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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	ecaade2020_290
id	ecaade2020_290
authors	Elesawy, Amr Alaaeldin, Signer, Mario, Seshadri, Bharath and Schlueter, Arno
year	2020
title	Aerial Photogrammetry in Remote Locations - A workflow for using 3D point cloud data in building energy modeling
doi	https://doi.org/10.52842/conf.ecaade.2020.1.723
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 723-732
summary	Building energy modelling (BEM) results are highly affected by the surrounding environment, due to the impact of solar radiation on the site. Hence, modelling the context is a crucial step in the design process. This is challenging when access to the geometrical data of the built and natural environment is unavailable as in remote villages. The acquisition of accurate data through conventional surveying proves to be costly and time consuming, especially in areas with a steep and complex terrain. Photogrammetry using drone-captured aerial images has emerged as an innovative solution to facilitate surveying and modeling. Nevertheless, the workflow of translating the photogrammetry output from data points to surfaces readable by BEM tools proves to be tedious and unclear. This paper presents a streamlined and reproducible approach for constructing accurate building models from photogrammetric data points to use for architectural design and energy analysis in early design stage projects.
keywords	Building Energy Modeling; Photogrammetry; 3D Point Clouds; Low-energy architecture; Multidisciplinary design; Education
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia16_470
id	acadia16_470
authors	Sollazzo, Aldo; Baseta, Efilena; Chronis, Angelos
year	2016
title	Symbiotic Associations
doi	https://doi.org/10.52842/conf.acadia.2016.470
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 470-477
summary	Soil contamination poses a series of important health issues, following years of neglect, constant industrialization, and unsustainable agriculture. It is estimated that 30% of the total cultivated soil in the world will convert to degraded land by 2020 (Rashid et al. 2016). Finding suitable treatment technologies to clean up contaminated water and soil is not trivial, and although technological solutions are sought, many are both resource-expensive and potentially equally unsustainable in long term. Bacteria and fungi have proved efficient in contributing to the bioavailability of nutrients and in aggregating formation in degraded soils (Rashid et al. 2016). Our research aims to explore the possible implementation of physical computing, computational analysis, and digital fabrication techniques in the design and optimization of an efficient soil remediation strategy using mycelium. The study presented here is a first step towards an overarching methodology for the development of an automated soil decontamination process, using an optimized bio-cell fungus seed that can be remotely populated using aerial transportation. The presented study focuses on the development of a methodology for capturing and modeling the growth of the mycelium fungus using photogrammetry-based 3D scanning and computational analysis techniques.
keywords	computational design, photogrammetry, simulation, mycelium, 3d scanning, growth strategies
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia20_436
id	acadia20_436
authors	Chun Hin Fong, Jacky; Long Wun Poon, Adabelle; Sze Ngan, Wing; Hei Ho, Chung; Goepel, Garvin; Crolla, Kristof
year	2020
title	Augmenting Craft with Mixed Reality
doi	https://doi.org/10.52842/conf.acadia.2020.1.436
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. 436-444.
summary	This paper discusses novel methods for and advantages of integrating augmented reality (AR) and photogrammetry in hand clay-sculpting workflows. These techniques permit nontrained users to achieve higher precision during the sculpting process by holographically overlaying instructions from digital 3D source geometry on top of the sculpting material. By employing alternative notational systems in design implementation methods, the research positions itself in a postdigital context aimed at humanizing digital technologies. Throughout history, devices have been developed to increase production, such as Henry Dexter’s 1842 “Apparatus for Sculptors” for marble sculpting. Extrapolating from this, the workflow presented in this paper uses AR to overlay extracted information from 3D models directly onto the sculptor’s field of vision. This information can then become an AR-driven guidance system that assists the sculptor. Using the Microsoft HoloLens, holographic instructions are introduced in the production sequence, connecting the analog sculpture fabrication directly with a digital environment, thus augmenting the craftspeople’s agency. A series of AR-aided sculpting methods were developed and tested in a demonstrator case study project that created a small-scale clay copy of Henry Moore’s Sheep Piece (1971–1972). This paper demonstrates how user-friendly software and hardware tools have lowered the threshold for end users to develop new methods that straightforwardly facilitate and improve their crafts’ effectiveness and agency. This shows that the fusion of computational design technology and AR visualization technology can innovate a specific craft’s design and production workflow, opening the door for further application developments in more architecture-specific fabrication contexts.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2023_99
id	ecaade2023_99
authors	Dervishaj, Arlind, Fonsati, Arianna, Hernández Vargas, José and Gudmundsson, Kjartan
year	2023
title	Modelling Precast Concrete for a Circular Economy in the Built Environment
doi	https://doi.org/10.52842/conf.ecaade.2023.2.177
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 177–186
summary	In recent years, there has been a growing interest in adopting circular approaches in the built environment, specifically reusing existing buildings or their components in new projects. To achieve this, drawings, laser scanning, photogrammetry and other techniques are used to capture data on buildings and their materials. Although previous studies have explored scan-to-BIM workflows, automation of 2D drawings to 3D models, and machine learning for identifying building components and materials, a significant gap remains in refining this data into the right level of information required for digital twins, to share information and for digital collaboration in designing for reuse. To address this gap, this paper proposes digital guidelines for reusing precast concrete based on the level of information need (LOIN) standard EN 17412-1:2020 and examines several CAD and BIM modelling strategies. These guidelines can be used to prepare digital templates that become digital twins of existing elements, develop information requirements for use cases, and facilitate data integration and sharing for a circular built environment.
keywords	building information modelling (BIM), circular construction, reuse, concrete
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2021_130
id	sigradi2021_130
authors	Hiilesmaa, Laura, Galbes Breda de Lima, Eduardo, Chieppe Carvalho, Leonardo, Wenzel Martins, Gisele and Vizioli, Simone Helena Tanoue
year	2021
title	Heritage Education: Computational Design of the Virtual Exhibition at the Cultural and Scientific Divulgation Center of USP
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 605–616
summary	During the current pandemic situation, in 2020/2021, there has been an increased need for easier remote access to cultural and heritage sites, especially on users’ smartphones and personal devices. The exhibition from the 40 years anniversary of the Cultural and Scientific Divulgation Center (CDCC) of the University of Sao Paulo (USP) was selected in order to accomplish the fundamental objectives of this study. The transition of its contents to digital media was enabled by three main technologies: 360° panoramic images, used broadly in the virtual tour; close-range photogrammetry for the creation of 3D models of objects, such as the bust of Dante Alighieri; and informative GIFs of the Transparent Woman of Dresden. As a result of the methodology proposed, this paper introduces a link with the virtual tour developed, presenting an important resource to spread a multidisciplinary knowledge about this meaningful built heritage of Sao Carlos (SP).
keywords	Fotogrametria, Imagens Panorâmicas 360°, Educaçao Patrimonial, Patrimônios Materiais, Tour Virtual 360°.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	sigradi2020_418
id	sigradi2020_418
authors	Neto, Olavo Avalone; Avalone, Marianne Costa
year	2020
title	CAPTURING THE ENVIRONMENT: using photogrammetry to register the built environment for simulation
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 418-424
summary	This study tested two forms of data gathering, three different methods of data registration, and two of modeling for the creation of 3D models of heritage landmarks. The applications on elements of three different scales were tested, a Cathedral, a Monument, and an Art Panel. The open-source Meshroom resulted in the best model in measures of mesh detail, reconstruction capability, and mesh refinement, regardless of the data acquisition method. Results may aid researchers and designers in choosing a workflow that suits their needs developing the best model possible, according to the tools they have at their disposal.
keywords	Photogrammetry, Mesh modeling, Reality capture, Cultural heritage, 3D models
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	acadia20_446
id	acadia20_446
authors	Norell, Daniel; Rodhe, Einar; Hedlund, Karin
year	2020
title	Completions
doi	https://doi.org/10.52842/conf.acadia.2020.1.446
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. 446-455.
summary	Reuse of construction and demolition waste tends to be exceptional rather than systemic, despite the fact that such waste exists in excess. One of the challenges in handling used elements and materials is integrating them into a digital workflow through means of survey and representation. Techniques such as 3D scanning and robotic fabrication have been used to target irregular geometries of such extant material. Scanning can be applied to digitally define a unique rather than standard stock of materials or, as in the field of preservation, to transfer specific forms and qualities onto a new stock. This paper melds these two approaches through Completions, a project that promotes reuse by integrating salvaged elements and materials into new assemblies. Drawing from the ancient practice of reuse known as spolia, the work develops from the identification and documentation of a varied set of used entities that become points of departure for subsequent design and production of new entities. This involves multiple steps, from locating and selecting used elements to scanning and fabrication. Three assemblies based on salvaged objects are produced: a window frame, a door panel, and a mantelpiece. Different means of documentation are outlined in relation to specific qualities of these objects, from photogrammetry to image and mesh-based tracing. Authentic qualities belonging to these elements, such as wear and patina, are coupled with more ambiguous forms and materialities only attainable through digital survey and fabrication. Finally, Completions speculates on how more automated workflows might make it feasible to develop extensive virtual catalogs of used objects that designers could interact with remotely.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_425
id	sigradi2020_425
authors	Vizioli, Simone Helena Tanoue; Adami, Andrea; Hiilesmaa, Laura; Carvalho, Leonardo Chieppe
year	2020
title	Comparative study of the photogrammetry process in different hardware
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 425-432
summary	Photogrammetry is not a new technology, but its use, nowadays is being potentiated either in urban projects, architecture, restoration of historical heritage and archaeological documentation, among others. In this research, the use of photogrammetry as an important tool in the preservation and documentation of cultural heritage will be addressed. The specific objective of the article is to analyze the photogrammetry modeling process: processing time, resolution quality and generated products, in 2 different hardware; highlighting its potentialities and deficiencies. The object of study is the Casa do Pinhal, an important historical heritage for the identity and memory of the city of Sao Carlos (SP-Brazil).
keywords	Photogrammetry, 3D Modeling, Metashape, Heritage education, Point cloud
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaade2020_137
id	ecaade2020_137
authors	Webb, Nicholas, Hillson, James, Peterson, John Robert, Buchanan, Alexandrina and Duffy, Sarah
year	2020
title	Documentation and Analysis of a Medieval Tracing Floor Using Photogrammetry, Reflectance Transformation Imaging and Laser Scanning
doi	https://doi.org/10.52842/conf.ecaade.2020.2.209
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 209-218
summary	The fifteenth-century tracing floor at Wells cathedral is an extremely rare survival in European architecture. Located in the roof space above the north porch, this plaster floor was used as a drawing and design tool by medieval masons, the lines and arcs inscribed into its surface enabling them to explore their ideas on a 1:1 scale. Many of these marks are difficult to see with the naked eye and existing studies of its geometry are reliant on manual retracing of its lines. This paper showcases the potential of digital surveying and analytical tools, namely photogrammetry, reflectance transformation imaging (RTI) and laser scanning, to extend our knowledge of the tracing floor and its use in the cathedral. It begins by comparing the recording processes and outputs of all three techniques, followed by a description of the digital retracing of the tracing floor to highlight lines and arcs on the surface. Finally, it compares these with digital surveys of the architecture of the cathedral cloister.
keywords	digital heritage; photogrammetry; reflectance transformation imaging; laser scanning; medieval design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2020_222
id	ecaade2020_222
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning
doi	https://doi.org/10.52842/conf.ecaade.2020.2.271
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 271-278
summary	Information extracted from aerial photographs is widely used in urban planning and design. An effective method for detecting buildings in aerial photographs is to use deep learning for understanding the current state of a target region. However, the building mask images used to train the deep learning model are manually generated in many cases. To solve this challenge, a method has been proposed for automatically generating mask images by using virtual reality 3D models for deep learning. Because normal virtual models do not have the realism of a photograph, it is difficult to obtain highly accurate detection results in the real world even if the images are used for deep learning training. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D models with textured aerial photographs for deep learning. The model trained on datasets generated by the proposed method could detect buildings in aerial photographs with an accuracy of IoU = 0.622. Work left for the future includes changing the size and type of mask images, training the model, and evaluating the accuracy of the trained model.
keywords	Urban planning and design; Deep learning; Semantic segmentation; Mask image; Training data; Automatic design
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia20_130
id	acadia20_130
authors	Newton, David
year	2020
title	Anxious Landscapes
doi	https://doi.org/10.52842/conf.acadia.2020.2.130
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. 130-137.
summary	Advances in the field of machine learning over the last decade have revolutionized artificial intelligence by providing a flexible means to build analytic, predictive, and generative models from large datasets, but the allied design disciplines have yet to apply these tools at the urban level to draw analytic insights on how the built environment might impact human health. Previous research has found numerous correlations between the built environment and both physical and mental health outcomes—suggesting that the design of our cities may have significant impacts on human health. Developing methods of analysis that can provide insight on the correlations between the built environment and human health could help the allied design disciplines shape our cities in ways that promote human health. This research addresses these issues and contributes knowledge on the use of deep learning (DL) methods for urban analysis and mental health, specifically anxiety. Mental health disorders, such as anxiety, have been estimated to account for the largest proportion of global disease burden. The methods presented allow architects, planners, and urban designers to make use of large remote-sensing datasets (e.g., satellite and aerial images) for design workflows involving analysis and generative design tasks. The research also contributes insight on correlations between anxiety prevalence and specific urban design features—providing actionable intelligence for the planning and design of the urban fabric.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_346
id	caadria2020_346
authors	Ortner, Frederick Peter and Huang, Jeffrey
year	2020
title	Modeling UAM Scenarios for Urban Design
doi	https://doi.org/10.52842/conf.caadria.2020.2.071
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 71-80
summary	Recent developments in unmanned aerial vehicles (UAVs), including drone delivery services and air taxis, are revolutionizing urban transport, leading to a new field of research referred to as Urban Air Mobility (UAM). While several contemporary efforts to computationally model future scenarios for UAM exist, in this paper we argue that these models tend to be narrowly conceived as air-space design and management tools and provide little information on ground-level impacts. This paper describes an ongoing effort to create UAM modelling tools useful specifically to urban designers as part of a push toward integration of urban airspace design with ground-level master-planning. Current functions permit designers to visualize drone-fleet origin-corridor-destination routes, generate a strategic model of UAM noise, and compare tradeoffs between UAM system efficiency and noise.
keywords	urban air mobility (UAM); urban design; data-driven design; simulation; parametric design
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ijac202018304
id	ijac202018304
authors	Aagaard, Anders Kruse and Niels Martin Larsen
year	2020
title	Developing a fabrication workflow for irregular sawlogs
source	International Journal of Architectural Computing vol. 18 - no. 3, 270-283
summary	In this article, we suggest using contemporary manufacturing technologies to integrate material properties with architectural design tools, revealing new possibilities for the use of wood in architecture. Through an investigative approach, material capacities and fabrication methods are explored and combined towards establishing new workflows and architectural expressions, where material, fabrication and result are closely interlinked. The experimentation revolves around discarded, crooked oak logs, doomed to be used as firewood due to their irregularity. This project treats their diverging shapes differently by offering unique processing to each log informed by its particularities. We suggest here a way to use the natural forms and properties of sawlogs to generate new structures and spatial conditions. In this article, we discuss the scope of this approach and provide an example of a workflow for handling the discrete shapes of natural sawlogs in a system that involve the collection of material, scanning/digitisation, handling of a stockpile, computer analysis, design and robotic manufacturing. The creation of this specific method comes from a combination of investigation of wood as a material, review of existing research in the field, studies of the production lines in the current wood industry and experimentation through our in-house laboratory facilities. As such, the workflow features several solutions for handling the complex and different shapes and data of natural wood logs in a highly digitised machining and fabrication environment. This up-cycling of discarded wood supply establishes a non-standard workflow that utilises non-standard material stock and leads to a critical articulation of today’s linear material economy. The project becomes part of an ambition to reach sustainable development goals and technological innovation in global and resource-intensive architecture and building industry.
keywords	Natural wood, robotic fabrication, computation, fabrication, research by design
series	journal
email
last changed	2020/11/02 13:34

_id	sigradi2020_953
id	sigradi2020_953
authors	Abdallah, Yomna K.; Estevez, Alberto T.
year	2020
title	Methodology of Implementing Transformative Bioactive Hybrids in Built Environment to Achieve Sustainability
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 953-961
summary	Discrete responsive systems lack functional autonomous transformation, in response to environmental conditions and users' demands; due to shortage in direct integration of biological intelligence. Bioactive hybrids are sufficient solutions as they perform independente self-replication, differentiation of cellular structure, active metabolism, spatial propagation, adaptation, transformation, and morphogenesis. In this paper, a methodology is proposed for the design, fabrication and implementation of these hybrids in the built environment; highlighting their sustainability potentials, by merging synthetic biology, bioengineering and bioprinting, to achieve multiscale active responsiveness. The current work is part of research in biosynthesizing fibroblasts as transformative material in architectural sustainability.
keywords	Transformative hybrids, Biodigital, Bioprinting, Robotic materials, Bioengineered systems
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	caadria2020_281
id	caadria2020_281
authors	Abdelmohsen, Sherif and Hassab, Ahmed
year	2020
title	A Computational Approach for the Mass Customization of Materially Informed Double Curved A Computational Approach for the Mass Customization of Materially Informed Double Curved Façade Panels
doi	https://doi.org/10.52842/conf.caadria.2020.1.163
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 163-172
summary	Despite recent approaches to enable the mass customization of double curved faÃ§ade panels, there still exist challenges including waste reduction, accuracy, surface continuity, economic feasibility, and workflow disintegration. This paper proposes a computational approach for the design and fabrication of materially informed double curved faÃ§ade panels with complex geometry. This approach proposes an optimized workflow to generate customizable double curved panels with complex geometry and different material properties, and optimize fabrication workflow for waste reduction. This workflow is applied to four different fabrication techniques: (1) vacuum forming, (2) clay extrusion, (3) sectioning, and (4) tessellation. Four experiments are introduced to apply surface rationalization and optimization using Rhino and Grasshopper scripting. Upon simulating each of the four design-to-fabrication techniques through different iterations, the experiment results demonstrated how the proposed workflows produced optimized surfaces with higher levels of accuracy and reduced waste material, customized per type of material and surface complexity.
keywords	Digital fabrication; Double curved facades; Mass customization; Design-to-fabrication
series	CAADRIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	caadria2020_443
id	caadria2020_443
authors	Abuzuraiq, Ahmed M. and Erhan, Halil
year	2020
title	The Many Faces of Similarity - A Visual Analytics Approach for Design Space Simplification
doi	https://doi.org/10.52842/conf.caadria.2020.1.485
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 485-494
summary	Generative design methods may involve a complex design space with an overwhelming number of alternatives with their form and design performance data. Existing research addresses this complexity by introducing various techniques for simplification through clustering and dimensionality reduction. In this study, we further analyze the relevant literature on design space simplification and exploration to identify their potentials and gaps. We find that the potentials include: alleviating the choice overload problem, opening up new venues for interrelating design forms and data, creating visual overviews of the design space and introducing ways of creating form-driven queries. Building on that, we present the first prototype of a design analytics dashboard that combines coordinated and interactive visualizations of design forms and performance data along with the result of simplifying the design space through hierarchical clustering.
keywords	Visual Analytics; Design Exploration; Dimensionality Reduction; Clustering; Similarity-based Exploration
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	cdrf2019_46
id	cdrf2019_46
authors	Adam Chernick, Christopher Morse, Steve London, Tim Li, David Ménard, John Cerone, and Gregg Pasquarelli
year	2020
title	On-Site BIM-Enabled Augmented Reality for Construction
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_5
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	We describe a prototype system for communicating building information and models directly to on-site general contractors and subcontractors. The system, developed by SHoP Architects, consists of a workflow of pre-processing information within Revit, post-processing information outside of Revit, combining data flows inside of a custom application built on top of Unity Reflect, and delivering the information through a mobile application on site with an intuitive user interface. This system incorporates augmented reality in combination with a dashboard of documentation views categorized by building element.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia21_530
id	acadia21_530
authors	Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year	2021
title	Robotic Timber Construction
doi	https://doi.org/10.52842/conf.acadia.2021.530
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by S. Parascho, J. Scott, and K. Dörfler. 530-537.
summary	Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	acadia20_516
id	acadia20_516
authors	Aghaei Meibodi, Mania; Voltl, Christopher; Craney, Ryan
year	2020
title	Additive Thermoplastic Formwork for Freeform Concrete Columns
doi	https://doi.org/10.52842/conf.acadia.2020.1.516
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. 516-525.
summary	The degree of geometric complexity a concrete element can assume is directly linked to our ability to fabricate its formwork. Additive manufacturing allows fabrication of freeform formwork and expands the design possibilities for concrete elements. In particular, fused deposition modeling (FDM) 3D printing of thermoplastic is a useful method of formwork fabrication due to the lightweight properties of the resulting formwork and the accessibility of FDM 3D printing technology. The research in this area is in early stages of development, including several existing efforts examining the 3D printing of a single material for formwork— including two medium-scale projects using PLA and PVA. However, the performance of 3D printed formwork and its geometric complexity varies, depending on the material used for 3D printing the formwork. To expand the existing research, this paper reviews the opportunities and challenges of using 3D printed thermoplastic formwork for fabricating custom concrete elements using multiple thermoplastic materials. This research cross-references and investigates PLA, PVA, PETG, and the combination of PLA-PVA as formwork material, through the design and fabrication of nonstandard structural concrete columns. The formwork was produced using robotic pellet extrusion and filament-based 3D printing. A series of case studies showcase the increased geometric freedom achievable in formwork when 3D printing with multiple materials. They investigate the potential variations in fabrication methods and their print characteristics when using different 3D printing technologies and printing materials. Additionally, the research compares speed, cost, geometric freedom, and surface resolution.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_400
id	sigradi2020_400
authors	Agirbas, Asli
year	2020
title	Pneumatic Structure with Kinetic Sub-system: A Proposal for Extraterrestrial Life
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 400-405
summary	Designing for extraterrestrial life is a very up-to-date issue. However, there are many constraints in this kind of designs. Designs that provide the best solution can only be obtained by identifying these constraints very well. In this study, a design concept was developed for life in Mars by considering various constraints. This design consists of a kinetic system with pneumatic structure. The preliminary scheme of this structure, which was planned to produce as a prototype, was discussed in the scope of this study.
keywords	Extraterrestrial architecture, Martian base, Pneumatic structure, Kinetic structures, Algorithmic and parametric design
series	SIGraDi
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last changed	2021/07/16 11:49

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