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	caadria2021_117
id	caadria2021_117
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Can a Generative Adversarial Network Remove Thin Clouds in Aerial Photographs? - Toward Improving the Accuracy of Generating Horizontal Building Mask Images for Deep Learning in Urban Planning and Design
doi	https://doi.org/10.52842/conf.caadria.2021.2.377
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 377-386
summary	Information extracted from aerial photographs is widely used in the fields of urban planning and architecture. An effective method for detecting buildings in aerial photographs is to use deep learning to understand the current state of a target region. However, the building mask images used to train the deep learning model must be manually generated in many cases. To overcome this challenge, a method has been proposed for automatically generating mask images by using textured 3D virtual models with aerial photographs. Some aerial photographs include thin clouds, which degrade image quality. In this research, the thin clouds in these aerial photographs are removed by using a generative adversarial network, which leads to improvements in training accuracy. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D virtual models with textured aerial photographs to enable the removable of thin clouds so that the image can be used for deep learning. A model trained on datasets generated by the proposed method was able to detect buildings in aerial photographs with an accuracy of IoU = 0.651.
keywords	Urban planning and design; Deep learning; Generative Adversarial Network (GAN); Semantic segmentation; Mask image
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2021_037
id	ecaade2021_037
authors	Kikuchi, Takuya, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Automatic Diminished Reality-Based Virtual Demolition Method using Semantic Segmentation and Generative Adversarial Network for Landscape Assessment
doi	https://doi.org/10.52842/conf.ecaade.2021.2.529
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 529-538
summary	In redevelopment projects in mature cities, it is important to visualize the future landscape. Diminished reality (DR) based methods have been proposed to represent the future landscape after the structures are removed. However, two issues remain to be addressed in previous studies. (1) the user needs to prepare 3D models of the structure to be removed and the background structure to be rendered after removal as preprocessing, and (2) the user needs to specify the structure to be removed in advance. In this study, we propose a DR method that detects the objects to be removed using semantic segmentation and completes the removal area using generative adversarial networks. With this method, virtual removal can be performed without preparing 3D models in advance and without specifying the removal target in advance. A prototype system was used for verification, and it was confirmed that the method can represent the future landscape after removal and can run at an average speed of about 8.75 fps.
keywords	landscape visualization; virtual demolition; diminished reality (DR); deep learning; generative adversarial network (GAN); semantic segmentation
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia21_112
id	acadia21_112
authors	Kahraman, Ridvan; Zechmeister, Christoph; Dong, Zhetao; Oguz, Ozgur S.; Drachenberg, Kurt; Menges, Achim; Rinderspacher, Katja
year	2021
title	Augmenting Design
doi	https://doi.org/10.52842/conf.acadia.2021.112
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 B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 112-121.
summary	In recent years, generative machine learning methods such as variational autoencoders (VAEs) and generative adversarial networks (GANs) have opened up new avenues of exploration for architects and designers. The presented work explores how these methods can be expanded by incorporating multiple abstract criteria directly into the formulation of the algorithm that negotiates these complex criteria and proposes a fitting design. It draws inspiration from the works of several design theorists who have developed such goal-oriented approaches to design, and sets up multiple-objective VAE and GAN frameworks with this idea in mind. The research demonstrates that by incorporating multiple constraints using auxiliary discriminator networks, the developed algorithms are able to generate innovative solutions to two example problems: the design of 2D digits, and the design of 3D voxel chairs. By speculating and examining the role of the designer in data based generative computational design workflows, the research aims to provide an approach for solving design tasks in the age of big data.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_038
id	ecaade2021_038
authors	Nakabayashi, Mizuki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Mixed Reality Landscape Visualization Method with Automatic Discrimination Process for Dynamic Occlusion Handling Using Instance Segmentation
doi	https://doi.org/10.52842/conf.ecaade.2021.2.539
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 539-546
summary	Mixed reality (MR), which blends real and virtual worlds, has attracted attention as a visualization method in landscape design. MR-based landscape visualization enables stakeholders to examine landscape changes at actual scale in real-time at the actual project site. One challenge in MR-based landscape visualization is occlusion, which occurs when virtual objects obscure physical objects that are in the foreground. Previous research proposed an MR-based landscape visualization method with dynamic occlusion by using semantic segmentation of deep learning. However, this method has two problems. The first is that the same kind of objects that are grouped into one or overlapped types are classified as the same object, and the other is that the foreground objects have to be defined in pre-processing. In this study, we developed a system for large-scale MR landscape visualization that enables the recognition of each physical object individually using instance segmentation, and it is possible to accurately represent the positional relationship by comparing the coordinate information of the 3D virtual model and all physical objects.
keywords	landscape visualization; mixed reality; instance segmentation; dynamic occlusion handling; deep learning
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2021_053
id	caadria2021_053
authors	Rhee, Jinmo and Veloso, Pedro
year	2021
title	Generative Design of Urban Fabrics Using Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2021.1.031
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 31-40
summary	This paper describes the Urban Structure Synthesizer (USS), a research prototype based on deep learning that generates diagrams of morphologically consistent urban fabrics from context-rich urban datasets. This work is part of a larger research on computational analysis of the relationship between urban context and morphology. USS relies on a data collection method that extracts GIS data and converts it to diagrams with context information (Rhee et al., 2019). The resulting dataset with context-rich diagrams is used to train a Wasserstein GAN (WGAN) model, which learns how to synthesize novel urban fabric diagrams with the morphological and contextual qualities present in the dataset. The model is also trained with a random vector in the input, which is later used to enable parametric control and variation for the urban fabric diagram. Finally, the resulting diagrams are translated to 3D geometric entities using computer vision techniques and geometric modeling. The diagrams generated by USS suggest that a learning-based method can be an alternative to methods that rely on experts to build rule sets or parametric models to grasp the morphological qualities of the urban fabric.
keywords	Deep Learning; Urban Fabric; Generative Design; Artificial Intelligence; Urban Morphology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia21_420
id	acadia21_420
authors	Shaker, Aya; Khader, Noor; Reiter, Lex; Anton, Ana
year	2021
title	3D Printed Concrete Tectonics
doi	https://doi.org/10.52842/conf.acadia.2021.420
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 B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 420-427.
summary	Digital fabrication technologies and additive manufacturing techniques opened new opportunities and new challenges for the construction industry. Particularly, Concrete Extrusion 3D Printing (CE3DP) introduces valuable opportunities for large-scale architectural elements. However, segmentation and assembly strategies haven’t been developed, and it remains a limiting factor for the expansion of concrete 3d printing to an industrial scale. In this context, the present research focuses on the design and fabrication possibilities of assembly interfaces, an essential topic for scaled-up 3D printed concrete components. Therefore, dry assembly interfaces in different printing orientations are prototyped to investigate characteristics and limitations of connection options.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
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. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2021_250
id	caadria2021_250
authors	Aghaei Meibodi, Mania, Odaglia, Pietro and Dillenburger, Benjamin
year	2021
title	Min-Max: Reusable 3D printed formwork for thin-shell concrete structures - Reusable 3D printed formwork for thin-shell concrete structures
doi	https://doi.org/10.52842/conf.caadria.2021.1.743
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 743-752
summary	This paper presents an approach for reusable formwork for thin-shell, double-sided highly detailed surfaces based on binder jet 3D printing technology. Using binder jetting for reusable formwork outperforms the milled and 3D printed thermoplastic formwork in terms of speed and cost of fabrication, precision, and structural strength against deformation. The research further investigated the synergy of binder jetting sandstone formwork with glass-fiber reinforced concrete (GFRC) to fabricate lightweight, durable, and highly detailed facade elements.We could demonstrate the feasibility of this approach by fabricating a minimal surface structure assembled from 32 glass-fiber reinforced concrete elements, cast with 4 individual formwork elements, each of them reused 8 times. By showing that 3D printed (3DP) formwork cannot only be used once but also for small series production we increase the field of economic application of 3D printed formwork. The presented fabrication method of formwork based on additive manufacturing opens the door to more individualized, freeform architecture.
keywords	Binder Jet 3D Printing; 3D Printed Formwork; Reusable Formwork; Minimal Surface; GFRC (GRC)
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ascaad2021_008
id	ascaad2021_008
authors	Alabbasi, Mohammad; Han-Mei Chen, Asterios Agkathidis
year	2021
title	Assessing the Effectivity of Additive Manufacturing Techniques for the Production of Building Components: Implementing Innovation for Housing Construction in Saudi Arabia
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 214-226
summary	This paper examines the suitability of existing robotic technologies and large-scale 3D printing techniques for the fabrication of three-dimensional printed building components to be applied in the Saudi housing construction industry. The paper assesses a series of cases based on the applications for 3D-printing cement-based materials in construction. In particular, we investigate five different additive manufacturing techniques and evaluate their performance in terms of their flexibility/mechanism, control/navigation, calibration/operation system, fabrication suitability (in-situ or off-site), size of printed components, printing speed. The findings include in a matrix chart, where the advantages and disadvantages of each technique become evident. The paper further evaluates the suitability of each technique in relation to the particular climatical and socio-political context of Saudi Arabia, applicable to other construction industries with similar conditions.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_007
id	ascaad2021_007
authors	Alabbasi, Mohammad; Han-Mei Chen, Asterios Agkathidis
year	2021
title	Developing a Design Framework for the 3D Printing Production of Concrete Building Components: A Case Study on Column Optimization for Efficient Housing Solutions in Saudi Arabia
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 713-726
summary	This paper is examining the development of a design and fabrication framework aiming to increase the efficiency of the construction of concrete building components by introducing 3D concrete printing in the context of Saudi Arabia. In particular, we will present an algorithmic process focusing on the design and fabrication of a typical, mass customised, single-family house, which incorporates parametric modelling, topology optimisation, finite element (FE) analysis and robotic 3D printing techniques. We will test and verify our framework by designing and fabricating a loadbearing concrete column with structural and material properties defined by the Saudi Building Code of Construction. Our findings are highlighting the advantages and challenges of the proposed file-to-factory framework in comparison to the conventional construction methods currently applied in Saudi Arabia, or other similar sociopolitical contexts. By comparing the material usage in both conventional and optimised columns, the results have shown that material consumption has been reduced by 25%, the required labour in the construction site has been mitigated by 28 and the duration time has been reduced by 80% without the need for formwork.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ecaade2021_060
id	ecaade2021_060
authors	Antinozzi, Sara, Ronchi, Diego, Fiorillo, Fausta and Barba, Salvatore
year	2021
title	3Dino: Configuration for a Micro-Photogrammetric Survey - Applying Dino-Lite microscope for the digitalization of a cuneiform tablet
doi	https://doi.org/10.52842/conf.ecaade.2021.2.211
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 211-222
summary	Close-range photogrammetry, due to the possibilities offered by the technological evolution of acquisition tools and, above all, the relative original challenges posed to surveyors and the theory of measurements, deserve constant critical attention. The new opportunities to detect and represent reality are mostly focused on historical architecture, referring to consequent orders of magnitude and restitution scales. On the other hand, the formalization of relevant practices for very small objects is not frequently addressed. In recent tests carried out using two Dino-Lite handheld digital microscope models, polarized light digital microscopes generally used in medical and industrial fields, we proved the potential of using these imaging systems also for Cultural Heritage documentation, highlighting, however, some issues related to the depth of field and the consequent acquisition geometry. Therefore, this study aims to solve these problems, increasing the performance of microscopic photogrammetry by optimizing the acquisition procedures with the design of custom accessories for micro-photogrammetry (e.g. a calibrated plate). These developments will be carried out as part of a technology transfer agreement with the Dino-Lite company pointed to codify a protocol for high accuracy photogrammetric documentation of small artefacts.
keywords	Digital Heritage; Small artefacts; Detailed 3D shape; Handheld microscope
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2021_28
id	sigradi2021_28
authors	Atsumi, Kei, Hanazato, Toshihiro and Kato, Osamu
year	2021
title	The Assembly and Fabrication of Double Curved Panel Structure Using Japanese wood Joints created by Desktop 3D Printers
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. 1245–1255
summary	This research presents a new direction for freeform structure assembly and fabrication through the collaboration of 3D printing technology and Japanese wood joining technology. Full-scale, self-build prototyping is demonstrated without glue or metal fittings. Rather than relying on digital fabrication machines to match the architectural scale, this study utilizes the Fused Filament Fabrication (FFF) with desktop 3D printers, which is the most widespread and inexpensive printing technology. By incorporating the perspectives of wood joinery and compact 3D printers, this study promotes a drastic change in 3D printed architectural production from a massive structure-oriented system to a module-oriented system. The project demonstrates how artisanal knowledge integrates with 3D printing architectural production by reconfiguring joint geometry, parametric modeling, fabrication, and assembly processes. We discuss our research process and final achievements, and we provide new ideas for architectural production using digital fabrication.
keywords	Digital fabrication, Assembly, Japanese wood joints, 3D printing, Double- curved panel structure
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	cdrf2021_368
id	cdrf2021_368
authors	B. Bala Murali Kumar, Yun Chung Hsueh, Zhuoyang Xin, and Dan Luo
year	2021
title	Process and Evaluation of Automated Robotic Fabrication System for In-Situ Structure Confinement
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_34
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	The additive manufacturing process is gaining momentum in the construction industry with the rapid progression of large-scale 3D printed technologies. An established method of increasing the structural performance of concrete is by wrapping it with Fibre Reinforced Polymer (FRP). This paper proposes a novel additive process to fabricate a FRP formwork by dynamic layer winding of the FRP fabric with epoxy resin paired with an industrial scale robotic arm. A range of prototypes were fabricated to explore and study the fabrication parameters. Based on the systemic exploration, the limitations, the scope, and the feasibility of the proposed additive manufacturing method is studied for large scale customisable structural formworks.
series	cdrf
email
last changed	2022/09/29 07:53

_id	sigradi2021_280
id	sigradi2021_280
authors	Banda, Pablo, García-Alvarado, Rodrigo and Munoz-Sanguinetti, Claudia
year	2021
title	Architectural Digital Design for 3D Printing Housing: Search for 3D Printing in Construction Trends for a Design Methodology
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. 1409–1421
summary	This paper proposes the development of a methodology for the digital generation of valid 3D-printed houses designs and fabrication programming, in the search for an emerging architectural language of this technology. The aim is to develop a transparent, generic and variable modeling and management process, based on some parametric patterns for 3D printing, architectural and construction design knowledge. That serves as an outline or insight of what can be designing architectural 3d-printed forms in the Construction 4.0 era. Preliminary results, discussion and further work are presented.
keywords	3D Printed Buildings, Generative Design, Parametric Design, Digital Fabrication, Housing
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_005
id	caadria2021_005
authors	Bedarf, Patrick, Martinez Schulte, Dinorah, Åženol, AyÃ§a, Jeoffroy, Etienne and Dillenburger, Benjamin
year	2021
title	Robotic 3D Printing of Mineral Foam for a Lightweight Composite Facade Shading Panel
doi	https://doi.org/10.52842/conf.caadria.2021.1.603
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 603-612
summary	This paper presents the design and fabrication of a lightweight composite facade shading panel using 3D printing (3DP) of mineral foams. Albeit their important role in industrial construction practice as insulators and lightweight materials, only little research has been conducted to use foams in 3DP. However, the recent development of highly porous mineral foams that are very suitable for extrusion printing opens a new chapter for development of geometrically complex lightweight building components with efficient formwork-free additive manufacturing processes. The work documented in this paper was based on preliminary material and fabrication development of a larger research endeavor and systematically explored designs for small interlocking foam modules. Furthermore, the robotic 3D Printing setup and subsequent processing parameters were tested in detail. Through extensive prototyping, the design space of a final demonstrator shading panel was mapped and refined. The design and fabrication process is documented and shows the potential of the novel material system in combination with fiber-reinforced ultra-high performance concrete (UHPC). The resulting composite shading panel highlights the benefits of using mineral foam 3DP to fabricate freeform stay-in-place formwork for lightweight facade applications. Furthermore, this paper discusses the challenges and limitations encountered during the project and gives a conclusive outlook for future research.
keywords	robotic 3d-printing; mineral foam; lightweight construction; concrete formwork; facade shading panel
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2021_37
id	sigradi2021_37
authors	Bevilacqua, Flavio
year	2021
title	Augmented Reality and cardboard models: new possibilities for the design of interior spaces and furniture based on the link between analog and digital
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. 501–510
summary	The purpose of this experience consisted of linking two methodologies usually used exclusively in the study of the design operation in the university academic environment: working with cardboard models and augmented reality. The methodology used consisted of work in groups based on skills to build cardboard models, to model in 3D, and to work with augmented reality. They developed interior space designs through the interaction of physical models (made of cardboard) and observed models on those physical models through systems equipped with applications to view augmented reality. Among the main results of this experience are the possibility of interacting with dynamic objects modeled in 3D in the physical field of the cardboard model, and the successful integration of two work methodologies (analog and digital), at least in one of the stages of the design operation.
keywords	REALIDAD AUMENTADA. OPERACIÓN DE DISEnO. DISEnO DE INTERIORES. MAQUETAS.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	acadia21_318
id	acadia21_318
authors	Borhani, Alireza; Kalantar, Negar
year	2021
title	Nesting Fabrication
doi	https://doi.org/10.52842/conf.acadia.2021.318
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 B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 318-327.
summary	Positioned at the intersection of the computational modes of design and production, this research explains the principles and applications of a novel fabrication-informed geometric system called nesting. Applying the nesting fabrication method, the authors reimage the construction of complex forms by proposing geometric arrangements that lessen material waste and reduce production time, transportation cost, and storage space requirements. Through this method, appearance and performance characteristics are contingent on fabrication constraints and material behavior. In this study, the focus is on developing design rules for this method and investigating the main parameters involved in dividing the global geometry of a complex volume into stackable components when the first component in the stack gives shape to the second. The authors introduce three different strategies for nesting fabrication: 2D, 2.5D, and 3D nesting. Which of these strategies can be used depends on the geometrical needs of the design and available tools and materials. Next, by revisiting different fabrication approaches, the authors introduce readers to the possibility of large-scale objects with considerable overhangs without the need for nearly any temporary support structures. After establishing a workflow starting with the identification of geometric rules of nesting and ending with fabrication limits, this work showcases the proposed workflow through a series of case studies, demonstrating the feasibility of the suggested method and its capacity to integrate production constraints into the design process. Traversing from pragmatic to geometrical concerns, the approach discussed here offers an integrated approach supporting functional, structural, and environmental matters important when turning material, technical, assembly, and transportation systems into geometric parameters.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_329
id	caadria2021_329
authors	Breseghello, Luca, Sanin, Sandro and Naboni, Roberto
year	2021
title	Toolpath Simulation,Design and Manipulation in Robotic 3D Concrete Printing
doi	https://doi.org/10.52842/conf.caadria.2021.1.623
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 623-632
summary	Digital fabrication is blurring the boundaries between design, manufacturing and material effects. More and more experimental design processes involve an intertwined investigation of these aspects, especially when it comes to additive techniques such as 3D Concrete Printing (3DCP). Conventional digital tools present limitations in the description of an object, which neglects material, textural, and machinic information. In this paper, we exploit the control of extrusion-based 3D printing via programmed layered toolpath as a design method for enhancing the control of the manufactured architectural elements. The paper presents an experimental framework for design, analysis and fabrication with 3DCP, developing a system for materializing interdependencies between geometry, material, performance. This is applied to a series of architectural artefacts which demonstrate the advantages and possibilities opened by the introduced workflow, expanding the design process towards higher control on the objects buildability, structural integrity and aesthetic. manufacturing and material effects. More and more experimental design processes involve an intertwined investigation of these aspects, especially when it comes to additive techniques such as 3D Concrete Printing (3DCP). Conventional digital tools present limitations in the description of an object, which neglects material, textural, and machinic information. In this paper, we exploit the control of extrusion-based 3D printing via programmed layered toolpath as a design method for enhancing the control of the manufactured architectural elements. The paper presents an experimental framework for design, analysis and fabrication with 3DCP, developing a system for materializing interdependencies between geometry, material, performance. This is applied to a series of architectural artefacts which demonstrate the advantages and possibilities opened by the introduced workflow, expanding the design process towards higher control on the objects buildability, structural integrity and aesthetic."
keywords	3D Concrete Printing; Robotic Fabrication; Additive Manufacturing; Toolpath Simulation; Toolpath Manipulation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia21_400
id	acadia21_400
authors	Bruce, Mackenzie; Clune, Gabrielle; Xie, Ruxin; Mozaffari, Salma; Adel, Arash
year	2021
title	Cocoon: 3D Printed Clay Formwork for Concrete Casting
doi	https://doi.org/10.52842/conf.acadia.2021.400
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 B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 400-409.
summary	Concrete, a material widely used in the construction industry today for its low cost and considerable strength as a composite building material, allows designers to work with nearly any form imaginable; if the technology to build the formwork is possible. By combining two historic and widely used materials, clay and concrete, our proposed novel process, Cocoon, integrates robotic clay three-dimensional (3D) printing as the primary formwork and incrementally casting concrete into this formwork to fabricate nonstandard concrete elements. The incremental casting and printing process anchors the concrete and clay together, creating a symbiotic and harmonious relationship. The concrete’s fluidity takes shape from the 3D printed clay formwork, allowing the clay to gain structure from the concrete as it cures. As the clay loses moisture, the formwork begins to shrink, crack, and reveal the concrete below. This self-demolding process produces easily removable formwork that can then be recycled by adding water to rehydrate the clay creating a nearly zero-waste formwork. This technique outlines multiple novel design features for complex concrete structures, including extended height limit, integrated void space design, tolerable overhang, and practical solutions for clay deformation caused by the physical stress during the casting process. The novelty of the process created by 3D printing clay formwork using an industrial robotic arm allows for rapid and scalable production of nearly zero-waste customizable formwork. More significant research implications can impact the construction industry, integrating more sustainable ways to build, enabled by digital fabrication technologies.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_333
id	ecaade2021_333
authors	Burger, Joris, Wangler, Timothy, Chiu, Yu-Hung, Techathuvanun, Chanon, Gramazio, Fabio, Kohler, Matthias and Lloret-Fritschi, Ena
year	2021
title	Material-informed Formwork Geometry - The effects of cross-sectional variation and patterns on the strength of 3D printed eggshell formworks
doi	https://doi.org/10.52842/conf.ecaade.2021.2.199
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 199-208
summary	Fused deposition modelling (FDM) 3D printing of formworks for concrete has the potential to increase geometric freedom in concrete construction. However, one major limitation of FDM printed formworks is that they are fragile and often cannot support the hydrostatic pressure exerted by the concrete. The research project 'Eggshell' combines robotic 3D printing of formwork with the casting of a fast-hardening concrete to reduce hydrostatic pressure to a minimum. Eggshell can be used to fabricate architectural-scale building components; however, knowledge of the influence formwork geometry has on the hydrostatic pressure resistance is still sparse, resulting in unexpected breakages of the formwork. This paper presents an empirical study into the breakage behaviour of FDM printed formworks when subjected to hydrostatic pressure. Firstly, the study aims to give a first insight into the breakage behaviour of formworks with a constant cross-section by casting a self-compacting concrete into the formwork until breakage. Then, we investigate if three-dimensional patterning of the formwork can have a beneficial effect on the breakage behaviour. Finally, the preliminary results are validated through the fabrication of two full-scale columns. The empirical results point towards the fact that sharp corners in formworks are weaker compared to rounded corners. Although the presented results are still preliminary, they mark an important step in the development of reliable design and fabrication strategies using 3D printed formworks.
keywords	3D Printing; Formwork; Fused Deposition Modelling; Digital Concrete; Hydrostatic pressure; Eggshell
series	eCAADe
email
last changed	2022/06/07 07:54

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