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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	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	acadia22_001
id	acadia22_001
authors	Akbarzadeh, Masoud; Aviv, Dorit; Jamelle, Hina; Stuart-Smith, Robert
year	2022
title	ACADIA 2022: Hybrids and Haecceities [Projects Catalog]
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. 240p.
summary	Hybrids & Haecceities seeks novel approaches to design and research that dissolve binary conditions and inherent hierarchies in order to embrace new modes of practice. Haecceities describe the qualities or properties of objects that define them as unique. Concurrently, Hybrids are entities with characteristics enhanced by the process of combining two or more elements with different properties. In concert, these terms offer a provocation toward more inclusive and specific forms of computational design. Hybrids & Haecceities aligns with a fundamental shift away from abstract generalized models of production toward greater degrees of customization at unprecedented scales, made possible by the Fourth Industrial Revolution. With greater reliance on cyber-physical systems, this shift supports more diverse and considered forms of embodiment and participation in the built environment. Conversely, the design and construction industries have profound global effects with significant political, economic, and environmental impacts. The urgent need to decarbonize buildings, and at the same time, provide equitable infrastructure to communities at risk, places responsibility on the design disciplines to form new collaborations in the effort to address today’s social and ecological crises.
series	ACADIA
type	projects catalog
email
last changed	2024/02/06 14:00

_id	acadia22_000
id	acadia22_000
authors	Akbarzadeh, Masoud; Aviv, Dorit; Jamelle, Hina; Stuart-Smith, Robert
year	2022
title	ACADIA 2022: Hybrids and Haecceities [Proceedings]
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. 839p.
summary	Hybrids & Haecceities seeks novel approaches to design and research that dissolve binary conditions and inherent hierarchies in order to embrace new modes of practice. Haecceities describe the qualities or properties of objects that define them as unique. Concurrently, Hybrids are entities with characteristics enhanced by the process of combining two or more elements with different properties. In concert, these terms offer a provocation toward more inclusive and specific forms of computational design. Hybrids & Haecceities aligns with a fundamental shift away from abstract generalized models of production toward greater degrees of customization at unprecedented scales, made possible by the Fourth Industrial Revolution. With greater reliance on cyber-physical systems, this shift supports more diverse and considered forms of embodiment and participation in the built environment. Conversely, the design and construction industries have profound global effects with significant political, economic, and environmental impacts. The urgent need to decarbonize buildings, and at the same time, provide equitable infrastructure to communities at risk, places responsibility on the design disciplines to form new collaborations in the effort to address today’s social and ecological crises.
series	ACADIA
type	proceedings
email
last changed	2024/02/06 14:00

_id	acadia22_694
id	acadia22_694
authors	Ashour,, Ziad; Yan, Wei
year	2022
title	BIMxAR: Building Information Modeling-Powered Augmented Reality
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. 694-703.
summary	In this study, we present an AR system prototype (BIMxAR), its new and accurate building-scale registration method (DL-3S-BIM) for aligning BIM and physical buildings, and its novel visualization features that facilitate the comprehension of building construction systems, materials configuration, and 3D section views of complex structures through the integration of AR, Building Information Modeling (BIM), and physical buildings.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	ecaade2022_16
id	ecaade2022_16
authors	Bailey, Grayson, Kammler, Olaf, Weiser, Rene, Fuchkina, Ekaterina and Schneider, Sven
year	2022
title	Performing Immersive Virtual Environment User Studies with VREVAL
doi	https://doi.org/10.52842/conf.ecaade.2022.2.437
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. 437–446
summary	The new construction that is projected to take place between 2020 and 2040 plays a critical role in embodied carbon emissions. The change in material selection is inversely proportional to the budget as the project progresses. Given the fact that early-stage design processes often do not include environmental performance metrics, there is an opportunity to investigate a toolset that enables early-stage design processes to integrate this type of analysis into the preferred workflow of concept designers. The value here is that early-stage environmental feedback can inform the crucial decisions that are made in the beginning, giving a greater chance for a building with better environmental performance in terms of its life cycle. This paper presents the development of a tool called LearnCarbon, as a plugin of Rhino3d, used to educate architects and engineers in the early stages about the environmental impact of their design. It facilitates two neural networks trained with the Embodied Carbon Benchmark Study by Carbon Leadership Forum, which learns the relationship between building geometry, typology, and construction type with the Global Warming potential (GWP) in tons of C02 equivalent (tCO2e). The first one, a regression model, can predict the GWP based on the massing model of a building, along with information about typology and location. The second one, a classification model, predicts the construction type given a massing model and target GWP. LearnCarbon can help improve the building life cycle impact significantly through early predictions of the structure’s material and can be used as a tool for facilitating sustainable discussions between the architect and the client.
keywords	Pre-Occupancy Evaluation, Immersive Virtual Environment, Wayfinding, User Centered Design, Architectural Study Design
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_243
id	sigradi2022_243
authors	Banda, Pablo; Carrasco-Pérez, Patricio; García-Alvarado, Rodrigo; Munoz-Sanguinetti, Claudia
year	2022
title	Planning & Design Platform of Buildings By Robotic Additive Manufacturing for Construction.
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. 421–430
summary	The following paper describes and comments a construction planning platform for the Additive Manufacturing of wall modules, as a set of design and planning actions that interwove robotic, material capacities and spatial characteristics. Goal here is to take semi-conventional strategy and augment the algorithmic process for design and knowledge acquisition regarding design oriented to 3D Printing Construction.
keywords	Additive Manufacturing for Construction, 3D Printing, Digital Fabrication, Parametric Design
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	caadria2022_357
id	caadria2022_357
authors	Bedarf, Patrick, Szabo, Anna, Zanini, Michele, Heusi, Alex and Dillenburger, Benjamin
year	2022
title	Robotic 3D Printing of Mineral Foam for a Lightweight Composite Concrete Slab
doi	https://doi.org/10.52842/conf.caadria.2022.2.061
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. 61-70
summary	This paper presents the design and fabrication of a lightweight composite concrete slab prototype using 3D printing (3DP) of mineral foams. Conventionally, concrete slabs are standardized monolithic elements that are responsible for a large share of used materials and dead weight in concrete framed buildings. Optimized slab designs require less material at the expense of increasing the formwork complexity, required labour, and costs. To address these challenges, foam 3D printing (F3DP) can be used in construction as demonstrated in previous studies for lightweight facade elements. The work in this paper expands this research and uses F3DP to fabricate the freeform stay-in-place formwork components for a material-efficient lightweight ribbed concrete slab with a footprint of 2 x 1.3 m. For this advancement in scale, the robotic fabrication and material processing setup is refined and computational design strategies for the generation of advanced toolpaths developed. The presented composite of hardened mineral foam and fibre-reinforced ultra-high-performance concrete shows how custom geometries can be efficiently fabricated for geometrically complex formwork. The prototype demonstrates that optimized slabs could save up to 72% of total concrete volume and 70% weight. The discussion of results and challenges in this study provides a valuable outlook on the viability of this novel fabrication technique to foster a sustainable and resourceful future construction culture.
keywords	robotic 3d-printing, mineral foam, stay-in-place formwork, concrete composite, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220310
id	ijac202220310
authors	Castro Henriques, Goncalo; Pedro Maciel Xavier; Victor de Luca Silva; Luca Rédua Bispo; Joao Victor Fraga
year	2022
title	Computation for Architecture, hybrid visual and textual language: Research developments and considerations about the implementation of structural imperative and object-oriented paradigms
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 3, pp. 673–687
summary	In the fourth industrial revolution, programming promises to be a fundamental subject like mathematics, science, languages or the arts. Architects design more than buildings developing innovative methods and they are among the pioneers in visual programming development. However, after more than 10 years of visual programming in architecture, despite the fast-learning curve, visual programming presents considerable limitations to solve complex problems. To overcome limitations, the authors propose to associate the advantages of visual and textual languages in Python. The article addresses an ongoing research study to implement Computational Methods in Architectural Education. The authors began by describing the general goal of this project, and of this article in particular. This article focuses on the implementation of two disciplines ‘Computation for Architecture in Python’ I and II. The first discipline uses programming based on the construction of functions in the imperative language, implemented in the text editor, in visual programming, using Grasshopper methods. The second discipline, which is under development, intends to teach object-oriented programming. The results of the first discipline are encouraging; despite reported difficulties in programming fundamentals, such as lists, loops and recursion. The development of the second discipline, in object-oriented programming, deals with the concepts of classes and objects, and more abstract principles such abstraction, inheritance, polymorphism or encapsulation. This paradigm allows building robust programs, but requires a more in-depth syntax. The article reports this ongoing research on this new paradigm of object-oriented language, expanding the application of a hybrid visual-textual language in Architecture
keywords	computation, textual programming, visual programming, imperative programming, object oriented programming
series	journal
last changed	2024/04/17 14:30

_id	sigradi2022_235
id	sigradi2022_235
authors	Costa de Jesus, Christian; Chokyu, Margaret; Gomes, Rafael
year	2022
title	School Grammar: An Exploration on Computational Processes in Architecture
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. 359–370
summary	Standard design for schools in underdeveloped countries seems to be the key to lowering the cost of the whole building process, from design to construction. But since it might not be suitable for different situations, the range of each design is limited. This paper presents a parametric algorithm intended to provide mass customized Architectural solutions for school buildings. A Shape Grammar based methodology for customized school designs is proposed. A set of rules is defined based on chosen characteristics in a corpus of analysis and then is implemented in an open-source modeling software. The algorithm proposed is able to provide solutions for different lots and number of students assisted.
keywords	Shape Grammars, School Architecture, Mass Customized Design, Design Methods, Open-Source Software
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	sigradi2022_66
id	sigradi2022_66
authors	Garcia-Alvarado, Rodrigo; Banda Perez, Pablo; Moroni Orellana, Ginnia
year	2022
title	Architectural Diversity of Residential Buildings through Digital Design and Robotic Construction
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. 957–966
summary	The housing demand in Latin America has promoted to build big complexes with repetitive designs to ensure their execution and commercialization, but neglecting the differences in occupation, cultures, ages, abilities, genders, climates and locations. Producing low quality, environmental deterioration and social alienation. This work exposes a parametric programming and robotic construction strategy to develop a varied residential process. Based on structural volumes and 3d-printed walls, to provide a diversity of housing configurations. The modular generation of volumes and development of the envelope is programmed to meet various thermal and occupational conditions, with printing trajectories for the walls according to the equipment, execution processes and material capacities. A repertoire of 494 residential volumes has been defined and prototype walls have been made, suggesting an innovative design system, wich provides a new paradigm for housing construction with digital technologies and robotic execution to diversify residential quality.
keywords	Inclusive Design, Housing, Parametric Design, Robotics, Digital Fabrication
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ijac202220102
id	ijac202220102
authors	Giesecke, Rena; Benjamin Dillenburger
year	2022
title	Large-scale Robotic Fabrication of Polychromatic Relief Glass
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 18–30
summary	This research investigates a new digital fabrication method for large-scale polychromatic glass elements. Glass elements with locally differentiated properties usually require manual labor or are limited to film applications of secondary materials that are incapable of producing material texture and relief in glass. To create mono- material glass elements for buildings with customized color, opacity, and relief present in the same glass element, this research investigates a novel robotic multi-channel printing process for industrial float glass. Mono-material polychromatic glasses do not require any additional material and can be fully recycled. This paper presents a design-to-production workflow for the construction scale within feasible cost. Investigations include kilning and material considerations, multi-channel tool and fabrication setup, tool path generation, process parameter calibration, and large-scale prototyping. The co-occurrence of locally varying opacities, colors, material textures, and relief within one glass element enabled by the presented robotic fabrication method could allow for novel optical and decorative features in facades and windows.
keywords	Additive manufacturing, robotic fabrication, multi-color printing, large-scale, glass, float glass
series	journal
last changed	2024/04/17 14:29

_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_284
id	caadria2022_284
authors	Hu, Huiyao, Bui, Do Phuong Tung and Janssen, Patrick
year	2022
title	Continuous Adaptability: Web-Based Residential Participatory Design Using Modular Prefabricated Construction
doi	https://doi.org/10.52842/conf.caadria.2022.2.495
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. 495-504
summary	High-rise residences are typically very homogeneous and only allow for very limited variability in apartment configurations. Since the 1960s, practitioners and researchers have been exploring alternative visions of adaptable housing solutions that involve residents in the design process. Recent research has proposed digital platforms for residential participatory design. However, methods of modifying apartment configurations after building construction have not yet been developed in detail. This paper suggests a high-rise housing system that supports continuous adaptation and a web application that facilitates participatory design. The proposed construction system leverages on the prefabricated building modules and the open building concept to allow constant renewal of its non-structural building parts. This is complimented by a preliminary prototype of an online platform developed to streamline the design, negotiation and transaction of apartments by the homebuyers. The research conceptually investigates the potential of modern technology in redefining the role of architects and the relationship between residents and their buildings.
keywords	participatory design, modularity, prefabrication, open building, user-driven design, web application, self-renewal, SGD 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_161
id	ecaade2022_161
authors	Kharbanda, Kritika, Papadopoulou, Iliana, Pouliou, Panagiota, Daw, Karim, Belwadi, Anirudh and Loganathan, Hariprasath
year	2022
title	LearnCarbon - A tool for machine learning prediction of global warming potential from abstract designs
doi	https://doi.org/10.52842/conf.ecaade.2022.2.601
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. 601–610
summary	The new construction that is projected to take place between 2020 and 2040 plays a critical role in embodied carbon emissions. The change in material selection is inversely proportional to the budget, as the project progresses. Given the fact that early-stage design processes often do not include environmental performance metrics, there is an opportunity to investigate a toolset that enables early-stage design processes to integrate this type of analysis into the preferred workflow of concept designers. The value here is that early-stage environmental feedback can inform the crucial decisions that are made in the beginning, giving a greater chance for a building with better environmental performance in terms of its life cycle. This paper presents the development of a tool called LearnCarbon, as a plugin of Rhino3d, used to educate architects and engineers in the early stages about the environmental impact of their design. It facilitates two neural networks trained with the Embodied Carbon Benchmark Study by Carbon Leadership Forum, which learn the relationship between building geometry, typology, and structure with the Global Warming potential in tCO2e. The first one, a regression model, is able to predict the GWP based on the massing model of a building, along with information about typology and location. The second one, a classification model, predicts the construction type given a massing model and target GWP. LearnCarbon can help improve the building life cycle impact significantly, through early predictions of the structure’s material, and can be used as a tool for facilitating sustainable discussions between the architect and the client.
keywords	Machine Learning, Carbon Emissions, LCA, Rhino Plug-in
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_471
id	caadria2022_471
authors	Kim, Taehoon, Hong, Soonmin, Panya, David Stephen, Gu, Hyeongmo, Park, Hyejin, Won, Junghye and Choo, Seungyeon
year	2022
title	Development of Technology for Automatic Extraction of Architectural Plan Wall Lines for Concrete Waste Prediction Using Point Cloud
doi	https://doi.org/10.52842/conf.caadria.2022.2.597
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. 597-606
summary	Recently, as more and more projects on residential environment improvement in cities are actively carried out, the cases of demolishing or remodelling buildings has been increasing. Most of the target buildings for such projects are made of concrete. In order to reduce energy use as well as carbon emissions, the amount of concrete used as a building material should be reduced. This is because the concrete is the largest amount of construction waste, which the exact amount of concrete needs to be predicted. The architectural drawings are essential for the estimation and demolition of building waste, but the problem is that most of the old buildings' drawings do not exist. The 3D scanning process was performed to create the plans for such old buildings instead of the conventional method that is long time-consuming and labour-intensive actual measurement. In this study, we scanned 40 old houses that were scheduled to be demolished. The result showed that the 3D scanned drawings' accuracy - 99.2% - was higher than the ones measured by the conventional way. Through the algorithm developed in this study, the various processes of demolition, drawing measurement, and discarding quantity prediction can be solved in one process, thereby reducing work efficiently. And, considering the reliability of the research results, it is possible to reduce the economic loss by predicting the exact amount of waste in advance. After that, if the algorithm, developed in this study, can be further subdivided and supplemented to identify the materials for each part of the old buildings, it will be able to propose an efficient series of processes that distinguish between recyclable materials and wastes and thereby efficiently dispose of them. 0864108000
keywords	Point Cloud, Construction Waste, Parametric Design, Algorithm, Automatic Extraction, SDG 8
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_302
id	ecaade2022_302
authors	Lu, Xin, Meng, Zeyuan, Rodriguez, Alvaro Lopez and Pantic, Igor
year	2022
title	Reusable Augmented Concrete Casting System - Accessible method for formwork manufacturing through holographic guidance
doi	https://doi.org/10.52842/conf.ecaade.2022.1.371
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 1, Ghent, 13-16 September 2022, pp. 371–380
summary	Reinforced concrete has been one of the essential materials for modern architecture for the last hundred years. Its use is entirely global, having been adopted by all cultures and styles since its invention in the late 19th century. Although its value is excellent due to its low cost, durability and adaptability, its environmental impact is significant, being, in fact, one of the most polluting industries in the world (Babor et al. 2009). This experimental project will research a more sustainable use of concrete, exploring a new form of reusable concrete formwork that will ideally reduce the CO2 footprint by removing wood waste in the casting process and replacing it with adaptable metal components. The modular part-based system for the concrete casting also attempts to simplify one of the current complexities for concrete construction, the Skilled-Labour shortage. (Yusoff et al. 2021). To mitigate this problem, the project also proposes using an Augmented Assembly logic for the casting parts to guide the ensemble and dismantle the formwork through an optimised algorithmic logic. The use of Augmented Reality as a replacement for traditional paper instructions will facilitate access to more workers to this construction art and potentially improve access to optimised use of concrete in developing communities with restricted building technological resources.
keywords	Mixed Reality, Distributed Manufacturing, Augmented Manufacturing, Sustainability, Computational Design, Concrete Casting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	cdrf2022_408
id	cdrf2022_408
authors	Marcus Farr
year	2022
title	Bio-digital Sand Logics: Dune Sand Material and Computational Design
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_35
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	This paper discusses the creation of a new sand-based material, performative testing, and the computational logic involved in the design of a prototypical architectural system. Dune sand is known to be an unstable material compared to river or marine sand and as a result it is not normally used for construction. Because of this, desert regions have grown a reliance upon imported materials creating massive sustainability issues due to large scale global shipping, importation and resource extraction. This research indicates there is a viable opportunity to leverage dune sand as an ongoing line of inquiry for material science and design in local desert regions. It establishes that there is very little architectural research being done in this particular area. The methodology begins with experiments in bio-material using dune sand as a compound, and then establishes a construction system based upon a manifold of experiments. Along with material investigations, the process uses a Scientific Testing Method (STM) and Hypothesis in Action (HIA) as part of the testing methodology.
series	cdrf
email
last changed	2024/05/29 14:03

_id	acadia22_290
id	acadia22_290
authors	Mun, Kristine; Bogosian, Biayna
year	2022
title	Experimentations in Neuroscience for Architecture
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. 290-293.
summary	Integrating computational methods in design and construction has intensified the discipline’s focus on quantifying buildings and occupants. However, when quantifying the human body, the metrics are often related to the physical dimensions (proportions, loads, heat, cold) and not psychological or psychophysical (stress, perception, emotion). This Field Note builds on the authors’ experience and research focused on a ‘Neuroscience for Architecture’ approach to designing healthier environments
series	ACADIA
type	field note
email
last changed	2024/02/06 14:00

_id	caadria2022_505
id	caadria2022_505
authors	Nanasca, James and Beebe, Aaron G.
year	2022
title	Dynamic Projection
doi	https://doi.org/10.52842/conf.caadria.2022.1.039
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. 39-48
summary	Rarely are technologies of projection mapping (PM) and mixed reality (MR) used together with an architectural agenda. Dynamic Projection imagines the confluence of accessible PM and MR technologies and asks "How might we leverage the strengths of both technologies while obviating their weaknesses?‚ And then "How might this technology be of use in making architecture from within the Climate Movement?‚ First, we will examine the dormant potential of Projected MR by augmenting a physical model in an exhibition setting. The exhibition set-up deploys Unity and Vuforia to generate MR, and Mad Mapper to generate a projection mapped background space. Using this set-up reveals strengths in both technologies, which we can evaluate with a Cybernetically Enhanced Mixed Reality Framework. We can leverage this Projected MR as a suite of tools to make architecture a more active participant in the Climate Movement: for example, by augmenting buildings with statistics that could help reduce energy consumption or through the augmentation of the construction process, helping facilitate waste reduction through efficient construction. Our initial research is being expanded through development of a more versatile Projected MR platform with Dynamic Projection 02, in which we are utilizing better MR tools, more responsive PM tools, and an industrial robot to simulate various dynamic feedback systems. This expanded research design speculates on a 3-part exhibition that can respond with low latency via Projected MR controls during a public and private interactive experience.
keywords	Projection Mapping, Augmented Reality, Projected Augmented Reality, Cybernetics, Mixed Reality, Responsible Consumption and Production, Climate Action, SDG 12, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

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