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	architectural_intelligence2022_5
id	architectural_intelligence2022_5
authors	Jiading Zhong, Jianlin Liu, Yongling Zhao, Jianlei Niu & Jan Carmeliet
year	2022
title	Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00008-7
source	Architectural Intelligence Journal
summary	Pressing problems in urban ventilation and thermal comfort affecting pedestrians related to current urban development and densification are increasingly dealt with from the perspective of climate change adaptation strategies. In recent research efforts, the prime objective is to accurately assess pedestrian-level wind (PLW) environments by using different simulation approaches that have reasonable computational time. This review aims to provide insights into the most recent PLW studies that use both established and data-driven simulation approaches during the last 5 years, covering 215 articles using computational fluid dynamics (CFD) and typical data-driven models. We observe that steady-state Reynolds-averaged Navier-Stokes (SRANS) simulations are still the most dominantly used approach. Due to the model uncertainty embedded in the SRANS approach, a sensitivity test is recommended as a remedial measure for using SRANS. Another noted thriving trend is conducting unsteady-state simulations using high-efficiency methods. Specifically, both the massively parallelized large-eddy simulation (LES) and hybrid LES-RANS offer high computational efficiency and accuracy. While data-driven models are in general believed to be more computationally efficient in predicting PLW dynamics, they in fact still call for substantial computational resources and efforts if the time for development, training and validation of a data-driven model is taken into account. The synthesized understanding of these modeling approaches is expected to facilitate the choosing of proper simulation approaches for PLW environment studies, to ultimately serving urban planning and building designs with respect to pedestrian comfort and urban ventilation assessment.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	acadia22pr_112
id	acadia22pr_112
authors	Swackhamer, Marc; Satterfield, Blair; Buma, Brian; Rhodes, Hadley; Hayes, Matthew; Ebert, Logan; Ackerley, Jon
year	2022
title	Nurse Pod - A Critical Examination of the Role of Decay in Architecture
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 112-117.
summary	In 2020 alone, Colorado saw three of the largest wildfires recorded in state history. The intensity of these fires left native soils sterile and increased soil erosion, damaging the landscape and watershed. Despite human efforts to replant lost forests in the face of a warming and drying climate, newly planted saplings often experience a high early mortality rate due to soil loss, sterilization, and low water availability. Nurse Pod aims to assist in forest regeneration by providing a supportive system for vulnerable tree saplings
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	sigradi2022_187
id	sigradi2022_187
authors	Andia, Alfredo
year	2022
title	SynBio-Design: Building new infrastructures and territories with Synthetic Biology.
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1213–1224
summary	Which kind of imagination do we need for the future of our planet? In the past 150 years, we have completely transformed our biosphere. Today we have arrived at points of no return in global warming! The temperature of the Arctic Ocean will increase by 3-5°C by mid-century. This will lead to disastrous ocean acidification, sea-level rise, and worst of all the thawing of the permafrost that will release 1 trillion tons of carbon dioxide into the atmosphere. In this paper, we argue that building with biology will be the most important force to transform our planet. Since 2006, Synthetic Biology (SynBio) has surfaced as the fastest-growing technology in human history. SynBio involves emerging techniques that allow us to design, edit, and engineer all kinds of living organisms. In this paper, we elaborate on its potential development in growing infrastructures and its impacts on architectural thinking.
keywords	Bio-Inspired Design, Synthetic Biology, Bio-Architecture, Climate Change, Biotechnology
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	caadria2022_82
id	caadria2022_82
authors	Globa, Anastasia, Reinhardt, Dagmar, Keane, Adrienne and Davies, Peter
year	2022
title	Building Resilience - Using Parametric Modelling and Game Engines to Simulate the Impacts of Secondary Structures in Bushfire Events
doi	https://doi.org/10.52842/conf.caadria.2022.2.749
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 749-758
summary	Bushfires are a global phenomenon, closely connected to climate change and safety, resilience and sustainability of cities and human settlements. Government agencies, architects and researchers across institutions are committed to improving Australia‚s resilience to bushfires yet grappling with ways to further mitigate risks. ‚Build back better‚ is the often-used phrase to support bushfire resilience, yet there remains a limited understanding of how secondary structures, such as storage sheds, garages, and fences contribute to or mitigate fire loss. These secondary structures are integral to properties yet fall, largely, outside land use planning approval processes and other regulations. Computational modelling can be adapted to deliver visualisations that increase awareness. We developed several simulation approaches which addressed distances, relationship to and the construction materials of secondary structures, terrain slopes and environmental forces. We conclude that gaming engines may offer the optimal immersive opportunity for residents and others to visualise fire risks related to secondary structures to increase awareness and improve bushfire readiness behaviours.
keywords	bushfire, auxiliary structures, game engine, visualisation modelling, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_344
id	caadria2022_344
authors	Krezlik, Adrian
year	2022
title	Considering Energy, Materials and Health Factors in Architectural Design, Two Renovation Strategies for the Portuguese Building Stock
doi	https://doi.org/10.52842/conf.caadria.2022.2.619
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 619-628
summary	According to the Intergovernmental Panel on Climate Change, the built environment has a significant share in global final energy use, greenhouse gases emission, land-system change, and biodiversity loss to list some indicators. In Europe, the biggest challenge is to regenerate existing building stock to create a positive impact on Nature. The Portuguese housing stock is old: 56% is more than 30 years old, and it has a low level of thermal comfort and energy efficiency. The first thermal regulations appeared in 1990 and therefore most of the houses need urgent renovation to meet EU decarbonization goals, and to improve energy efficiency, as well as well-being and comfort of residents. This paper presents a method that aims to verify existing solutions known from vernacular architecture as complementary to existing strategies. It employs digital simulation to verify whether they could be used for renovation, measuring their impact on human and planetary health. The paper shows that there is a wide spectrum of parameters that influence the renovation process and that it is possible to enhance building performance using vernacular knowledge.
keywords	Building Energy Modelling, Life Cycle Assessment, Occupant Health, Energy Renovation, Vernacular Mimicry, SDG 3, SDG 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_302
id	caadria2022_302
authors	Raghu, Deepika, Markopoulou, Areti, Marengo, Mathilde, Neri, Iacopo, Chronis, Angelos and De Wolf, Catherine
year	2022
title	Enabling Component Reuse from Existing Buildings through Machine Learning, Using Google Street View to Enhance Building Databases
doi	https://doi.org/10.52842/conf.caadria.2022.2.577
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 577-586
summary	Intense urbanization has led us to rethink construction and demolition practices on a global scale. There is an opportunity to respond to the climate crisis by moving towards a circular built environment. Such a paradigm shift can be achieved by critically examining the possibility of reusing components from existing buildings. This study investigates approaches and tools needed to analyze the existing building stock and methods to enable component reuse. Ocular observations were conducted in Google Street View to analyze two building-specific characteristics: (1) facade material and (2) reusable components (window, doors, and shutters) found on building facades in two cities: Barcelona and Zurich. Not all products are equally suitable for reuse and require an evaluation metric to understand which components can be reused effectively. Consequently, tailored reuse strategies that are defined by a priority order of waste prevention are put forth. Machine learning shows promising potential to visually collect building-specific characteristics that are relevant for component reuse. The data collected is used to create classification maps that can help define protocols and for urban planning. This research can upscale limited information in countries where available data about the existing building stock is insufficient.
keywords	machine learning, component reuse, Google Street View, material banks, building databases, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_118
id	caadria2022_118
authors	Reitberger, Roland, Banihashemi, Farzan and Lang, Werner
year	2022
title	Sensitivity and Uncertainty Analysis of Combined Building Energy Simulation and Life Cycle Assessment, Implications for the Early Urban Design Process
doi	https://doi.org/10.52842/conf.caadria.2022.2.629
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 629-638
summary	Life Cycle Assessment (LCA) is a suitable approach for evaluating environmental impact (e.g. Global Warming Potential (GWP)) related to construction elements and building operation. Since both contribute significantly to the lifecycle based GWP of buildings, combined consideration is necessary. This applies especially for the early design stages when measures for climate change mitigation can be implemented in a cost-efficient manner. In this paper, we describe a sensitivity and uncertainty analysis (SA/UA) for energy simulation and LCA with a total of 8,000 parameter combinations. Thereby, we investigated valuable input for the setup of a collaborative design process with limited information. Standardised Regression Coefficients (SRCs) were used to obtain sensitivity and resulting uncertainties were investigated. The results indicate Primary Energy Source (PES), compactness and energy standard to be the most important information for the robustness of the combined LCA approach. Uncertainty can be reduced by e.g. defining the energy system in an early stage or by designing compact buildings. Related to the early design stages, the application of combined approaches for SA and UA is recommended, as the results differ for embodied and operational emissions.
keywords	early design stages, Sensitivity Analysis (SA), Uncertainty Analysis (UA), Life Cycle Assessment (LCA), urban scale, synergy potential, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_164
id	sigradi2022_164
authors	Rodriguez Cortez, Fernando Hernan; Gatica Laurie, Braulio Alfonso; Garcia-Alvarado, Rodrigo
year	2022
title	Hydrological recovery of the landscape through generative design.
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1113–1122
summary	The climate crisis confronts us with global scenarios of water deficiency, which leads us to optimize rainwater harvesting (RWH) methods applied to landscapes. These are sophisticated projects with high technical investment per hectare designed and executed. Therefore, to balance the cost of engineering, through advanced digital design tools, it has become an objective to use landscape architecture as a resource for mitigating water deficit and climate change. In order to restore the relationship between the natural and built environment through virtual processing. This work exposes a new geometric analysis methodology, verified in a case study, which applies generative parametric programming to increase the water capacity of a natural landscape. This work demonstrates the potential of digital design for the ecological recovery of the territory.
keywords	Smart Cities and Environments, Sustainable Design, Generative Design, Mixed realities, hydrological design
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	sigradi2022_92
id	sigradi2022_92
authors	Vaez Afshar, Sepehr; Aytaç, Gülºen; Eshaghi, Sarvin; Vaez Afshar, Sana
year	2022
title	Online Footprint - A serious game for reducing digital carbon emission
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1043–1052
summary	Life is getting digital more than ever as technology improves. While the Internet is responsible for two percent of global greenhouse gas emissions, it is underestimated as a pollutant. Since public awareness is one of the most important preservation methods, it can contribute to protecting the environment from carbon emissions by raising people's understanding. In this regard, serious games, as a type of gamification transmitting educational content besides entertainment, immerse the player in enjoyment while teaching them a specific topic or enhancing their skills in a field. This study proposes a serious game, taking the digital unseen carbon footprint and its effects on the landscape into the topic. The game considers SDG goals provided by the United Nations Department of Economic and Social Affairs. In this regard, the research uses SDGs 4 and 7 by providing quality education for all and access to sustainable energy by changing people's everyday habits.
keywords	Online learning, Internet footprint, Climate change, Serious games, SDGs
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	caadria2022_001
id	caadria2022_001
authors	van Ameijde, Jeroen, Gardner, Nicole, Hyun, Kyung Hoon and Luo, Dan
year	2022
title	CAADRIA 2022: POST-CARBON - Volume 2
source	CAADRIA 2022, POST-CARBON - Proceedings of the 27th CAADRIA Conference - vol. 2, Sydney, 9-15 April 2022, 774 p.
summary	The annual Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) conference provides an international community of researchers and practitioners with a venue to exchange, to discuss and to publish their latest ideas and accomplishments. These proceedings, consisting of two volumes, contain the research papers that were accepted for presentation at the 27th International CAADRIA Conference, organised jointly by the University of New South Wales, The University of Sydney, and the University of Technology Sydney. The papers in this publication have been selected through a two-stage, double-blind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication, translating to an acceptance rate of 30.7%. The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.
series	CAADRIA
email
last changed	2022/05/23 12:05

_id	caadria2022_000
id	caadria2022_000
authors	van Ameijde, Jeroen, Gardner, Nicole, Hyun, Kyung Hoon, Luo, Dan and Sheth, Urvi
year	2022
title	CAADRIA 2022: POST-CARBON - Volume 1
source	CAADRIA 2022, POST-CARBON - Proceedings of the 27th CAADRIA Conference - vol. 1, Sydney, 9-15 April 2022, 772 p.
summary	The annual Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) conference provides an international community of researchers and practitioners with a venue to exchange, to discuss and to publish their latest ideas and accomplishments. These proceedings, consisting of two volumes, contain the research papers that were accepted for presentation at the 27th International CAADRIA Conference, organised jointly by the University of New South Wales, The University of Sydney, and the University of Technology Sydney. The papers in this publication have been selected through a two-stage, double-blind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication, translating to an acceptance rate of 30.7%. The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.
series	CAADRIA
email
last changed	2022/05/23 12:04

_id	caadria2022_169
id	caadria2022_169
authors	Xu, Hang and Wang, Tsung-Hsien
year	2022
title	An Integrated Parametric Generation and Computational Workflow to Support Sustainable City Planning
doi	https://doi.org/10.52842/conf.caadria.2022.1.535
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 535-544
summary	To examine how efforts in the built environment can contribute to global climate change mitigation at the urban scale, urban building energy modelling (UBEM) is one of the research areas gaining increasing interest in recent years. However, limited studies systematically illustrate a comprehensive UBEM workflow for most architects and urban planners considering available public datasets, particularly at the early conceptual design phase. In current UBEM studies, major challenges arise from the lack of fine-grained measured urban data and incompatibility between software. To address these challenges and support future sustainable cities and communities, this paper proposed a streamlined computational workflow of UBEM to facilitate sustainable urban design development. Through a case study of Sheffield in the UK, this paper demonstrated an automated and standardised computational workflow that can test the decarbonisation potential in built environments by evaluating energy demand and supply scenarios at an urban scale. This workflow is envisaged to be applicable at various scales of an urban region given an appropriate geographic information system (GIS) dataset.
keywords	Parametric Design Generation, Urban Sustainability, Urban Building Energy Modelling, Building Performance Simulation, Renewable Energy, Decarbonisation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ascaad2023_042
id	ascaad2023_042
authors	Žigmundová, Viktória; Suchánková, Kateøina; Stretavská, Antónia; Míèa, Jakub; Rayne, Taylor; Tsikoliya, Shota ; ,
year	2023
title	Additive Manufacturing of Mycelium Composites for Sustainable Landscape Architecture
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 863-877.
summary	This study explores the potential of mycelium composites as a sustainable and eco-friendly material for landscape architecture in the context of today's global climate and environmental crisis. Mycelium, the vegetative part of fungi, has shown promising properties such as acoustic and thermal insulation, biodegradability, and environmental performance (Vasatko et al., 2022). The central remit of this research is in proposing bespoke computational and robotic fabrication methods and workflows for investigating the performance of mycelial materials and observing their properties and growth response. Taken together, the topic of this paper is to illustrate the application and composition of such fabrication techniques as an integrated multi-material system, capable of combining the complex, organic relationships between clay, lignocellulosic substrate, and fungi with a focus on the potential of such composite materials for implementation within the built environment. Outlined here are the processes and procedures essential to this multi-material fabrication framework, including a detailed account of a series of substrate material mixtures and printed clay scaffold geometries, both of which exhibit properties informed by the material synthesis and fabrication process. We foremost propose the strategic mixing of different substrate types to be 3D printed with clay as a strategy for probing the optimization of mycelial overgrowth and binding to the 3D printed geometries. Subsequently, we proceed in detailing the study’s approach and process of 3D printing the mixtures of recycled material, drying the geometry, and sterilizing the final design once inoculated with the mycelium. Ultimately, we motivate this research in pursuit of further understanding of mycelium's material and mycoremediation capacities in service of more environmentally responsive and responsible architectural applications.
series	ASCAAD
email
last changed	2024/02/13 14:34

_id	caadria2022_277
id	caadria2022_277
authors	Akbar, Zuardin, Wood, Dylan, Kiesewetter, Laura, Menges, Achim and Wortmann, Thomas
year	2022
title	A Data-Driven Workflow for Modelling Self-Shaping Wood Bilayer, Utilizing Natural Material Variations with Machine Vision and Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2022.1.393
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 393-402
summary	This paper develops a workflow to train machine learning (ML) models with a small dataset from physical samples to predict the curvatures of self-shaping wood bilayers based on local variations in the grain. In contrast to state-of-the-art predictive models, specifically 1.) a 2D Timoshenko model and 2.) a 3D numerical model with a rheological model, our method accounts for natural and unavoidable material variations. In this paper, we only focus on local grain variations as the main driver for curvatures in small-scale material samples. We extracted a feature matrix from grain images of active and passive layers as a Grey Level Co-Occurrence Matrix and used it as the input for our ML models. We also analysed the impact of grain variations on the feature matrix. We trained and tested several tree-based regression models with different features. The models achieved very accurate predictions for curvatures in each sample (R;0.9) and extend the range of parameters that is incalculable by a Timoshenko model. This research contributes to the material-efficient design of weather-responsive shape-changing wood structures by further leveraging the use of natural material features and explainable data-driven modelling and extends the topic in ML for material behaviour-driven design among the CAADRIA community.
keywords	data-driven model, machine learning, material programming, smart material, timber structure, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	acadia22_58
id	acadia22_58
authors	Anton, Ana; Skevaki, Eleni; Bischof, Patrick; Reiter, Lex; Dillenburger, Benjamin
year	2022
title	Column-Slab Interfaces for 3D Concrete Printing
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 58-67.
summary	3D Concrete Printing (3DCP) currently dominates the scene of digital fabrication with concrete. 3DCP can be utilized on-site or in prefabrication setups. While prefabrication with 3DCP allows for more complex construction elements, it also requires the design for connections and assembly. In the context of prefabrication using 3DCP, this paper illustrates the state of research in the design, construction, and assembly of 3D printed components. It proposes segmentation and fabrication strategies to produce horizontal and vertical structural members of a column-slab building system following the typology of mushroom slabs.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	sigradi2022_211
id	sigradi2022_211
authors	Baltazar, Ana Paula; Bartholo, Beatriz; Moritani, Gustavo Jun; Paiva, Luísa; Cabral Filho, José
year	2022
title	Technological appropriations for socio-spatial transformation in Sao Gonçalo do Baçao
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 847–856
summary	Based on a university teaching-research-extension experience in Sao Gonçalo do Baçao (Minas Gerais, Brazil), this article discusses the use of digital technology as a way to expand the virtual, understood as an event in latent state, as a process of problematization and not of problem solving. Three digital interfaces developed with the common goal of encouraging questioning and the exercise of autonomy from different approaches and themes are presented. The interfaces seek to articulate the Flusserian idea of 'responsibility', regarded as the act of responding to others in a way that promotes an opening for people to continue the design process dialogically. In short, the interfaces indicate possibilities provided by digital technologies and exemplify ways in which they might drive processes towards social-spatial transformation.
keywords	Interactions, Technological appropriations, Sintegrity, Socio-spatial transformation, Sao Gonçalo do Baçao
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ecaade2022_299
id	ecaade2022_299
authors	Bauscher, Erik, Philipp, Klaus Jan, Reisinger, Stefanie and Wortmann, Thomas
year	2022
title	Reimagining Gego: Geometrical Reconstruction of Nubes, an Undocumented and Lost Sculpture from 1974
doi	https://doi.org/10.52842/conf.ecaade.2022.2.217
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 217–226
summary	This paper describes a method to understand and digitally reconstruct two sculptures by Gertrud Goldschmidt, a German-born, Venezuelan artist also called Gego. Gego is best known for her series of works called “Reticuláres”. These three-dimensional and open installations, mostly hanging freely in space, are playing with the concept and perception of space as well as challenging the definition of the traditional sculpture. The paper aims to generate information about two specific structures called “Nubes” (Clouds for Spanish) to assist in a physical reconstruction for a larger exhibition about Gego and to contribute to understanding Gego’s work process. Originally, the structures were suspended from a building's ceiling as an art installation in Caracas, 1974. There are three main challenges for this reconstruction: (1) The installations exhibit a complex three-dimensional geometry. (2) Scant drawings and photographs exist. (3) Gego might not have followed her initial drawings completely when building Nubes physically, because of the mentioned complexity and due to the light and bendable material properties of the employed material. The paper describes a computational process that recreates the object’s geometry in four steps: (1) Analyse all existing media of the structure. (2) Translate found information to the digital environment of Grasshopper. (3) Use a physical simulation to derive the end state of the hanging structure. (4) Optimize and tune the simulation with an optimization algorithm for better results. This paper demonstrates the usefulness of computational tools for reconstructing lost sculptures with little documentation. In this case, these tools allow a more accurate reconstruction and contribute to a fuller understanding of the design and realization process of Gego's Nubes.
keywords	Geometry Reconstruction, Lost Art, Computational Design, Physics Simulation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_285
id	ecaade2022_285
authors	Brasil, Alexander and Martinez, Andressa
year	2022
title	Potential for Social Housing Mass Customization in Brazil through the Integration between BIM and Algorithmic-Parametric Modeling
doi	https://doi.org/10.52842/conf.ecaade.2022.2.347
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 347–356
summary	This paper presents a design system for low-cost production of mass customized housing units, in the context of the city of Teresina, in Piaui State, Brazil. The platform stands for the integration between Building Information Modeling (BIM) and algorithmic parametric modeling systems. The research aims to verify the potential of this integration to enable the mass customization of social housing during the design process through the automation of design solutions and real-time visualization of construction data, such as building schedule and estimation of the final cost. The results demonstrated that real-time manipulation and visualization of data related to construction, using specific algorithmic- parametric routines, is capable of aiding designers in developing a solution that matches specific demands with cost and scheduling estimation control in a short period of time.
keywords	Housing, Mass customization, Algorithmic-Parametric Modeling, BIM
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_450
id	ecaade2022_450
authors	Braumann, Johannes, Gollob, Emanuel and Singline, Karl
year	2022
title	Visual Programming for Interactive Robotic Fabrication Processes - Process flow definition in robotic fabrication
doi	https://doi.org/10.52842/conf.ecaade.2022.2.427
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 427–434
summary	Visual, flow-based programming environments in architecture and design are built to control data flow but not process flow. However, controlling the process flow is essential for interacting with robotic fabrication processes, so that they can react to input such as user interaction or sensor data. In this research, we combine two visual programming environments, utilizing Grasshopper for defining complex, robotic toolpaths, and Unity Visual Scripting for controlling the overall process flow and process interaction. Through that, we want to enable architects and designers to define more complex, interactive production processes, with accessible, bespoke user-interfaces allowing non-experts to operate these processes - a crucial step for the commercialization of innovations. This approach is evaluated in a case study that creates a mobile, urban microfactory that prototypically fabricates location-specific objects through additive manufacturing.
keywords	Visual Programming, State Machine, Industrial Robotics, Unity Visual Scripting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_42
id	caadria2022_42
authors	Chen, Jielin and Stouffs, Rudi
year	2022
title	Robust Attributed Adjacency Graph Extraction Using Floor Plan Images
doi	https://doi.org/10.52842/conf.caadria.2022.2.385
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 385-394
summary	Architectural design solutions are intrinsically structured information with a broad range of interdependent scopes. Compared to conventional 2D Euclidean data such as orthographic drawings and perspectives, non-Euclidean data (e.g., attributed adjacency graphs) can be more effective and accurate for representing 3D architectural design information, which can be useful for numerous design tasks such as spatial analysis and reasoning, and practical applications such as floor plan parsing and generation. Thus, getting access to a matching attributed adjacency graph dataset of architectural design becomes a necessity. However, the task of conveniently acquiring attributed adjacency graphs from existing architectural design solutions still remains an open challenge. To this end, this project leverages state-of-the-art image segmentation techniques using an ensemble learning scheme and proposes an end-to-end framework to efficiently extract attributed adjacency graphs from floor plan images with diverse styles and varied levels of complexity, aiming at addressing generalization issues of existing approaches. The proposed graph extraction framework can be used as an innovative tool for advancing design research infrastructure, with which we construct a large-scale attributed adjacency graph dataset of architectural design using floor plan images retrieved in bulk. We have open sourced our code and dataset.
keywords	attributed adjacency graph, floor plan segmentation, ensemble learning, architectural dataset, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

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