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_052
id	caadria2018_052
authors	Fung, Enrica and Crolla, Kristof
year	2018
title	Choreographed Architecture - Body-Spatial Exploration
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. 101-110
doi	https://doi.org/10.52842/conf.caadria.2018.1.101
summary	This paper presents a design-methodological case study that looks into the practical expansion of conventional conceptual architectural design media by incorporating contemporary technology of motion capture. It discusses challenges of integrating dance movement as a real-time input parameter for architectural design that aims at translating body motion into space. The paper consists of four parts, beginning with a historic background overview of scientists, physiologists, artists, choreographers, and architects who have attempted capturing body motion and turning the motion into space. The second part of the paper discusses the iterative development of the 'Dance Machine' as a methodological tool for the integration of motion capture into conceptual architectural design. Thirdly, the paper discusses tested design applications of the 'Dance Machine' by looking at two sited applications. Finally, the overall methodology is critically assessed and discussed in the light of continuous development of creative applications of motion capturing technology. The paper concludes by highlighting the architectural potential found in specific qualities of dance and by advocating for a broader palette of tools, techniques, and input methods for the conceptual design of architecture.
keywords	Choreographed architecture; Motion capture; Conceptual design media; Space design; Human body
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2018_276
id	caadria2018_276
authors	Hannouch, Adam, Caldwell, Hugo, Cabrera, Densil and Reinhardt, Dagmar
year	2018
title	Digital Fabrication for Retroreflective Ceiling Treatment - Reducing Speech Distraction in an Open Work Environment
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. 317-325
doi	https://doi.org/10.52842/conf.caadria.2018.1.317
summary	This paper presents a case study for the production of retroreflective ceiling treatment in an open work environment. In this setting with multiple talkers, speech distraction can be a significant cause of dissatisfaction and loss of productivity. Ceiling treatment in open plan work environments can provide an important way of ameliorating distraction from unattended speech, and rather than absorbing the sound at the ceiling, this paper examines the possibility of reflecting sound back to the source. Computational design and digital fabrication are integrated in this research for a site-specific deployment of the ceiling treatment and physical testing of prototypes in an acoustics laboratory. The contemporary possibilities that open up with new technologies to understand and resurrect faceted geometries and potentially vary historical precedents via new manufacturing techniques are demonstrated in these novel acoustic reflective ceilings that reflect sound back to their original source.
keywords	Acoustic Ceiling Treatment; Computational Design; Digital Fabrication; Faceted Geometries; Retroreflection
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2018_162
id	caadria2018_162
authors	Hawton, Dominic, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	Shared Immersive Environments for Parametric Model Manipulation - Evaluating a Workflow for Parametric Model Manipulation from Within Immersive Virtual Environments
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 483-492
doi	https://doi.org/10.52842/conf.caadria.2018.1.483
summary	Virtual reality (VR) and augmented reality (AR) provide designers with new visual mediums through which to communicate their designs. There is great potential for these mediums to positively augment current visual communication methods by improving remote collaboration. Enabling designers to interact with familiar computational tools through external virtual interfaces would allow them to both calibrate design parameters and visualise parametric outcomes from within the same immersive virtual environment. The current research outlines a workflow for parametric manipulation and mesh replication between immersive applications developed in the Unity game engine and McNeel's Grasshopper plugin. This paper serves as a foundation for future research into integrating design tools with external VR and AR applications in an effort of enhancing remote collaborative designs.
keywords	Augmented Reality; Virtual Reality; Parametric Design; Procedural; Grasshopper
series	CAADRIA
email
last changed	2022/06/07 07:49

_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

_id	ecaade2018_159
id	ecaade2018_159
authors	Isanovic, Hatidza and Çolako?lu, Birgül
year	2018
title	Developing a Methodology for Learning BIM through Education-Practice Collaboration
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. 241-246
doi	https://doi.org/10.52842/conf.ecaade.2018.1.241
summary	Architecture, like other practice-oriented schools, aims to teach skills and knowledge required in professional practice. The aspired architecture profession increasingly requires practitioners who are able to work in collaborative BIM environments. This creates a task for education to develop new ways of teaching BIM concepts and tools to prepare the next generations of students who will enter the work force. To address this need, this study developed a methodology for learning BIM in architecture education by establishing relationship between practice and education. As substantial part of methodology development process, this paper will present the ongoing research that focuses on collaborative teaching process between AE practitioners and teachers. The benefits and challenges of this process will be presented and discussed.
keywords	BIM; education-practice partnership; hybrid model; collaborative teaching; case method; hands-on
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2018_050
id	caadria2018_050
authors	Lo, Tian Tian and Schnabel, Marc Aurel
year	2018
title	Virtual & Augmented Studio Environment (VASE) - Developing the Virtual Reality Eco-System for Design Studios
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. 443-452
doi	https://doi.org/10.52842/conf.caadria.2018.1.443
summary	Virtual Reality (VR) is being revived in major disciplines, including architecture. VR is no longer only employed for basic operations, such as construction of 3D models, dynamic renderings, closed-loop interaction, inside-out perspective and enhance sensory feedback. This paper explains how over the past twenty years technologies and software have evolved that a new eco-system for design processes have risen. This paper discusses how students made full use of both software and equipment in the whole design process; from ideas exploration to site analysis to form generation to design realization. Students have been exposed to a whole range of digital software tools in the beginning. As most of them were already familiar with modelling software, they have in particular been introduced to animation software, game engines and even 3D documentation software such as photogrammetry. Most importantly, they were led to IVE. The paper points out the benefits of adopting such methodology and the difficulties faced by the students at the various stages of the design process.
keywords	Design Studio; Virtual Reality; Software and Equipment; Design Exchange
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	ecaade2018_420
id	ecaade2018_420
authors	Peters, Brady, Akiyama, Mitchell, Abou Ras, Ous and Lamb, Sean
year	2018
title	Spatial Sonic Network - Designing and prototyping acoustic mirrors for communication
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. 571-580
doi	https://doi.org/10.52842/conf.ecaade.2018.1.571
summary	The Spatial Sonic Network is a proposal for a series of parabolic acoustic mirrors that collect, focus, and translate sound. Computational tools were used extensively throughout the project, to realize algorithmic logic, to integrate acoustic performance into the architectural design process, and to link design models to fabrication machinery. While conceptually straightforward, the design of acoustic mirrors, also known as sound mirrors, raised several challenges in terms of network design, geometry definition, acoustic performance simulation, prototyping, and measuring. The research and results that emerged from these challenges is the focus of this paper.
keywords	Architectural Acoustics; Performance Simulation; Prototyping
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2018_w12
id	ecaade2018_w12
authors	Rahbar, Morteza
year	2018
title	Application of Artificial Intelligence in Architectural Generative Design
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. 71-72
doi	https://doi.org/10.52842/conf.ecaade.2018.1.071
summary	In this workshop, data-driven models will be discussed and how they could change the way architects think, design and analyse. Both supervised and unsupervised learning models will be discussed and different projects will be referred as examples. Deep learning models are the third part of the workshop and more specifically, Generative Adversarial Networks will be mentioned in more detail. The GAN's open a new field of generative models in design which is based on data-driven process and we will go into detail with GANs, their branches and how we could test a sample architecture generative problem with GANs.
keywords	Artificial Intelligence; Machine Learning; Generative Design; Knowledge based Design; GAN
series	eCAADe
email
last changed	2022/06/07 08:00

_id	caadria2018_215
id	caadria2018_215
authors	Raspall, Felix and Banon, Carlos
year	2018
title	3D Printing Architecture: Towards Functional Space Frames
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. 215-224
doi	https://doi.org/10.52842/conf.caadria.2018.1.215
summary	In architecture, the use of Additive Manufacturing (AM) technologies has been primarily limited to the production of scale models. Its application for functional buildings components has been typically undermined by the long production time, elevated cost to manufacture parts and the low mechanical properties of 3D printed components. As AM becomes faster, cheaper and stronger, opportunities for architectures that make creative use of AM to produce functional architectural pieces are emerging. In this paper, we propose and discuss the application of AM in complex space frames and the theoretical and practical implications. Three built projects by the authors support our hypothesis that AM has a clear application in architecture and that space frames constitutes a promising structural typology. In addition, we investigate how AM can be used to resolve architectural systems beyond structure and enclosure, such as data and power transmission. The paper presents background research and our contribution to the digital design tools, the manufacturing and assembly processes, and the analysis of the performances of the building components and the final built pieces.
keywords	Additive Manufacturing; Digital Design; Space frames
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	sigradi2023_483
id	sigradi2023_483
authors	Roco Ibaceta, Miguel
year	2023
title	Contemporary training processes to Architectural Design Studio’s Updating
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 997–1008
summary	This paper examines the existing training gaps between the traditional teaching process of the Architectural Design Studio (ADS) and the new contemporary training scenarios through the perception of the ePortfolio’s use, which allows it to visualize guidelines for updating its teaching and learning process. The study is qualitative with an applied approach, based on a perception survey answered by students who attended the P2 workshop, between 2012 – 2018, in the Architecture Career of Concepción University, Chile. The results show the existence of training gaps associated with factors of conception, planning and development of pedagogical strategies of the training process. The conclusions allow us to observe opportunities for updating the teaching process of the ADS through the mediation of technological tools, which help to build a new pedagogical conception, more adjusted to the current and future scenarios of modernity.
keywords	Higher Education, ePortfolio, ICT, pedagogical strategy, architectural training
series	SIGraDi
email
last changed	2024/03/08 14:08

_id	caadria2018_197
id	caadria2018_197
authors	Rogers, Jessie, Schnabel, Marc Aurel and Lo, Tian Tian
year	2018
title	Digital Culture - An Interconnective Design Methodology Ecosystem
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. 493-502
doi	https://doi.org/10.52842/conf.caadria.2018.1.493
summary	Transitioning away from traditional design methodology, for example, paper sketching, CAAD works, and 'flat screen' rendering, this paper proposes a new methodological ecosystem of which tests its validity within a studio-based case study. The focus will prove whether dynamic implementation and interconnectivity of evolving design tools can create richness and complexity of a design outcome through arbitrary phases of a generative design methodology ecosystem. Processes tested include combinations of agent simulations, artistic image processing analysis, site photogrammetry, 3D immersive sketching both abstract and to site-scale, parametric design generation, and virtual reality style presentations. Enhancing the process of design with evolving techniques in a generative way which dynamically interconnects will stimulate a digital culture of design generation that includes new aspects of interest and introduces innovative opportunities within all corners of the architectural realm. Methodology components within this ecosystem of interaction prove that the architecture cannot be as rich and complex without the utilisation of all strengths within each unique design tool.
keywords	Methodology Ecosystem; Simulation; Immersive; Virtual Reality; Photogrammetry
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_154
id	caadria2018_154
authors	Scotto, Fabio, Lloret Fritschi, Ena, Gramazio, Fabio, Kohler, Matthias and Flatt, Robert J.
year	2018
title	Adaptive Control System for Smart Dynamic Casting - Defining Fabrication-Informed Design Tools and Process Parameters in Digital Fabrication Processes
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. 255-264
doi	https://doi.org/10.52842/conf.caadria.2018.1.255
summary	This paper describes the process control system and the fabrication-informed design tool developed for Smart Dynamic Casting (SDC) - the innovative technique that merges the process of slipforming with robotic fabrication technologies to enable greater geometrical freedom in the production of architectural components made of concrete. The paper focuses on the process parameters that characterizes the production workflow and it outlines the system-specific geometry rationalization algorithm developed for the definition of feasible geometries. Furthermore, the paper introduces the first application of the SDC design tool within the architectural context of the DFAB HOUSE, a building project realized entirely by robotic and digital technologies.
keywords	Digital fabrication; Smart Dynamic Casting; Control System; Design tool
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_303
id	caadria2018_303
authors	Song, Jae Yeol, Kim, Jin Sung, Kim, Hayan, Choi, Jungsik and Lee, Jin Kook
year	2018
title	Approach to Capturing Design Requirements from the Existing Architectural Documents Using Natural Language Processing Technique
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. 247-254
doi	https://doi.org/10.52842/conf.caadria.2018.2.247
summary	This paper describes an approach to utilizing natural language processing (NLP) to capture design requirements from the natural language-based architectural documents. In various design stage of the architectural process, there are several different kinds of documents describing requirements for buildings. Capturing the design requirements from those documents is based on extracting information of objects, their properties, and relations. Until recently, interpreting and extracting that information from documents are almost done by a manual process. To intelligently automate the conventional process, the computer has to understand the semantics of natural languages. In this regards, this paper suggests an approach to utilizing NLP for semantic analysis which enables the computer to understand the semantics of the given text data. The proposed approach has following steps: 1) extract noun words which mostly represent objects and property data in Korean Building Act; 2) analyze the semantic relations between words, using NLP and deep learning; 3) Based on domain database, translate the noun words in objects and properties data and find out their relations.
keywords	NLP (Natural Language Processing); Deep learning; Design requirements; Korean Building Act; Semantic analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia18_186
id	acadia18_186
authors	Yin, Hao; Guo, Zhe; Zhao, Yao; Yuan, Philip F.
year	2018
title	Behavior Visualization System Based on UWB Positioning Technology
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. 186-195
doi	https://doi.org/10.52842/conf.acadia.2018.186
summary	This paper takes behavioral performance as a starting point and uses ultra-wideband (UWB) positioning technology and visualization methods to accurately collect and present in-place behavioral data so as to explore the behavioral characteristics of space users. In this process, we learned the observation, quantification, and presentation of behavioral data from the evolution of behavioral research. Secondly, after a comparative analysis of four types of indoor positioning technologies, we selected UWB-positioning technology and the JavaScript programming language as the development tools for a behavior visualization system. Next, we independently developed the behavior visualization system, which required a deep understanding of the working principle of UWB technology and the visualization method of the JavaScript programming language. Finally, the system was applied to an actual space, collecting and presenting users’ behavioral characteristics and habits in order to verify the applicability of the system in the field of behavioral research.
keywords	full paper, design tools, ai + machine learning, big data, behavioral performance + simulation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	ecaade2018_309
id	ecaade2018_309
authors	Aºut, Serdar, Eigenraam, Peter and Christidi, Nikoletta
year	2018
title	Re-flex: Responsive Flexible Mold for Computer Aided Intuitive Design and Materialization
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. 717-726
doi	https://doi.org/10.52842/conf.ecaade.2018.1.717
summary	The paper presents an ongoing research about the design and a possible use of a responsive flexible mold. The mold is developed by integrating its precedents with automation and Human-Computer Interaction (HCI). The objective of the design is to provide an immersive design tool which has direct link to fabrication. It allows intuitive interaction to its user in order to help with the design and production of complex forms by supporting the designer's implicit skills with computer. The paper presents the design by illustrating the use of the hardware such as the actuators, the sensor and the projector; and by defining the workflow within the software. The paper concludes with the description of a possible use case in which the system is used to design and materialize an object in different scales.
keywords	Design tools development; Digital fabrication and robotics; Human-computer interaction in design; Shape, form and geometry; Inventive Making
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_237
id	ecaade2018_237
authors	Beir?o, José, Mateus, Nuno and Siopa Alves, Jo?o
year	2018
title	Modular, Flexible, Customizable Housing and 3D Printed - An experiment in architectural education
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. 381-390
doi	https://doi.org/10.52842/conf.ecaade.2018.1.381
summary	Technological developments in construction always bring new expectations in terms of design possibilities. The use of digital tools both in design exploration and applied to explore new forms of computer controlled manufacture provide opportunities for the emergence of new tectonics. Because these transformations change our construction reality fast and with impacts never seen before, it is important that architectural education follows such change and prepares students for what will be their future really, making them capable to accept and incorporate the tectonic implications of digital tools and construction methods in the way they design. This paper shows a tutored approach to mass customized housing resorting to 3D printed parametric modular construction.Please write your abstract here by clicking this paragraph.
keywords	caad education; mass customization; 3D printed housing
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_132
id	ecaade2018_132
authors	Bialkowski, Sebastian
year	2018
title	Topology Optimisation Influence on Architectural Design Process - Enhancing Form Finding Routine by tOpos Toolset utilisation
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. 139-148
doi	https://doi.org/10.52842/conf.ecaade.2018.1.139
summary	The paper focuses on possibilities of already known engineering procedures such as Finite Element Method or Topology Optimisation for effective implementation in architectural design process. The existing attempts of complex engineering algorithms implementation, as a form finding approach will be discussed. By intersecting architectural form evaluation with engineering analysis complemented by optimisation algorithms, the new quality of contemporary architecture design process may appears.
keywords	topology optimisation; design support tools; complex geometries; General Programing GPU; CUDA
series	eCAADe
email
last changed	2022/06/07 07:52

_id	sigradi2018_1671
id	sigradi2018_1671
authors	Brito, Michele; de Sá, Ana Isabel; Borges, Jéssica; Rena, Natacha
year	2018
title	IndAtlas - Technopolitic platform for urban investigation
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. 1305-1312
summary	This article presents the project of the urban research platform IndAtlas, currently in early development stage by UFMG’s Research Group Indisciplinar. Through the association of crowdsourcing tools, a spatial database and the production of visualizations of different types, it is intended to create a Web platform for collecting, analyzing and depicting information about processes of production and transformation of urban space. It is proposed that the phenomena (themes) investigated in the platform are approached mainly from four axes: 1) spatial / territorial; 2) temporal; 3) social; 4) communicational. To do this, we try to combine online collaborative maps with the production of dynamic timelines and visualizations of networks of social actors (graphs), connected with social networks and Wiki pages. The article will address the development of Indisciplinar’s working method, which guided the proposal of the platform, as well as the functional and technical aspects to be observed for its implementation, the proposed architecture and the importance of interoperability for the project. Finally, the inquiries derived from the first test experiment of an IndAtlas test prototype will be presented. The experiment took place in a workshop belonging to the Cidade Eletrônika 2018 Festival – an arts and technology event. The workshop was offered in January of the same year, and it proposed a collaborative cartography of the Santa Tereza neighborhood, in Belo Horizonte / MG – a traditional neighborhood of great importance for historical heritage, currently subject to great real estate pressure and the focus of a series of territorial disputes.
keywords	IndAtlas, Crowdsourcing, Urban Technopolitics,, Digital Cartographies,, Spatial Data.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2018_125
id	caadria2018_125
authors	Bungbrakearti, Narissa, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	HOLOSYNC - A Comparative Study on Mixed Reality and Contemporary Communication Methods in a Building Design Context
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. 401-410
doi	https://doi.org/10.52842/conf.caadria.2018.1.401
summary	The integration of technology into the design process has enabled us to communicate through various modes of virtuality, while more traditional face-to-face collaborations are becoming less frequent, specifically for large scale companies. Both modes of communication have benefits and disadvantages - virtual communication enables us to connect over large distances, however can often lead to miscommunication, while face-to-face communication builds stronger relationship, however may be problematic for geographically dispersed teams. Mixed Reality is argued to be a hybrid of face-to-face and virtual communication, and is yet to be integrated into the building design process. Despite its current limitations, such as field of view, Mixed Reality is an effective tool that generates high levels of nonverbal and verbal communication, and encourages a high and equal level of participation in comparison to virtual and face-to-face communication. Being a powerful communication tool for complex visualisations, it would be best implemented in the later stages of the building design process where teams can present designs to clients or where multiple designers can collaborate over final details.
keywords	Mixed Reality; Communication; Hololens; Collaboration; Virtual
series	CAADRIA
email
last changed	2022/06/07 07:54

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