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	ijac201816406
id	ijac201816406
authors	As, Imdat; Siddharth Pal and Prithwish Basu
year	2018
title	Artificial intelligence in architecture: Generating conceptual design via deep learning
source	International Journal of Architectural Computing vol. 16 - no. 4, 306-327
summary	Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph- based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
keywords	Architectural design, conceptual design, deep learning, artificial intelligence, generative design
series	journal
email
last changed	2019/08/07 14:04

_id	ecaade2018_w12
id	ecaade2018_w12
authors	Rahbar, Morteza
year	2018
title	Application of Artificial Intelligence in Architectural Generative Design
doi	https://doi.org/10.52842/conf.ecaade.2018.1.071
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
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	ecaade2018_342
id	ecaade2018_342
authors	Kormaníková, Lenka, Chronis, Angelos, Kme, Stanislav and Katunský, Dušan
year	2018
title	Wind-formed Architectural Shapes
doi	https://doi.org/10.52842/conf.ecaade.2018.2.377
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. 377-384
summary	The paper investigates the design loop of parametrically creating an architectural shape based on the analysis of the specific wind situation of the design site, continuously testing the design's performance in the wind using Computational Fluid Dynamics (CFD) simulations and subsequently adjusting the formed architectural shape based on the wind simulations' results. An optimal shape for the determined behavior in the wind is sought in this iterative process. The design strategy is being developed as an attempt to create a sustainable and effective alternative design approach for the changing future environment. The complexity of the process, particularly the need of the repetitive wind tunnel adjustment for every new design situation, or the need of external post-processing software for displaying the wind results of every new architectural shape remains a disadvantage in the search for an optimal architectural solution.
keywords	environment; parametric architecture; CFD; performance; wind analysis
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2018_281
id	caadria2018_281
authors	Lee, Jisun and Lee, Hyunsoo
year	2018
title	Pneumatic Skin with Adaptive Openings - Adaptive Façade with Opening Control Integrated with CFD for Natural Ventilation
doi	https://doi.org/10.52842/conf.caadria.2018.2.143
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. 143-151
summary	The unique integration of geometries and techniques allows the natural organisms to adapt to different environments in creative ways. In this study, a bio-inspired pneumatic facade is presented as a strategy to improve the efficiency of natural ventilation performance by controlling the adaptive openings. The Computational Fluid Dynamics simulation has been conducted to visualize airflows in order to explore how the changing configurations of openings enhance natural ventilation efficiency. The airflows are investigated with changes in wind speed and direction to find out the opening configurations which provide indoor airflows at the comfort level of velocities. As results, it was shown that indoor air velocities were modulated by controlling opening sizes, geometries and positions of the openings, and it was a beneficial strategy to apply the optimized opening configurations implementing automatic control. Also, the air distribution can be enhanced by changing opening configurations in changing conditions of wind speed and direction. An effective methodology for an intelligent façade opening control to encourage natural ventilation is presented in this study to deliver users comfort and efficiency.
keywords	Natural ventilation; airflow simulation; pneumatic facade; Computational Fluid Dynamics
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_122
id	caadria2018_122
authors	Leung, Emily, Asher, Rob, Butler, Andrew, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	Redback BIM - Developing 'De-Localised' Open-Source Architecture-Centric Tools
doi	https://doi.org/10.52842/conf.caadria.2018.2.021
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. 21-30
summary	Emerging technologies that use data have contributed to the success of communication all over the world. Social media and gaming industries have already taken advantage of the web to provide synchronous communication and updated information. Conversely, existing methods of communication within the AEC industry require multiple platforms, such as emails and file sharing services in conjunction with 3D Modelling software, to inform changes made by stakeholders, resulting in file duplication and limited accessibility to the latest version, while augmenting existing practice's inefficiency. As communication is critical to the success of a project and should be enhanced, Redback BIM promises to establish a workflow for a dynamic platform, while achieving similar results to that of a 3D modelling program hosted on the web. Using existing open-source web development software, multiple users will be able to collaboratively organise and synchronise changes made to the design scheme in real-time. Features such as this would enable more fluid communication between multiple stakeholders within the life of a project.
keywords	De-localised Workspaces; Web-based Software Platforms; Data; Open-source; Collaboration
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	sigradi2018_1648
id	sigradi2018_1648
authors	Naboni, Roberto; Breseghello, Luca
year	2018
title	Fused Deposition Modelling Formworks for Complex Concrete Constructions
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. 700-707
summary	Concrete is undoubtedly the most employed material in constructions. In principle it allows to build complex architecture, where form can be for the realization of complex shapes. However, the biggest limitation of its use is explained by the demanding process needed to create free-form casts, it often limits its potential to obvious geometries. With the aim of overcoming current limitations, this paper explores the use of additive manufacturing to create formworks for concrete elements. The case study of a complex column is here utilized in order to develop an approach for advanced molds, where pressure levels, fluid dynamics of concrete and disassembly are integrative part of the design process. In conclusion are presented recommendations for further development at larger scale.
keywords	Digital concrete, Casting, Additive Manufacturing, Digital Fabrication, Construction Method
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
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. 574-583.
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia18_250
id	acadia18_250
authors	Seibold, Zach; Grinham, Jonathan; Geletina, Olga; Ahanotu, Onyemaechi; Sayegh, Allen; Weaver, James; Bechthold, Martin
year	2018
title	Fluid Equilibrium: Material Computation in Ferrofluidic Castings
doi	https://doi.org/10.52842/conf.acadia.2018.250
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. 250-259
summary	We present a computationally-based manufacturing process that allows for variable pattern casting through the use of ferrofluid – a mixture of suspended magnetic nanoparticles in a carrier liquid. The capacity of ferrofluid to form intricate spike and labyrinthine packing structures from ferrohydrodynamic instabilities is well recognized in industry and popular science. In this paper we employ these instabilities as a mold for the direct casting of rigid materials with complex periodic features. Furthermore, using a bitmap-based computational workflow and an array of high-strength neodymium magnets with linear staging, we demonstrate the ability to program the macro-scale pattern formation by modulating the magnetic field density within a single cast. Using this approach, it is possible to program specific patterns in the resulting cast tiles at both the micro- and macro-scale and thus generate tiled arrays with predictable halftone-like image features. We demonstrate the efficacy of this approach for a variety of materials typically used in the architecture, engineering, and construction industries (AEC) including epoxys, ceramics, and cements.
keywords	full paper, materials & adaptive systems, digital fabrication, digital materials, physics
series	ACADIA
type	paper
email
last changed	2022/06/07 08:00

_id	caadria2018_082
id	caadria2018_082
authors	Zhu, Li and Yang, Yang
year	2018
title	Optimization Design Study of Lightweight Temporary Building Integrated with PCMS Through CFD Simulation
doi	https://doi.org/10.52842/conf.caadria.2018.2.155
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. 155-164
summary	In fact, the phase change materials (PCMs) integrated in the building envelope structure can decrease the buildings' energy consumption by enhancing thermal energy storage capacity, which has been acknowledged and appreciated by many engineers and architects. To achieve a better practical application effect under the minimum cost principle and provide a different design method based on indoor thermal discomfort evaluation results for stakeholders, this paper numerically test the application effect of composite envelope under Tianjin climate through commercial computational fluid dynamic soft (Fluent). Further, parameter sensitivity to thermal performance of the composite envelope and indoor thermal discomfort are investigated in this paper, and two different evaluation indicators are introduced and used here. The numerical results obtained in this paper support the high potential of using PCM in lightweight temporary buildings and highlight the further optimization design work.
keywords	Optimization design; Lightweight temporary building; PCMs; CFD simulation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_107
id	caadria2018_107
authors	Zhu, Yuehan, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2018
title	SLAM-Based MR with Animated CFD for Building Design Simulation
doi	https://doi.org/10.52842/conf.caadria.2018.1.391
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. 391-400
summary	In advanced society, the existing building stock has huge social, economic, and environmental impact. There is a high demand for stock renovation, which gives existing buildings new lives, rather than building new ones. During the renovation process, it is necessary to simultaneously achieve architectural, facilities, structural, and environmental design in order to accomplish a healthy, comfortable, and energy-saving indoor environment, prevent delays in problem solving, and achieve a timely feedback process. This study tackled the development of an integrated system for stock renovation by considering computational fluid dynamics (CFD) and Mixed Reality (MR) in order to allow the simultaneous design of a building plan and thermal environment. The CFD analysis enables the simulation of the indoor thermal environment, including the effects of daylight and ventilation. The MR system visualizes the simulation results intuitively and makes renovation projects perform in a very efficient manner with regard to various stakeholders. In addition, a new CFD animation generation method is proposed in MR system, in order for users to consider the entirety of changes in the thermal environment.
keywords	thermal environment; computational fluid dynamics (CFD); mixed reality (MR); daylight; ventilation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia18_244
id	acadia18_244
authors	Belanger, Zackery; McGee, Wes; Newell, Catie
year	2018
title	Slumped Glass: Auxetics and Acoustics
doi	https://doi.org/10.52842/conf.acadia.2018.244
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
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	acadia18_176
id	acadia18_176
authors	Bidgoli, Ardavan; Veloso,Pedro
year	2018
title	DeepCloud. The Application of a Data-driven, Generative Model in Design
doi	https://doi.org/10.52842/conf.acadia.2018.176
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. 176-185
summary	Generative systems have a significant potential to synthesize innovative design alternatives. Still, most of the common systems that have been adopted in design require the designer to explicitly define the specifications of the procedures and in some cases the design space. In contrast, a generative system could potentially learn both aspects through processing a database of existing solutions without the supervision of the designer. To explore this possibility, we review recent advancements of generative models in machine learning and current applications of learning techniques in design. Then, we describe the development of a data-driven generative system titled DeepCloud. It combines an autoencoder architecture for point clouds with a web-based interface and analog input devices to provide an intuitive experience for data-driven generation of design alternatives. We delineate the implementation of two prototypes of DeepCloud, their contributions, and potentials for generative design.
keywords	full paper, design tools software computing + gaming, ai & machine learning, generative design, autoencoders
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	acadia18_276
id	acadia18_276
authors	Bilotti, Jeremy; Norman, Bennett; Rosenwasser, David; Leo Liu, Jingyang; Sabin, Jenny
year	2018
title	Robosense 2.0. Robotic sensing and architectural ceramic fabrication
doi	https://doi.org/10.52842/conf.acadia.2018.276
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. 276-285
summary	Robosense 2.0: Robotic Sensing and Architectural Ceramic Fabrication demonstrates a generative design process based on collaboration between designers, robotic tools, advanced software, and nuanced material behavior. The project employs fabrication tools which are typically used in highly precise and predetermined applications, but uniquely thematizes the unpredictable aspects of these processes as applied to architectural component design. By integrating responsive sensing systems, this paper demonstrates real-time feedback loops which consider the spontaneous agency and intuition of the architect (or craftsperson) rather than the execution of static or predetermined designs. This paper includes new developments in robotics software for architectural design applications, ceramic-deposition 3D printing, sensing systems, materially-driven pattern design, and techniques with roots in the arts and crafts. Considering the increasing accessibility and advancement of 3D printing and robotic technologies, this project seeks to challenge the erasure of materiality: when mistakes or accidents caused by inconsistencies in natural material are avoided or intentionally hidden. Instead, the incorporation of material and user-input data yields designs which are imbued with more nuanced traces of making. This paper suggests the potential for architects and craftspeople to maintain a more direct and active relationship with the production of their designs.
keywords	full paper, fabrication & robotics, robotic production, digital fabrication, digital craft
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 131-140
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_008
id	caadria2018_008
authors	Crolla, Kristof, Cheng, Paul Hung Hon, Chan, Ding Yuen Shan, Chan, Arthur Ngo Foon and Lau, Darwin
year	2018
title	Inflatable Architecture Production with Cable-Driven Robots
doi	https://doi.org/10.52842/conf.caadria.2018.1.009
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. 9-18
summary	This paper argues for alternative methods for the in-situ integration of robotics in architectural construction. Rather than promoting off-site pre-fabrication through industrial robot applications, it advocates for suspended, light-weight, cable-driven robots that allow flexible and safe onsite implementation. This paper uses the topic of large-scale inflatable architectural realisation as a study case to test the application of such a robot, here with a laser-cutter as end-effecter. This preliminary study covers the design, development, prototyping, and practical testing of an inherently scale-less cable-driven laser-cutter setup. This setup allows for the non-size specific cutting of inflatable structures' components which can be designed with common physics simulation engines. The developed robotic proof of concept forms the basis for several further and future study possibilities that merge the field of architectural design and implementation with mechanical and automation engineering.
keywords	Cable-driven robots; In-situ robotic fabrication; Large-scale fabrication; Inflatable architecture; Cross-disciplinarily
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_329
id	ecaade2018_329
authors	De Luca, Francesco, Nejur, Andrei and Dogan, Timur
year	2018
title	Facade-Floor-Cluster - Methodology for Determining Optimal Building Clusters for Solar Access and Floor Plan Layout in Urban Environments
doi	https://doi.org/10.52842/conf.ecaade.2018.2.585
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. 585-594
summary	Daylight standards are one of the main factors for the shape and image of cities. With urbanization and ongoing densification of cities, new planning regulations are emerging in order to manage access to sun light. In Estonia a daylight standard defines the rights of light for existing buildings and the direct solar access requirement for new premises. The solar envelope method and environmental simulations to compute direct sun light hours on building façades can be used to design buildings that respect both daylight requirements. However, no existing tool integrates both methods in an easy to use manner. Further, the assessment of façade performance needs to be related to the design of interior layouts and of building clusters to be meaningful to architects. Hence, the present work presents a computational design workflow for the evaluation and optimisation of high density building clusters in urban environments in relation to direct solar access requirements and selected types of floor plans.
keywords	Performance-driven Design; Urban Design; Direct Solar Access; Environmental Simulations and Evaluations; Parametric Modelling
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_295
id	ecaade2018_295
authors	Dezen-Kempter, Eloisa, Cogima, Camila Kimi, Vieira de Paiva, Pedro Victor and Garcia de Carvalho, Marco Antonio
year	2018
title	BIM for Heritage Documentation - An ontology-based approach
doi	https://doi.org/10.52842/conf.ecaade.2018.1.213
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. 213-222
summary	In the recent decades, the high-resolution remote sensing, through 3D laser scanning and photogrammetry benefited historic buildings maintenance, conservation, and restoration works. However, the dense surface models (DSM) generated from the data capture have nonstructured features as lack of topology and semantic discretization. The process to create a semantically oriented 3D model from the DSM, using the of Building Information Model technology, is a possibility to integrate historical information about the life cycle of the building to maintain and improving architectural valued building stock to its functional level and safeguarding its outstanding historical value. Our approach relies on an ontology-based system to represent the knowledge related to the building. Our work outlines a model-driven approach based on the hybrid data acquisition, its post-processing, the identification of the building' main features for the parametric modeling, and the development of an ontological map integrated with the BIM model. The methodology proposed was applied to a large-scale industrial historical building, located in Brazil. The DSM were compared, providing a qualitative assessment of the proposed method.
keywords	Reality-based Surveying; Ontology-based System; BIM; Built heritage management
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_260
id	ecaade2018_260
authors	Kallegias, Alexandros
year	2018
title	Design by Computation - A material driven study
doi	https://doi.org/10.52842/conf.ecaade.2018.2.279
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. 279-284
summary	The paper aims to address methods of creating a system for design through material studies that are employed as feedback on a computational digital model. The case study described in this paper is the output of an exploration that has investigated physical transformation, interaction and wood materiality over the period of two weeks of the international architecture programme AA Athens Visiting School in Greece. Real-time performative form-responsive methods based on bending and stretching have been developed and simulated in an open-source programming environment. The output of the simulation has been informed by the results of material tests that took place in parallel and have served as inputs for the fine-tuning of the simulation. Final conclusions were made possible from these explorations that enabled the fabrication of a prototype using wood veneer at one-to-one scale. From a pedagogical aspect, the research main focus is to improve the quality of architectural education by learning through making. This is made possible using advanced computational techniques and coupling them with material studies towards an integrated system for architectural prototypes within a limited time frame.
keywords	materiality; computation; 1:1 scale prototyping; simulation; fabrication
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaaderis2018_112
id	ecaaderis2018_112
authors	Kontovourkis, Odysseas and Konatzii, Panagiota
year	2018
title	Design-static analysis and environmental assessment investigation based on a kinetic formwork-driven by digital fabrication principles
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. 131-140
keywords	This research focuses on design-static analysis and environmental assessment procedures that are based on the idea of a flexible kinetic formwork used as the automated mechanism for the production of bricks for porous wall structures. A key aspect of this investigation is the Life Cycle Assessment (LCA) analysis study that is applied in order to achieve, in parallel with the automated procedure, the sustainable potential of the products. For this purpose, the design and construction flexibility of the product is taken into account from the early design decision making stage by examining different sizes of bricks under fabrication including massive or porous ones in order to test their design and static performance, aiming to adapt their shape in multiple functional and environmental scenarios. In parallel, the LCA impact of the given design scenarios are taken into consideration, again from the early design phase, and include, among other objectives, material minimization, less environmental impact of building materials and less energy consumption based on the proposed digital fabrication technology. This is examined by comparing digital design and robotic automated results using three types of ecological materials.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	ecaaderis2018_111
id	ecaaderis2018_111
authors	Kontovourkis, Odysseas and Tryfonos, George
year	2018
title	An integrated robotically-driven workflow for the development of elastic tensile structures in various scales
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. 111-120
keywords	This paper presents an ongoing work towards the development of an integrated robotically-driven workflow that can be used for the design, development and subsequent fabrication of small-to large-scale elastic tensile mesh structures. This approach involves digital form-finding and optimization, driven by robotic manufacturing principles and it aims to overcome the limitations of currently available tools, to work either in the design or the fabrication phase of the process. At the same time, it involves the fabrication of systems in several scales followed by respective analyses of results according to the specific type and diameter of the material used. Specifically, form-finding and optimization are responsible for controlling the pretension of the elastic threads, aiming to determine the final tensile mesh and to generate the additive robotic tool-path. In parallel, the type and diameter of the material involved, define the necessary changes of the end-effector tool, which is responsible to implement the process. Despite that design results can be in any scale, for study purposes an experimentation into a small-scale is conducted, to evaluate the suggested automated construction process in general and the end-effector mechanism in particular.
series	eCAADe
email
last changed	2018/05/29 14:33

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