Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2018_046
id	caadria2018_046
authors	Lu, Siliang and Cochran Hameen, Erica
year	2018
title	Integrated IR Vision Sensor for Online Clothing Insulation Measurement
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. 565-573
doi	https://doi.org/10.52842/conf.caadria.2018.1.565
summary	As one of the most important building systems, HVAC plays a key role in creating a comfortable thermal environment. Predicted Mean Vote (PMV), an index that predicts the mean value of the votes of a large group of persons on the thermal sensation scale, has been adopted to evaluate the built environment. Compared to environmental factors, clothing insulation can be much harder to measure in the field. The existing research on real-time clothing insulation measurement mainly focuses on expensive infrared thermography (IR) cameras. Therefore, to ensure cost-effectiveness, the paper has proposed a solution consisting of a normal camera, IR and air temperature sensors and Arduino Nanos to measure clothing insulation in real-time. Moreover, the algorithm includes the initialization from clothing classification with pre-trained neural network and optimization of the clothing insulation calculation. A total of 8 tests have been conducted with garments for spring/fall, summer and winter. The current results have shown the accuracy of T-shirt classification can reach over 90%. Moreover, compared with the results with IR cameras and reference values, the accuracies of the proposed sensing system vary with different clothing types. Research shall be further conducted and be applied into the dynamic PMV-based HVAC control system.
keywords	clothing insulation; skin temperature; clothing classification; IR temperature sensor; Optimization
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_083
id	caadria2018_083
authors	Luo, Dan, Wang, Jinsong and Xu, Weiguo
year	2018
title	Robotic Automatic Generation of Performance Model for Non-Uniform Linear Material via Deep Learning
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. 39-48
doi	https://doi.org/10.52842/conf.caadria.2018.1.039
summary	In the following research, a systematic approach is developed to generate an experiment-based performance model that computes and customizes properties of non-uniform linear materials to accommodate the form of designated curve under bending and natural force. In this case, the test subject is an elastomer strip of non-uniform sections. A novel solution is provided to obtain sufficient training data required for deep learning with an automatic material testing mechanism combining robotic arm automation and image recognition. The collected training data are fed into a deep combination of neural networks to generate a material performance model. Unlike most traditional performance models that are only able to simulate the final form from the properties and initial conditions of the given materials, the trained neural network offers a two-way performance model that is also able to compute appropriate material properties of non-uniform materials from target curves. This network achieves complex forms with minimal and effective programmed materials with complicated nonlinear properties and behaving under natural forces.
keywords	Material performance model; Deep Learning; Robotic automation; Material computation; Neural network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaaderis2023_11
id	ecaaderis2023_11
authors	Sepúlveda, Abel, Eslamirad, Nasim, Seyed Salehi, Seyed Shahabaldin, Thalfeldt, Martin and De Luca, Francesco
year	2023
title	Machine Learning-based Optimization Design Workflow based on Obstruction Angles for Building Facades
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 15–24
summary	This paper proposes a ML-based optimization design workflow based on obstruction angles for the optimization of building facades (i.e. g-value and window width). The optimization output consists of the optimal clustering of windows in order to ensure a desired level of daylight provision according to method 2 defined in the EN17307:2018 (i.e. based on Spatial Daylight Autonomy: sDA) and to not exceed a maximum level of specific cooling capacity (SCC). The independent variables or design parameters of the parametric model are: room orientation/dimensions, window dimensions, and obstruction angle (??). The ML prediction models were trained and tested with reliable simulation results using validate softwares. The total number of room combinations is 61440 for sDA and SCC simulations. The development of reliable (90% of right predictions) ML predictive models based on decision tree technique were calibrated. The optimal clustering of windows was done first by floors and secondly by the designer’s need to homogenize the external facade with similar glazing properties and window sizes, having impact on the annual heating consumption. The proposed method help designers to make accurate and faster design decisions during early design stages and renovation plans.
keywords	optimization, daylight, thermal comfort, cooling capacity, machine-learning predictive model, office buildings, cold climates
series	eCAADe
email
last changed	2024/02/05 14:28

_id	ecaade2018_170
id	ecaade2018_170
authors	Shahsavari, Fatemeh, Koosha, Rasool, Vahid, Milad R., Yan, Wei and Clayton, Mark
year	2018
title	Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making - A Probabilistic Model and Applications
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. 295-304
doi	https://doi.org/10.52842/conf.ecaade.2018.1.295
summary	To this day, proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants' behavior, and degradation of material properties over the time- remains as a primary challenge in an architectural design decision-making process. For many years, conventional methods based on the architects' intuition have been used as a standard approach dealing with uncertainties and estimating the resulting errors. However, with buildings reaching great complexity in both their design and material selections, conventional approaches come short to account for ever-existing but unpredictable uncertainties and prove incapable of meeting the growing demand for precise and reliable predictions. This study aims to develop a probability-based framework and associated prototypes to employ uncertainty analysis and sensitivity analysis in architectural design decision-making. The current research explores an advanced physical model for thermal energy exchange characteristics of a hypothetical building and uses it as a test case to demonstrate the proposed probability-based analysis framework. The proposed framework provides a means to employ uncertainty and sensitivity analysis to improve reliability and effectiveness in a buildings design decision-making process.
keywords	Probability-based design decision; uncertainty analysis; sensitivity analysis; building energy consumption model
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_101
id	ecaadesigradi2019_101
authors	Tebaldi, Isadora, Henriques, Gonçalo Castro and Passaro, Andres Martin
year	2019
title	A Generative System for the Terrain Vague - Transcarioca Bus Expressway in Rio de Janeiro
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 35-44
doi	https://doi.org/10.52842/conf.ecaade.2019.1.035
summary	The transport infrastructures are important elements in the cities, but, as there is a lack of planning, they tear through the urban fabric and leave empty spaces. Due to government and private disinterest, these spaces become vacant, forgotten and degraded. However, these extensive Terrain Vague offer new potential for urban use. To exploit this potential, we need methodologies that can offer personalised, extensive, feasible urban solutions. For this, we propose a computational generative system, following a 4-step methodology: 1) Site analyses and Terrain Vague identification; 2) Site classification according to parameters based on a "visual grammar"; 3) Algorithm associating space properties with geometric transformation to generate solutions: namely transformative operations in public spaces, additive transformations in semi-public spaces and subtractive operations in semi-private spaces; 4) Solution evaluation and development, according to shade criteria, spatial hierarchy and volumetric density. With our own algorithms combined with genetic algorithms, we guided the evolution of 50 volumetric solutions. The exponential increase in information requires new methodologies (Schwab, 2018). Results show the potential of computational methodologies to produce extensive urban solutions. This research, developed in a final graduation project in Architecture, aims at stimulating generative methodologies in undergraduate courses.
keywords	Terrain Vague; generative systems; parametric urbanism; genetic algorithms
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	sigradi2018_1353
id	sigradi2018_1353
authors	Verissimo, Cristina
year	2018
title	Cork: New uses in 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. 9780-984
summary	Cork usage is one of the most promising trends in sustainable development of materials, due to its unique natural properties, exceptionally good environmental qualities and its high potential to incorporate innovative technology. It can be reused, and it is built with renewable and reusable materials that contain lower levels of embedded energy and carbon. Today amongst other uses we see cork used as a textile for clothing, in automobile parts, and as a thermal shield in space crafts. However, there is still a lack of information and diffusion within the engineering and architecture sectors; stakeholders lack awareness of how to use and select cork materials for construction, compared with other competing products. This research plans to explore future cork industry developments, cork recycling and new cork-based materials, which are still in various stages of development with enormous potential for construction as an eco-friendly solution. The aim is to test or adapt them to be used in construction, with an emphasis in CAD/CAM fabrication processes. Hoping that in the future there will be greater application in architecture and eventually will contribute to greater sustainability in the construction business as well as the cork sector.
keywords	Cork; Sustainable material; Materials engineers design; Architecture; Culture
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	caadria2018_243
id	caadria2018_243
authors	Yin, Shi and Xiao, Yiqiang
year	2018
title	Research on the Impact of Traditional Urban Geometry on Outdoor Thermal Environment - Case Study of Neighbourhoods with Arcade Street in South China
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. 503-512
doi	https://doi.org/10.52842/conf.caadria.2018.2.503
summary	With the deterioration of urban environment gradually in these decades, the demand for improving the outdoor thermal environment is increasing. The traditional architecture and urban planning contain abundant climate responding strategy, while current studies about it are still insufficient. Furthermore, many researches had profound results on how different urban design parameters would impact outdoor thermal comfort, but only a few of them could achieve an effective transformation into a practical scenario. Thus, this paper attempts to present the impact of different traditional urban form, which is extracted from different neighborhoods with arcade street in south China, on the outdoor thermal environment, through field measurements and climatic simulation with Envi-met. Moreover, these different complex urban forms were transferred into a simplified form with uniform character and simulating based on the same boundary condition. Comparing the SVF (Sky View Factor) and PET (Physiological Equivalent Temperature) of each point, the organic urban form would lead better thermal environment than others on the main road. On the other hand, the SVF of a point is not the only one aspect of its PET, which related with the form of urban geometry as well.
keywords	Climate Responsive Urban Design; Traditional Arcade-Street Neighborhood; Urban Geometry; Outdoor Thermal Comfort
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	sigradi2018_1806
id	sigradi2018_1806
authors	Barbosa Cabral, Sthefane Adrielly; Alejandro Nome, Carlos; Queiroz, Natália
year	2018
title	Pilot study of numerical modeling tool to evaluate the thermal performance of walls according to Brazilian standards
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. 286-293
summary	The paper discusses a numerical modeling tool to evaluate thermal performance of building envelope according to Brazilian NBR15.220 and NBR 15.575 standards. Contemporary integrated design processes require the development of early design stage decision support mechanisms in order to optimize building performance. The development of the proposed tool focused on early stage decisions on building envelope design and integrating tool usability in the design process. Results indicate that the proposed tool provides basis for decision making that respond to Brazilian standards previously disregarded by participants. Also indicate improved understanding on parameters that affect building envelope thermal performance.
keywords	Thermal performance, Numeric modeling tool, Building envelope, Evidence Based Design
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia18_244
id	acadia18_244
authors	Belanger, Zackery; McGee, Wes; Newell, Catie
year	2018
title	Slumped Glass: Auxetics and Acoustics
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 244-249
doi	https://doi.org/10.52842/conf.acadia.2018.244
summary	This research investigates the effect of curvature, at a variety of scales, on the acoustic properties of glass. Plate glass, which has predictable and uniform acoustically reflective behavior, can be formed into curved surfaces through a combination of parametrically-driven auxetic pattern generation, CNC water-jet cutting, and controlled heat forming. When curved, plate glass becomes “activated” and complex acoustically-diffusive behavior emerges. The parametrically-driven auxetic perforation pattern allows the curvature to be altered and controlled across a formed pane of glass, and a correlation is demonstrated between the level of curvature and the extent of acoustically diffusive behavior. Beyond individual panels, curved panes can be aggregated to extend acoustic influence to the entire interior room condition, and the pace at which acoustic energy is distributed can be controlled. In this work the parameters surrounding the controlled slumping of glass are described, and room-sized formal and acoustic effects are studied using wave-based acoustic simulation techniques. This paper discusses the early stages of work in progress.
keywords	work in progress, materials and adaptive systems, performance and simulation, digital fabrication
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_405
id	ecaade2018_405
authors	Belém, Catarina and Leit?o, António
year	2018
title	From Design to Optimized Design - An algorithmic-based approach
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. 549-558
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
summary	Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords	Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2018_1389
id	sigradi2018_1389
authors	Capone, Mara; Lanzara, Emanuela
year	2018
title	Kerf bending: ruled double curved surfaces manufacturing
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. 653-660
summary	Knowledge of geometric properties of surfaces is crucial for resolution of many manufacturing problems. Developability is an important feature of a surface that allows its manufacture from a flat "strip" of a "flexible" and "non-deformable" material. Digital fabrication technologies and parametric design tools, based on knowledge of geometry, are changing designer way to think. Our research in the field of non-developable surfaces fabrication move from paneling to "kerfing". This technique allows to transform a rigid material in a flexible one. The main problem to solve is how to cut the flat shape to obtain the design surface.
keywords	Non-developable surfaces; Developable surfaces; Shape grammar; Parametric design; Kerfing
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	sigradi2018_1363
id	sigradi2018_1363
authors	Chiarella, Mauro; Martini, Sebastian; Dalla Costa, Matías; Veizaga, Martín
year	2018
title	Makers experiences: Upcycling, interfaces and reactive devices in Industrial Design
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. 1220-1226
summary	The Maker culture emphasizes collaborative learning and distributed knowledge. Expands exponentially the multiplicity of resources and possible processes. Finding effective and efficient ways to use them to develop predictive models that focus decision-making towards performance-oriented designs is the new challenge. Through the application of didactic strategies of problem-based learning will analyze five experiences of the degree of Industrial Design, Course IMD, National University of the Littoral based on logic of personalized manufacturing, augmented graphic thinking and collective creation.
keywords	Crowthinking; Upcycling; Arduino; Visual programming
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2018_181
id	caadria2018_181
authors	Chun, Junho, Lee, Juhun and Park, Daekwon
year	2018
title	TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 205-214
doi	https://doi.org/10.52842/conf.caadria.2018.1.205
summary	Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords	Topology optimization; parametric design; 3d printing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2018_1879
id	sigradi2018_1879
authors	Danesh Zand, Foroozan; Baghi, Ali; Kalantari, Saleh
year	2018
title	Digitally Fabricating Expandable Steel Structures Using Kirigami Patterns
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. 724-731
summary	This article presents a computational approach to generating architectural forms for large spanning structures based on a “paper-cutting” technique. In this traditional artform, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. To make these types of expandable structures feasible at an architectural scale, four challenges had to be met during the research. The first was to map the kinetic properties of a paper-cut model, investigating formative parameters such as the width and frequency of cuts to determine how they affect the resulting structure. The second challenge was to computationally simulate the paper-cut structure in an accurate fashion. We accomplished this task using finite element analysis in the Ansys software platform. The third challenge was to create a prediction model that could precisely forecast the characteristics of a paper-cutting pattern. We made significant strides in this demanding task by using a data-mining approach and regression analysis through 400 simulations of various cutting patterns. The final challenge was to verify the efficiency and accuracy of our prediction model, which we accomplished through a series of physical prototypes. Our resulting computational paper-cutting system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach.
keywords	Transformable Paper-cut; Design method; Prediction Model; Regression analysis; Physical prototype
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_344
id	ecaade2018_344
authors	El-Gewely, Noor, Wong, Christopher, Tayefi, Lili, Markopoulou, Areti, Chronis, Angelos and Dubor, Alexandre
year	2018
title	Programming Material Intelligence Using Food Waste Deposition to Trigger Automatic Three-Dimensional Formation Response in Bioplastics
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. 271-278
doi	https://doi.org/10.52842/conf.ecaade.2018.2.271
summary	Bioplastics are by their very nature parametric materials, programmable through the selection of constituent components and the ratios in which they appear, and as such present significant potential as architectural building materials for reasons beyond sustainability and biodegradability. This paper presents a system through which rigid three-dimensional doubly curved hyperbolic paraboloid shapes are automatically formed from two-dimensional sheet casts by harnessing the inherent flexibility and expressiveness of bioplastics. The system uses a gelatin-based bioplastic supplemented with granular organic matter from food waste in conjunction with a split-frame casting system that enables the self-formation of three-dimensional geometries by directing the force of the bioplastic's uniform contraction as it dries. By adjusting the food waste added to the bioplastic, its properties can be tuned according to formal and performative needs; here, dehydrated granulated orange peel and dehydrated spent espresso-ground coffee are used both to impart their inherent characteristics and also to influence the degree of curvature of the resulting bioplastic surfaces. Multi-material casts incorporating both orange peel bioplastic and coffee grounds bioplastic are shown to exert a greater influence over the degree of curvature than either bioplastic alone, and skeletonized panels are shown to exhibit the same behavior as their solid counterparts. Potential developments of the technology so as to gain greater control of the curvature performance, particularly in the direction of computer-controlled additive manufacturing, are considered, as is the potential of application in architectural scale.
keywords	Bioplastics; Composites; Fabrication; Materials
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_297
id	ecaade2018_297
authors	Elesawy, Amr, Caranovic, Stefan, Zarb, Justin, Jayathissa, Prageeth and Schlueter, Arno
year	2018
title	HIVE Parametric Tool - A simplified energy simulation tool for educating architecture students
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. 657-666
doi	https://doi.org/10.52842/conf.ecaade.2018.1.657
summary	This paper presents HIVE, a new open source design toolbox, which focuses on teaching concepts of Energy and Climate Systems integration in buildings. .The aim is to empower architecture students to integrate aspects of energy efficiency during the architectural design process. The tool employs a simplified input format designed for ease of use and provides almost instantaneous, direct feedback to support students of all experience levels in the early, conceptual building design stages, where numerous iterations need to be conducted efficiently within a short period of time.The project aims to create a robust toolbox that will become an innovative reference in architecture and engineering - lectures, design studios, and project-based learning - through its capacity to quickly, and effectively, translate building energy systems concepts into graphic formats central to building design teaching and practice. The fast feedback that the users receive to their design parameters changes will enable an effective and quick build-up of tacit knowledge about building energy systems, complementary to the explicit, theoretical knowledge that is usually taught in courses, thus creating a more complete learning experience.
keywords	Building Simulation; Low-energy architecture; Integrated curriculum; PV Assessment; Simplified GUI; Architecture Education
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_425
id	ecaade2018_425
authors	Foged, Isak Worre and Jensen, Mads Brath
year	2018
title	Thermal Compositions Through Robot Based Thermal Mass Distribution
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. 783-790
doi	https://doi.org/10.52842/conf.ecaade.2018.1.783
summary	This work develops, implement and test a method and model for the distribution of material in relation to thermal performances through robot based extrusion of concrete. The aim is to suggest a way for architecture to use advanced fabrication techniques towards environmental passive strategies, which potentially decrease a buildings operative energy budget, while creating articulated thermal sensations for humans. Through computational, material and design explorations, by prototypes and a final demonstrator, the work proposes how thermal mass can be organized both in terms of its robot based successive fabrication based layering and as an approach to generate an assembly of thermal based building blocks into architectural structures.
keywords	Robot based concrete extrusion; Thermal Architecture; Simulation; Demonstrator
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_145
id	ecaade2018_145
authors	Fukuda, Tomohiro, Zhu, Yuehan and Yabuki, Nobuyoshi
year	2018
title	Point Cloud Stream on Spatial Mixed Reality - Toward Telepresence in Architectural Field
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. 727-734
doi	https://doi.org/10.52842/conf.ecaade.2018.2.727
summary	In remote meetings that involve the study of buildings and cities, sharing three-dimensional (3D) virtual spatial of buildings and cities is just as necessary as sharing the appearances and voices of meeting participants. Because of this, system development and pilot projects have attempted to share 3D virtual models via the internet in real-time but is still insufficient compared with face-to-face meeting. Therefore, this research explores the applicability of a spatial mixed reality (MR) system that displays point cloud streams to realize 3D remote meeting in architecture and urban fields. MR is a new technology that enables 3D presentations of various information, combining the physical and virtual worlds. One MR method is telepresence, which is expected to give people a way to communicate remotely as if face to face in a realistic way. We first developed a MR system named PcsMR (Point cloud stream on mixed reality) to display point cloud streams. The PcsMR system's operation consists of generating and transferring a point cloud stream and then rendering a point cloud stream using MR. The PcsMR acquired the point cloud stream in real-time using Kinect for Windows v2 and transferred it to Microsoft HoloLens, which uses optical see-through MR. Then we constructed two prototypes based on PcsMR and carried out pilot projects. Through observing the experiments, application possibilities for architecture and urban fields are found in meetings and communications that share real-time 3D objects and include the movement of remote participants and objects. The proposed method was evaluated feasible and effective.
keywords	Telepresence; Mixed reality; Point cloud stream; Remote meeting; Real time
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaaderis2018_116
id	ecaaderis2018_116
authors	Giannopoulou, Effimia, Montás Laracuente, Nelson Bernardo and Baquero, Pablo
year	2018
title	Qualitative Study on two Kinetic System Simulations - Experiments Based on Shape Memory Material and Stepper Motors
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 95-102
keywords	This investigation intends to compare two computational design experiments operating on two kinetic architecture (Zuk and Clark 1970) design application domains: Shape-memory material (SMM) activated grids and stepper-actuated (SA) responsive skins. In the first one, the goal was to build a standard way of simulating SMM, which can be used as actuators in the construction of kinetic structures and in the second, to simulate and construct a responsive skin according to human interaction using kinect and stepper motors. In both experiments, a similar generative workflow was employed, combining insights from materials and mechanical systems. The objective is to investigate kinetic performance, kinetic design methodology, simulation implementation and applications within the two separate design domains. The general hypothesis is that both experiments become design workflows in themselves as real-time, dynamic modeling systems. A qualitatively study of both sets of cases, is taking in count general, simulation and application aspects, using evaluation criteria including workflow, material quantity, data capture and mechanical properties.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

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