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	cf2019_010
id	cf2019_010
authors	Lorenz, Clara-Larissa; Bleil De Souza, Spaeth and Packianather
year	2019
title	Machine Learning in Design Exploration: An Investigation of the Sensitivities of ANN-based Daylight Predictions
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 75-87
summary	The use of Artificial Neural Networks (ANNs) promises greater efficiency in the assessment of daylight situations than simulations. With the daylight factor under scrutiny and the recent adaptation of climate-based daylight metrics in British and European buildings standards, ANNs provide a possibility for instantaneous feedback on otherwise time-consuming performance metrices. This study demonstrates the application of ANNs as prediction systems in design exploration. A specific focus of the research is the flexibility of ANNs, their reliability and sensitivity to changes.
keywords	Artificial neural networks, atria, climate-based daylight modeling, daylight autonomy, daylight performance, parametric design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_110
id	ecaadesigradi2019_110
authors	Bernal, Marcelo, Marshall, Tyrone, Okhoya, Victor, Chen, Cheney and Haymaker, John
year	2019
title	Parametric Analysis versus Intuition - Assessment of the effectiveness of design expertise
doi	https://doi.org/10.52842/conf.ecaade.2019.2.103
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 103-110
summary	This paper explores through professional case studies how design solutions produced by expert teams compares to those developed through systematic parametric analysis. While the expert intuition of either single designer or teams helps to rapidly identify relevant aspects of the design problem and produce viable solutions, it has limitation to address multi-criteria design problems with conflicting objectives and searching for design alternatives. On the other hand, parametric analysis techniques in combination with data analysis methods helps to construct and analyze large design spaces of potential design solutions. For the purpose of this study, the specifications of geometric features and material properties of the building envelopes proposed by the expert design teams define the base line to measure the extent of the performance improvements of two typically conflicting objectives: Daylight quality and energy consumption. The results show consistently significant performance improvement after systematic optimization.
keywords	Performance Analysis; Parametric Analysis; Design Space; Design Expertise; Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ijac201917106
id	ijac201917106
authors	Brown, Nathan C. and Caitlin T. Mueller
year	2019
title	Design variable analysis and generation for performance-based parametric modeling in architecture
source	International Journal of Architectural Computing vol. 17 - no. 1, 36-52
summary	Many architectural designers recognize the potential of parametric models as a worthwhile approach to performance- driven design. A variety of performance simulations are now possible within computational design environments, and the framework of design space exploration allows users to generate and navigate various possibilities while considering both qualitative and quantitative feedback. At the same time, it can be difficult to formulate a parametric design space in a way that leads to compelling solutions and does not limit flexibility. This article proposes and tests the extension of machine learning and data analysis techniques to early problem setup in order to interrogate, modify, relate, transform, and automatically generate design variables for architectural investigations. Through analysis of two case studies involving structure and daylight, this article demonstrates initial workflows for determining variable importance, finding overall control sliders that relate directly to performance and automatically generating meaningful variables for specific typologies.
keywords	Parametric design, design space formulation, data analysis, design variables, dimensionality reduction
series	journal
email
last changed	2019/08/07 14:04

_id	cf2019_002
id	cf2019_002
authors	De Luca, Francesco
year	2019
title	Environmental Performance-Driven Urban Design Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 21
summary	Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.
keywords	Daylight, Urban Comfort, Environmental Analysis, PerformanceDriven Urban Design, Parametric Design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_456
id	ecaadesigradi2019_456
authors	Pereira, In?s, Belém, Catarina and Leit?o, António
year	2019
title	Optimizing Exhibition Spaces - A Multi-Objective Approach
doi	https://doi.org/10.52842/conf.ecaade.2019.3.053
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 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 53-62
summary	Nowadays, there is a widespread awareness towards environmental issues. This is already visible in architecture by the increasing number of analysis tools that evaluate different performance criteria. However, the application of these tools is usually restricted to the final design stages, conditioning the implementation of design changes. Performance-Based Design (PBD) is an approach that addresses this limitation. Through PBD, architects integrate analysis tools since early design stages to make informed decisions regarding the performance of their designs. Since the success of PBD highly depends on the number of evaluations that can be performed, these approaches usually end up benefiting from Parametric Models (PMs), which facilitate the generation of a wide range of design variations, by simply changing the values of the parameters. Furthermore, in order to more efficiently achieve a PBD approach, architects can take advantage of the combination between PMs, analysis tools, and optimization processes. In this paper, we explore this combination to optimize an exhibition space regarding its daylight performance and the material cost of the new elements intended for that space.
keywords	Environmental Design; Algorithmic Design and Analysis; Performance-Based Design; Multi-Objective Optimization; Daylight Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	ecaade2023_52
id	ecaade2023_52
authors	Le, Thanh-Luan and Kim, Sung-Ah
year	2023
title	Game-based Platform for Daylight Analysis using Deep Learning
doi	https://doi.org/10.52842/conf.ecaade.2023.2.481
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 481–490
summary	Daylight analysis is not easy and requires skills in specific software and techniques and significant computation time. These skills are necessary for architecture education, but some students may find them challenging. For this reason, a software-free and simulation-free approach that quickly calculates daylight performance may be a more effective way for students to learn and practice architecture design. From these ideas, a game environment, which is familiar to the young generation, may enhance the excitement and engagement of education in this field. The development of a cubic builder game platform that utilizes the Deep Learning Model (DLM) to help users learn about daylight analysis within the game environment is currently underway. This paper presents the preliminary results of this study that focused on exploring methods for implementing and using DLM to predict daylight performance in a game environment. Using a drawing canvas, users can give design inputs in this environment. A framework involving three steps has been developed to combine data from the design and gaming environments. First, small-scale building models with specific design contexts and simulation data were created in Rhino and Grasshopper using LadyBugs and HoneyBee. Second, a DLM was trained on these data to make predictions. Last, developing the game environment with the well-trained DLM in Unity3D. Through analysis, the DLM's performance in game environments confirmed the potential of this approach. A building system will fully implement the game environment in future research. The DLM's predictive performance will be enhanced using more extensive and diverse data sets.
keywords	Daylight Simulation, Architecture Education, Game-based, Unity3D, Deep Learning
series	eCAADe
email
last changed	2023/12/10 10:49

_id	fc80
authors	Ubbelohde, S. and Humann, C.
year	1998
title	Comparative Evaluation of Four Daylighting Software Programs
source	1998 ACEEE Summer Study on Energy Efficiency in Buildings Proceedings. American Council for an Energy-Efficient Economy
summary	By the mid-1980's, a number of software packages were under development to predict daylighting performance in buildings, in particular illumination levels in daylighted spaces. An evaluation in 1988 by Ubbelohde et al. demonstrated that none of the software then available was capable of predicting the simplest of real daylighting designs. In the last ten years computer capabilities have evolved rapidly and we have four major packages widely available in the United States. This paper presents a comparative evaluation from the perspective of building and daylighting design practice. A contemporary building completed in 1993 was used as a base case for evaluation. We present the results from field measurements, software predictions and physical modeling as a basis for discussing the capabilities of the software packages in architectural design practice. We found the current software packages far more powerful and nuanced in their ability to predict daylight than previously. Some can accurately predict quantitative daylight performance under varying sky conditions and produce handsome and accurate visualizations of the space. The programs differ significantly, however, in their ease of use, modeling basis and the emphasis between quantitative predictions and visualization in the output.
series	other
last changed	2003/04/23 15:50

_id	ecaade2024_105
id	ecaade2024_105
authors	Wu, Zhaoji; Li, Mingkai; Liu, Wenli; Wang, Zhe; Cheng, Jack C.P.; Kwok, Helen H.L.
year	2024
title	A Data-Driven Model for Sustainable Performance Prediction of Residential Block Layout Design Using Graph Neural Network
doi	https://doi.org/10.52842/conf.ecaade.2024.1.575
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 575–584
summary	Performance evaluation plays a pivotal role in sustainable architectural design, guiding the design direction towards sustainable objectives. Building simulations based on physical modeling are commonly adopted for performance prediction, but the high computational cost hinders their applications in early design stages that require prompt feedback. Surrogate models have been proposed to emulate the expensive high-fidelity building simulation models using data-driven models. Several studies have been conducted to develop surrogate models for sustainable performance prediction of residential block layout design, but the features proposed by these studies were based on specific cases and cannot represent general residential block layout design. To overcome this gap, this study proposes a novel surrogate model for multi-objective sustainable performance prediction based on graph neural network (GNN), which can be adopted in practical early design stages of residential block layout design. First, a graph schema is proposed to represent the general topological relations among components in residential block layout design. Second, an architecture using graph attention network (GAT) is proposed for multiple sustainable performance predictions. Third, a dataset is established based on parametric design models of residential blocks and simulations of sustainable performance, including energy consumption, daylighting, and thermal comfort. Fourth, the proposed surrogate model using the proposed architecture are trained and fine-tuned to learn the relationship between the residential block design and sustainable performance. Finally, the proposed model is evaluated in terms of accuracy, comparing with benchmark models using graph convolutional network (GCN) and artificial neural network (ANN). The results show that the proposed model (GAT) outperforms the benchmark models (GCN and ANN). The proposed model can achieve a satisfactory accuracy with small CV(RMSE)s of 11.97%, 7.88% and 10.11% in terms of energy use intensity (EUI), annual comfort hour (ACH) and useful daylight illuminance (UDI) in the test dataset.
keywords	Surrogate model, Graph neural network, Building performance prediction, Sustainable building design, Residential block
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2023_38
id	caadria2023_38
authors	Xu, Qingru Mirah, Garcia del Castillo Lopez, Jose Luis and Samuelson, Holly Wasilowski
year	2023
title	Towards a Decision Framework Integrating Physics-Based Simulation and Machine Learning in Conceptual Design
doi	https://doi.org/10.52842/conf.caadria.2023.2.371
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 371–380
summary	Researchers have leveraged machine learning technologies and physics-based modelling and simulation techniques to generate fast predictions of factors relevant to building daylighting, energy use, and other performance metrics. However, in the current literature, there is no generalized method outlining the thought process behind whether to implement physics-based simulation, machine learning, or both methods. This paper first proposes a conceptual framework that identifies the considerations researchers might ask when developing their workflow. Second, it presents an example case study developed according to the framework. The case study used daylight simulation and parametric modelling software to generate synthetic data automatically to train a conditional generative adversarial framework. The model was hosted on an interactive web app allowing users to create their building designs and provide design performance metrics and improved design simultaneously.
keywords	Physic-based Modelling and Simulation, Physics-based Machine Learning, Early Design, Architecture, Research Development
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2019_413
id	caadria2019_413
authors	Ahrens, Chandler, Chamberlain, Roger, Mitchell, Scott, Barnstorff, Adam and Gelbard, Joshua
year	2019
title	Controlling Daylight Reflectance with Cyber-physical Systems
doi	https://doi.org/10.52842/conf.caadria.2019.1.433
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 433-442
summary	Cyber-physical systems increasingly inform and alter the perception of atmospheric conditions within interior environments. The Catoptric Surface research project uses computation and robotics to precisely control the location of reflected daylight through a building envelope to form an image-based pattern of light on the building interior's surfaces. In an attempt to amplify or reduce spatial perception, the daylighting reflected onto architectural surfaces within a built environment generates atmospheric effects. The modification of light patterns mapped onto existing or new surfaces enables the perception of space to not rely on form alone. The mapping of a new pattern that is independent of architectural surfaces creates a visual effect of a formless atmosphere and holds the potential to affect the way people interact with the space. People need different amounts and quality of daylight depending on physiological differences due to age or the types of tasks they perform. This research argues for an informed luminous and atmospheric environment that is relative both to the user and more conceptual architectural aspirations of spatial perception controlled by a cyber-physical robotic faÃ§ade system.
keywords	Contextual; Computation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	cf2019_037
id	cf2019_037
authors	Aljammaz, Mohammed ; Tsung-Hsien Wang and Chengzhi Peng
year	2019
title	The influence of Saudi Arabian culture on energy use: Improving the time-use schedules in energy simulation for houses in Riyadh
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 273-289
summary	Culture influences the way that people act and behave in all societies. In Saudi Arabia, culture and beliefs directly influence the lifestyle and behaviour of its citizens. Culture also impacts on energy usage of buildings, but this factor is often excluded from energy use simulations. A consequence of this is a mismatch between energy prediction and real energy usage. This paper demonstrates how a time-use data (TUD) model can be used to create a more realistic estimate of energy consumption in Saudi Arabia. TUD has been collected through a survey of 300 people living in Riyadh. The performance of the computational TUD model is cross-referenced with empirical data and the outcomes are used to discuss how the TUD model can be applied more effectively in energy use simulations.
keywords	time-use data, energy simulation, energy use prediction, load schedules, occupant behaviours,
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	ecaadesigradi2019_605
id	ecaadesigradi2019_605
authors	Andrade Zandavali, Bárbara and Jiménez García, Manuel
year	2019
title	Automated Brick Pattern Generator for Robotic Assembly using Machine Learning and Images
doi	https://doi.org/10.52842/conf.ecaade.2019.3.217
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 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 217-226
summary	Brickwork is the oldest construction method still in use. Digital technologies, in turn, enabled new methods of representation and automation for bricklaying. While automation explored different approaches, representation was limited to declarative methods, as parametric filling algorithms. Alternatively, this work proposes a framework for automated brickwork using a machine learning model based on image-to-image translation (Conditional Generative Adversarial Networks). The framework consists of creating a dataset, training a model for each bond, and converting the output images into vectorial data for robotic assembly. Criteria such as: reaching wall boundary accuracy, avoidance of unsupported bricks, and brick's position accuracy were individually evaluated for each bond. The results demonstrate that the proposed framework fulfils boundary filling and respects overall bonding structural rules. Size accuracy demonstrated inferior performance for the scale tested. The association of this method with 'self-calibrating' robots could overcome this problem and be easily implemented for on-site.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia19_222
id	acadia19_222
authors	Birol, Eda Begum; Lu, Yao; Sekkin, Ege; Johnson, Colby; Moy, David; Islam, Yaseen; Sabin, Jenny
year	2019
title	POLYBRICK 2.0
doi	https://doi.org/10.52842/conf.acadia.2019.222
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. 222-233
summary	Natural load bearing structures are characterized by aspects of specialized morphology, lightweight, adaptability, and a regenerative life cycle. PolyBrick 2.0 aims to learn from and apply these characteristics in the pursuit of revitalizing ceramic load bearing structures. For this, algorithmic design processes are employed, whose physical manifestations are realized through available clay/porcelain additive manufacturing technologies (AMTs). By integrating specialized expertise across disciplines of architecture, engineering, and material science, our team proposes an algorithmic toolset to generate PolyBrick geometries that can be applied to various architectural typologies. Additionally, comparative frameworks for digital and physical performance analyses are outlined. Responding to increasing urgencies of material efficiency and environmental sensibility, this project strives to provide for designers a toolset for environmentally responsive, case-specific design, characterized by the embedded control qualities derived from the bone and its adaptability to specific loading conditions. Various approaches to brick tessellation and assembly are proposed and architectural possibilities are presented. As an outcome of this research, PolyBrick 2.0 is effectively established as a Grasshopper plug-in, “PolyBrick” to be further explored by designers.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_555
id	ecaadesigradi2019_555
authors	Bomfim, Kyane and Tavares, Felipe
year	2019
title	Building facade optimization for maximizing the incident solar radiation
doi	https://doi.org/10.52842/conf.ecaade.2019.2.171
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 171-180
summary	The technological breakthrough on photovoltaic facades and the high potential for installing photovoltaic (PV) systems in the city of Salvador are the motivation for this article. This case study explores the feasibility of implementing solar energy technology on a building facade, proposing a design method for optimizing insolation performance by the form-finding process in a parameterized shape. The goal was to generate a parametric design workflow, in which it could be found some facade shapes, generating triangle and quadrilateral supporting grids, leading to better results in the total amount of radiation in comparison to the basic flat facade. In these supporting grids were evaluated also the fitting in the distribution of quadrilateral commercial PV cells, measuring its geometric compatibility. By the results, it could be verified the gains and losses in PV potential in several instances obtained by the form-finding process, as the potentials to consider this in the design of every building.
keywords	Radiation skydome; Shape parameterization; Form-finding; Genetic Algorithm; PV facade
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_628
id	ecaadesigradi2019_628
authors	Borunda, Luis, Ladron de Guevara, Manuel and Anaya, Jesus
year	2019
title	Design Method for Optimized Infills in Additive Manufacturing Thermoplastic Components
doi	https://doi.org/10.52842/conf.ecaade.2019.1.493
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. 493-502
summary	The following article extends and tests computational methodologies of design to consider Finite Element Analysis in the creation of optimized infill structures based on regular and semi-regular patterns that comply with the geometrical constraints of deposition. The Stress-Deformation relationship manifested in Finite Element Analysis is structured in order to influence the geometrical arrangement of the complex spatial infill. The research presents and discusses a program of performance informed infill design, and validates the generalizability of a method of internalizing and automating Finite Element Method (FEM) processing in Fused Deposition Modeling (FDM) workflows, and tests manufacturability of the methods through its ability to handle the FDM process constraints of FEM influenced intricate geometries.
keywords	Additive Manufacturing; Finite Element Analysis; Fused Deposition Modeling; 3D infill
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	cf2019_013
id	cf2019_013
authors	Boychenko, Kristina
year	2019
title	Agency of Interactive Architecture in socio-technological relationship through Actor-Network Theory
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 102
summary	With fast development of new technologies built environment transitioned from a silent background of activities performed by users to another participant of those activities. Agency of interactive architecture is based on interpretation of input data, like users’ actions, their response to the spatial agency, data from environment or other actors, and changing its performance accordingly. Architectural components, environmental conditions and people are all treated as agents and closely correspond to Actor-Network Theory (ANT). This theory generally aims to reveal the complexities of socio-technological world. ANT incorporates a principle of generalized symmetry, it means that human and nonhuman (artifacts, organization structures, etc.) actors are incorporated into the same conceptual framework and assigned equal level of agency. By analysis of the agency of Interactive Architecture through ANT the paper provides insight on social role of this new emerging type of space and its influence on other participants on socio-technological relationship.
keywords	Interactive architecture, Communication, Agency, Social, ActorNetwork Theory
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2019_328
id	caadria2019_328
authors	Boychenko, Kristina
year	2019
title	Agency of Interactive Space in Social Relationship
doi	https://doi.org/10.52842/conf.caadria.2019.2.381
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 381-390
summary	Embedded computation allows built space to be intelligent and get smarter, becoming interactive and gaining agency with ability not to merely adapt to changing conditions, but to process information and react, observe and learn, communicate and make decisions. The paper investigates agency of interactive space based on interpretation of input data, like users' response to the spatial agency, data from environment or other actors, and ability to change its performance accordingly. The research is focused on the role of interactive space as an active participant in social relationship communicating with users, constantly changing and having its' attitude. The research is aimed at defining social role of interactive environments and explains how they interact with users, what qualities are enabled by interactive behaviour and how do they influence space perception, revealing the significance of bi-directional communication between society and smart spaces. Interactive space does not just providing location for activities and facility for lifestyle, but influences these activities. Users and interactive space constitute one social network being constantly aware of each other establishing bi-directional communication.
keywords	interactive architecture; computation; programmable; design; social
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_202
id	ecaadesigradi2019_202
authors	Brasil, Alexander Lopes de Aquino and Franco, Juarez Moara Santos
year	2019
title	Customizing Mass Housing in Brazil: Introduction to an Integrated System
doi	https://doi.org/10.52842/conf.ecaade.2019.1.605
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. 605-612
summary	The current work presents an original parameterized wood frame system, a computational simulation of its structural performance and preliminary results of its digital fabrication and assemblage process. The project follows the concept of integration between CAD, CAE and CAM systems, aiming at the automation of the processes that make mass customization of social housing in Brazil practicable.
keywords	mass customization; social housing; parametric and algorithmic design; simulation, prediction, and evaluation; digital fabrication; building system
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_205
id	ecaadesigradi2019_205
authors	Campos, Filipe Medéia de, Leite, Raquel Magalh?es, Prudencio, Christina Figueiredo, Dias, Maíra Sebasti?o and Celani, Gabriela
year	2019
title	Prototyping a Facade Component - Mixed technologies applied to fabrication
doi	https://doi.org/10.52842/conf.ecaade.2019.1.179
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. 179-186
summary	During the last decade, mass customization in developing countries has been rising. The combination of conventional methods and materials with computer numeric control technologies offers a possibility of merging established craftsmanship to the production of personalized components with mass production efficiency. This article aims to present the development of a facade component prototype as a means to prospect possibilities for mixing parametric design and digital fabrication to casting, especially in developing countries like Brazil. This is an applied research with an exploratory and constructive approach, which was a result of a graduate class structured on a research by design basis. The conceptual development and prototyping of the artifact followed iterative cycles, considering its performance, fabrication methods and feasibility. The selection of materials that are commonly used in Brazilian architecture, like concrete, facilitates the component adoption as as a facade solution. The main conclusion emphasizes the need of involvement between academia and industry for the development of innovative products and processes, and highlights different levels of mass customization to include a range of manufacturing agents, from major industries to local craftspeople.
keywords	digital fabrication; mass customization; prototyping; facade component
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

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