate of development is not catching up with the rapid changes. This paper explores how digital interventions can limit or help the process of collaborative design in high-density mass housing context. One key factor in user-oriented design system is participation. Many researchers have looked into system usability, design simplification and realistic visualisation to provide an immersive experience for users to engage the design. This paper argues how gamification acts as a form of decision support within a bigger framework model for a user-oriented digital design system. Using three levels of rules: constitutive rules, operational rules and implicit rules, the aim is for users to generate a housing design outcome not only for themselves but also collaboratively with other users through gamification.
keywords	gamification; user-oriented; digital intervention; decision support; mass housing
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	sigradi2018_1797
id	sigradi2018_1797
authors	Locatelli, Daniel; de Paula, Adalberto; Omena, Thiago Henrique; Lara, Arthur
year	2018
title	High-Low as expression of the Brazilian digital fabrication
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. 718-723
summary	This paper is the result of an investigation about the influence of digital processes in Design and its importance in innovation within ephemeral architecture through the concept of High-Low. The ephemeral architecture has the potential to combine academic and artistic knowledge to Brazilian commercial production. Here is presented one experimental case study designed to Expo Revestir for Docol in 2017 that balances the paradigm of computational design with the academic field and viable commercial applications.
keywords	High-Low; File-to-Factory; Ephemeral Architecture; Computational Design;
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2017_192
id	ecaade2017_192
authors	Pak, Burak and Ag-ukrikul, Chotima
year	2017
title	Participatory Evaluation of the Walkability of two Neighborhoods in Brussels - Human Sensors versus Space Syntax
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 553-560
doi	https://doi.org/10.52842/conf.ecaade.2017.2.553
summary	In this paper, we further develop and test a walkability evaluation method developed by the first author to understand two neighborhoods in Brussels. This method introduced alternative strategies and tools for enabling the evaluation of walkability and discussed how a structured collection of human experiences could lead to a social construct of walkability. In this study, following this method, we made a field survey with architecture students to measure the walkability of the two referenced neighborhoods. In addition, considering the close links of walkability with the physical layout and configuration, we made a Space Syntax analysis (visual integration and axial connectivity) and compared this with the walkability ratings made by the students. As a result, we found moderate to high correlations between the experiential evaluation of the students and the Space Syntax results. Besides establishing links between subjective and computational surveys, this study led to the conception of a web-based platform with a mobile app which integrates location-based experiential and computational evaluations of walkability.
keywords	Walkability; Human sensors; Experiential Knowledge; Field Survey; Space Syntax
series	eCAADe
email
last changed	2022/06/07 08:00

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