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	ecaade2017_282
id	ecaade2017_282
authors	Ham, Jeremy, Kieferle, Joachim B. and Woessner, Uwe
year	2017
title	Exploring the Three Dimensional Spatiality of Polyrhythmic Drum Improvisation
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. 629-636
doi	https://doi.org/10.52842/conf.ecaade.2017.2.629
summary	This paper reports on creative practice design research founded on the translation of complex polyrhythmic digital drumming into the spatial domain. We outline four exercises in the use of drumming improvisation as a methodology for the spatialization of polyrhythmic drum improvisation; as static Spatial Drum Notation and representation as 3D models, artefacts and in Virtual Environments and live drumming performance inside a VR CAVE. These creative exercises bring forward concepts of affordance of musico-spatial representations, a theoretical 'musico-perspectival hinge' and the continuum of performance, notation and representation.
keywords	Music and Architecture; Drumming and Polyrhythm; Virtual Reality
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2017_113
id	caadria2017_113
authors	Huang, Weixin, Lin, Yuming and Wu, Mingbo
year	2017
title	Spatial-Temporal Behavior Analysis Using Big Data Acquired by Wi-Fi Indoor Positioning System
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. 745-754
doi	https://doi.org/10.52842/conf.caadria.2017.745
summary	Understanding of people's spatial behavior is fundamental to architectural and urban design. However, traditional investigation methods applied in environmental behavior studies is highly limited regarding the amount of samples and regions it covers, which is not sufficient for the exploration of complex dynamic human behaviors and social activities in architectural space. Only recently the developments in indoor positioning system (IPS) and big data analysis technique have made it possible to conduct a full-time, full-coverage study on human environmental behavior. Among the variety IPS systems, the Wi-Fi IPS system is increasingly widely used because it is easy to be applied with acceptable cost. In this paper, we analyzed a 60-days anonymized data set, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. The analysis revealed interesting patterns on people's behavior besides temporal spatial distribution, ranging from the cyclical fluctuation in human flow to behavioral patterns of sub-regions, some of which are not easy to be identified and interpreted by the traditional field observation. Through this case study, behavioral data from IPS system has exhibited great potential in bringing about profound changes in the study of environmental behavior.
keywords	environmental behavior study; Wi-Fi; indoor positioning system; big data; spatial temporal behavior; ski resort
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2017_059
id	ecaade2017_059
authors	Narangerel, Amartuvshin, Lee, Ji-Hyun and Stouffs, Rudi
year	2017
title	Thermal and Daylighting Optimization of Complex 3D Faceted Façade for Office Building
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. 209-218
doi	https://doi.org/10.52842/conf.ecaade.2017.1.209
summary	Conventional façade design and its impact on building energy as well as indoor comfort is a well-researched topic in the architecture field. This paper examines the potential of a complex 3D shaped building envelope, elaborating on previous work by implementing energy simulation within the building façade optimization process. The multi-objective optimizations are conducted considering total thermal energy, electricity generation through BIPV, and daylighting in generic single person office rooms under meteorological data of Korea and Singapore. The performance of the non-dominants is analyzed and the results show an improvement in all objectives comparing with the preliminary study.
keywords	Parametric facade design; muli-objective optimization; energy optimization; daylighting; form finding
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia17_82
id	acadia17_82
authors	Andreani, Stefano; Sayegh, Allen
year	2017
title	Augmented Urban Experiences: Technologically Enhanced Design Research Methods for Revealing Hidden Qualities of the Built Environment
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. 82-91
doi	https://doi.org/10.52842/conf.acadia.2017.082
summary	The built environment is a complex juxtaposition of static matter and dynamic flows, tangible objects and human experiences, physical realities and digital spaces. This paper offers an alternative understanding of those dichotomies by applying experimental design research strategies that combine objective quantification and subjective perception of urban contexts. The assumption is that layers of measurable datasets can be afforded with personal feedback to reveal "hidden" characteristics of cities. Drawing on studies from data and cognitive sciences, the proposed method allows us to analyze, quantify and visualize the individual experience of the built environment in relation to different urban qualities. By operating in between the scientific domain and the design realm, four design research experiments are presented. Leveraging augmenting and sensing technologies, these studies investigate: (1) urban attractors and user attention, employing eye-tracking technologies during walking; (2) urban proxemics and sensory experience, applying proximity sensors and EEG scanners in varying contexts; (3) urban mood and spatial perception, using mobile applications to merge tangible qualities and subjective feelings; and (4) urban vibe and paced dynamics, combining vibration sensing and observational data for studying city beats. This work demonstrates that, by adopting a multisensory and multidisciplinary approach, it is possible to gain a more human-centered, and perhaps novel understanding of the built environment. A lexicon of experimented urban situations may become a reference for studying different typologies of environments from the user experience, and provide a framework to support creative intuition for the development of more engaging, pleasant, and responsive spaces and places.
keywords	design methods; information processing; art and technology; hybrid practices
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_110
id	acadia17_110
authors	Arnowitz, Ethan; Morse, Christopher; Greenberg, Donald P.
year	2017
title	vSpline: Physical Design and the Perception of Scale in Virtual Reality
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. 110-117
doi	https://doi.org/10.52842/conf.acadia.2017.110
summary	Virtual reality provides a heightened sense of immersion and spatial awareness that provides a unique opportunity for designers to perceive and evaluate scale and space. At the same time, traditional sketches and small-size physical models provide tactile feedback that allow designers to create, comprehend, and explore complex geometric relationships. Through the development of vSpline, a modeling application for virtual reality, we explore the potential for design within a virtual spatial environment to blur the boundaries between digital and physical stages of design, and seek to combine the best of both virtual and analog worlds. By using spline-based closed meshes created directly in three-dimensional space, our software provides the capabilities to design, modify, and save the information in the virtual world and seamlessly convert the data to evaluate the printing of 3D physical models. We identify and discuss important questions that arise regarding relationships of perception of scale, digital-to-physical domains, and new methods of input and manipulation within a 3D immersive space.
keywords	design methods; information processing; hci; vr; ar; mixed reality; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
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. 138-145
doi	https://doi.org/10.52842/conf.acadia.2017.138
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_178
id	acadia17_178
authors	Charbel, Hadin; López, Déborah
year	2017
title	In(di)visible: Computing Immersive Environments through Hybrid Senses
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. 178-189
doi	https://doi.org/10.52842/conf.acadia.2017.178
summary	The research presented in this paper seeks to examine how architecture and computational tools can be used to communicate on multiple levels by incorporating a series of qualitative and quantitative measures as criteria for a spatial and architectural design. Air is taken as a material that has the capacity to create boundaries, yet unless under extreme conditions often remains invisible. Varying in qualities such as temperature, humidity and pollution, the status of air is highly local to a particular context. The research explores how rendering air visible through an architectural intervention made of networked sentient prototypes can be used in the reation of a responsive outdoor public space. Although humans' ability to perceive and respond to stimuli is highly advanced, it is nevertheless limited in its spectrum. Within the urban context specifically, the information, material and flux being produced is becoming ever more complex and incomprehensible. While computational tools, sensors and data are increasingly accessible, advancements in the fields of cognitive sciences and biometrics are unraveling how the mind and body works. These developments are explored in tandem and applied through a proposed methodology. The project aims to negotiate the similarities and differences between humans and machines with respect to the urban environment. The hypothesis is that doing so will create a rich output, irreducible to a singular reading while heightening user experience and emphasizing a sense of place.
keywords	design methods; information processing; hybrid practices; data visualization; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:55

_id	caadria2017_069
id	caadria2017_069
authors	Dritsas, Stylianos, Chen, Lujie and Sass, Lawrence
year	2017
title	Small 3D Printers / Large Scale Artifacts - Computation for Automated Spatial Lattice Design-to-Fabrication with Low Cost Linear Elements and 3D Printed 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. 821-830
doi	https://doi.org/10.52842/conf.caadria.2017.821
summary	The presented process enables users to design, fabricate and assemble spatial lattices comprised of linear stock materials such as round section timber, aluminum or acrylic dowels and complex 3D printed joints. The motivation for the development of this application is informed by the incredible availability of low cost 3D printers which enable anyone to produce small scale artifacts; deploying rapid prototyping to achieve larger scale artifacts than the machine's effective work envelope is a challenge for additive manufacturing; and the trend in the design computing world away highly technical specialized software towards general public applications.
keywords	Design Computation; Digital Fabrication; 3D Printing; Spatial Lattices; Design to Production
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia17_366
id	acadia17_366
authors	Lin, Yuming; Huang, Weixin
year	2017
title	Behavior Analysis and Individual Labeling Using Data from Wi-Fi IPS
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. 366- 373
doi	https://doi.org/10.52842/conf.acadia.2017.366
summary	It is fairly important for architects and urban designers to understand how different people interact with the environment. However, traditional investigation methods for studying environmental behavior are quite limited in their coverage of samples and regions, which are not sufficient to delve into the behavioral differences of people. Only recently, the development of indoor positioning systems (IPS) and data-mining techniques has made it possible to collect full-time, full-coverage data for behavioral difference research and individualized identification. In our research, the Wi-Fi IPS system is chosen among the various IPS systems as the data source due to its extensive applicability and acceptable cost. In this paper, we analyzed a 60-day anonymized dataset from a ski resort, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. Combining this with mobile phone data and questionnaires, we revealed some interesting characteristics of tourists from different origins through spatial-temporal behavioral data, and further conducted individual labeling through supervised learning. Through this case study, temporal-spatial behavioral data from an IPS system exhibited great potential in revealing individual characteristics besides exploring group differences, shedding light on the prospect of architectural space personalization.
keywords	design methods; information processing; data mining; big data
series	ACADIA
email
last changed	2022/06/07 07:59

_id	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
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. 474- 481
doi	https://doi.org/10.52842/conf.acadia.2017.474
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

_id	acadia17_72
id	acadia17_72
authors	Alfaiate, Pedro; Caetano, In?s; Leit?o, António
year	2017
title	Luna Moth: Supporting Creativity in the Cloud
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. 72-81
doi	https://doi.org/10.52842/conf.acadia.2017.072
summary	Algorithmic design allows architects to design using a programming-based approach. Current algorithmic design environments are based on existing computer-aided design applications or building information modeling applications, such as AutoCAD, Rhinoceros 3D, or Revit, which, due to their complexity, fail to give architects the immediate feedback they need to explore algorithmic design. In addition, they do not address the current trend of moving applications to the cloud to improve their availability. To address these problems, we propose a software architecture for an algorithmic design integrated development environment (IDE), based on web technologies, that is more interactive than competing algorithmic design IDEs. Besides providing an intuitive editing interface which facilitates programming tasks for architects, its performance can be an order of magnitude faster than current algorithmic design IDEs, thus supporting real-time feedback with more complex algorithmic design programs. Moreover, our solution also allows architects to export the generated model to their preferred computer-aided design applications. This results in an algorithmic design environment that is accessible from any computer, while offering an interactive editing environment that integrates into the architect’s workflow.
keywords	design methods; information processing; generative system; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:54

_id	cf2017_137
id	cf2017_137
authors	Ensari, Elif; Kobas, Bilge; Sucuo?lu, Can
year	2017
title	Computational Decision Support for an Airport Complex Roof Design: A Case Study of Evolutionary Optimization for Daylight Provision and Overheating Prevention
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 137-149.
summary	This study focuses on generating geometric design alternatives for an airport roof structure with an evolutionary design method based on optimizing solar heat gain and daylight levels. The method incorporates a parametric 3D model of the building, a multi objective genetic algorithm that was linked with the model to iteratively test for various geometric solutions, a custom module that was developed to simulate solar conditions, and external energy simulation environments that was used to validate the outcomes. The integral outcome was achieved through an iterative workflow of many software tools, and the study is significant in dealing with several space typologies at the same time, taking real-life constraints such as applicability, ease of operation, construction loads into consideration, and satisfying design and aesthetic requirements of the architectural design team.
keywords	Evolutionary algorithms, daylight and energy performance, multi-objective optimization
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ijac201715104
id	ijac201715104
authors	Matalucci, Berardo; Kenton Phillips, Alicia A Walf, Anna Dyson and Joshua Draper
year	2017
title	An experimental design framework for the personalization of indoor microclimates through feedback loops between responsive thermal systems and occupant biometrics
source	International Journal of Architectural Computing vol. 15 - no. 1, 54-69
summary	How can building technologies accommodate different and often conflicting user preferences without dissolving the social cohesiveness, intrinsic of every architectural intervention? Individual thermal comfort has often been considered a negligible sensorial experience by modern heating and cooling technologies, and is often influenced by large-group norms. Alternatively, we propose that buildings are repositories of indoor microclimates that can be realized to provide personalized comfort, to create healthier environments, and to enhance the attributes of architectural interventions into haptic dimensions. In response, the goal of this study is to characterize an experimental framework that integrates responsive thermal systems with occupants’ direct and indirect experience, which includes stress response and biometric data. A computational model was used up to inform and analyze thermal perception of subjects, and later tested in a responsive physical installation. While results show that thermal comfort assessment is affected by individual differences including cognitive functions and biometrics, further computational efforts are needed to validate biometric indicators. Finally, the implications of personalized built environments are discussed with respect to future technology developments and possibilities of design driven by biometric data.
keywords	Personalized thermal comfort, interactive building technologies, bio-feedback loops, indoor microclimates
series	other
type	normal paper
email
last changed	2019/08/02 08:28

_id	ecaade2017_243
id	ecaade2017_243
authors	Schwartz, Mathew and Zarzycki, Andrzej
year	2017
title	The Effect of Building Materials on LIDAR Measurements
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. 269-276
doi	https://doi.org/10.52842/conf.ecaade.2017.2.269
summary	This paper uses a Light Detection and Ranging (LIDAR) device with multiple building materials to provide guidance for developing an autonomous robotics-friendly environment. The results demonstrate various materials that not only provide missing data, such as for clear glass, but also can provide inaccurate data, a dangerous situation in the context of indoor autonomous mobility. Finally, the paper proposes ideas for how designers can compromise between the materials they would like to use while facilitating the necessary information for an autonomous vehicle.
keywords	Smart City; Autonomous Navigation; Indoor Navigation; Personal Mobility
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ijac201715106
id	ijac201715106
authors	Cardoso Llach, Daniel; Ardavan Bidgoli and Shokofeh Darbari
year	2017
title	Assisted automation: Three learning experiences in architectural robotics
source	International Journal of Architectural Computing vol. 15 - no. 1, 87-102
summary	Fueled by long-standing dreams of both material efficiency and aesthetic liberation, robots have become part of mainstream architectural discourses, raising the question: How may we nurture an ethos of visual, tactile, and spatial exploration in technologies that epitomize the legacies of industrial automation—for example, the pursuit of managerial efficiency, control, and an ever-finer subdivision of labor? Reviewing and extending a growing body of research on architectural robotics pedagogy, and bridging a constructionist tradition of design education with recent studies of science and technology, this article offers both a conceptual framework and concrete strategies to incorporate robots into architectural design education in ways that foster a spirit of exploration and discovery, which is key to learning creative design. Through reflective accounts of three learning experiences, we introduce the notions “assisted automation” and “robotic embodiment” as devices to enrich current approaches to robot–human design, highlighting situated and embodied aspects of designing with robotic machines.
keywords	Design education, architectural robotics, computational design, robot–human collaboration, studies of science and technology
series	other
type	normal paper
email
last changed	2019/08/02 08:28

_id	ecaade2017_027
id	ecaade2017_027
authors	Carl, Timo, Schein, Markus and Stepper, Frank
year	2017
title	Sun Shades - About Designing Adaptable Solar Facades
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. 165-174
doi	https://doi.org/10.52842/conf.ecaade.2017.2.165
summary	External shading structures are a well-established typology for reducing solar heat loads. A major disadvantage is their inflexible nature, blocking views from inside and desired solar radiation for seasons with less sunshine hours. An adaptive approach on the other end can accommodate dynamic environmental exchange and user control. Furthermore, kinetic movement has great potential to create expressive spatial structures. However, such typologies are inherently complex. This paper presents the design process for two novel adaptive façade typologies, conducted on an experimental level in an educational context. Moreover, we will discuss the conception of a suitable methodological framework, which we applied to engage the complexity of this design task. Thereby we will highlight the importance of employing various methods, combining analogue and computational models not in a linear sequence, but rather in an overlapping, iterative way to create an innovation friendly design setting. The Sun Shades project offers insight into the relationships between design potentials inherent in adaptable structures and the advantages and limitation of computational methods employed to tackle them.
keywords	computational design methodology; performance-based design; associative geometry modelling; solar simulation; physical form-finding; design theory
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_061
id	ecaade2017_061
authors	Castellari, Dario and Erioli, Alessio
year	2017
title	Hydroassemblies - Unit-based system for the symbiosis of urban spaces and greeneries through hydraulic driven tectonics
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. 661-670
doi	https://doi.org/10.52842/conf.ecaade.2017.1.661
summary	Hydroassemblies is a research thesis that investigates the architectural potential of a unit-based modular system that can recursively grow in space guided by hydrodynamic principles in order to generate intricate tectonic assemblies, integrating the roles of spatial articulator, water collector/distributor and plant cultivation substrate to foster a symbiotic relation with the urban environment. By implementing principles of circulatory systems in biology, the authors developed a system that grows through recursive formation of loops and articulates its tectonic via a continuous, interconnected branching network. The founding process improves upon a combinatorial algorithm of discrete parts, considering how iterative interactions at the local level have a feedback impact on the growth process at the whole system scale. The paper explores how features, spatial and perceptive qualities, affordances and opportunities emerge at the global scale of the formation from the interplay of local behavioral principles and environmental conditions. The provided implementation is a proof of concept of the production of complex qualities by means of massive quantities of simple elements and interactions.
keywords	tectonics; combinatorics; unit-based system; branching network
series	eCAADe
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	acadia17_202
id	acadia17_202
authors	Cupkova, Dana; Promoppatum, Patcharapit
year	2017
title	Modulating Thermal Mass Behavior Through Surface Figuration
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. 202-211
doi	https://doi.org/10.52842/conf.acadia.2017.202
summary	This research builds upon a previous body of work focused on the relationship between surface geometry and heat transfer coefficients in thermal mass passive systems. It argues for the design of passive systems with higher fidelity to multivariable space between performance and perception. Rooted in the combination of form and matter, the intention is to instrumentalize design principles for the choreography of thermal gradients between buildings and their environment from experiential, spatial and topological perspectives (Figure 1). Our work is built upon the premise that complex geometries can be used to improve both the aesthetic and thermodynamic performance of passive building systems (Cupkova and Azel 2015) by actuating thermal performance through geometric parameters primarily due to convection. Currently, the engineering-oriented approach to the design of thermal mass relies on averaged thermal calculations (Holman 2002), which do not adequately describe the nuanced differences that can be produced by complex three-dimensional geometries of passive thermal mass systems. Using a combination of computational fluid dynamic simulations with physically measured data, we investigate the relationship of heat transfer coefficients related to parameters of surface geometry. Our measured results suggest that we can deliberately and significantly delay heat absorption re-radiation purely by changing the geometric surface pattern over the same thermal mass. The goal of this work is to offer designers a more robust rule set for understanding approximate thermal lag behaviors of complex geometric systems, with a focus on the design of geometric properties rather than complex thermal calculations.
keywords	design methods; information processing; physics; smart materials
series	ACADIA
email
last changed	2022/06/07 07:56

_id	ecaade2017_142
id	ecaade2017_142
authors	Gönenç Sorguç, Arzu, Kruºa Yemiºcio?lu, Müge, Özgenel, Ça?lar F?rat, Katipo?lu, Mert Ozan and Rasulzade, Ramin
year	2017
title	The Role of VR as a New Game Changer in Computational Design Education
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. 401-408
doi	https://doi.org/10.52842/conf.ecaade.2017.1.401.2
summary	With the rapid advances in technology, virtual reality(VR) re-emerged as an affordable technology providing new potentials for virtual learning environments(VLE). Within the scope of this study, firstly a general perspective on potentials of VR to create an appropriate VLE is put forward regarding the potentials related with learning modalities. Then, VR as a VLE in architectural education is discussed and utilization of VR is revisited considering the fundamentals of education as how to enhance skills regarding creativity, furnish students to adopt future skills and how VR can be used to enhance design understanding as well as space perception and spatial relations. It is deliberated that instead of mirroring the real spaces, allowing students to understand the virtuality with its own constituents will broaden the understanding of space, spatial relations, scale, motion, and time both in physical and virtual. The dichotomy between physical and virtual materiality, the potentials and pitfalls in the process of transformation from real/physical to virtual - virtual to real/physical are discussed in relation with the student projects designed in the scope of Digital Design Studio course in Middle East Technical University. It is also shown that VR stimulates different learning modalities especially kinesthetic modality and helping students to develop creativity and metacognition about space and spatial relations.
keywords	computational design education; virtual reality; digital tools; virtual learning environment
series	eCAADe
email
last changed	2022/06/07 07:50

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