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_305
id caadria2021_305
authors Keshavarzi, Mohammad, Afolabi, Oladapo, Caldas, Luisa, Yang, Allen Y. and Zakhor, Avideh
year 2021
title GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
doi https://doi.org/10.52842/conf.caadria.2021.1.091
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. 91-100
summary The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion. The system takes an existing captured 3D scan as an input and outputs alternative variations of the building layout including walls, doors, and furniture with corresponding textures. GenScan is fully automated system that can also be manually controlled by a user through an assigned user interface. Our proposed system utilizes a combination of a hybrid deep neural network and a parametrizer module to extract and transform elements of a given 3D scan. GenScan takes advantage of style transfer techniques to generate new textures for the generated scenes. We believe our system would facilitate data augmentation to expand the currently limited 3D geometry datasets commonly used in 3D computer vision, generative design and general 3D deep learning tasks.
keywords Computational Geometry; Generative Modeling; 3D Manipulation; Texture Synthesis
series CAADRIA
email
last changed 2022/06/07 07:52

_id acadia21_182
id acadia21_182
authors Yang, Qi; Cruz-Garza, Jesus G.; Kalantari, Saleh
year 2021
title MindSculpt
doi https://doi.org/10.52842/conf.acadia.2021.182
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. 182-193.
summary MindSculpt enables users to generate a wide range of hybrid geometries in Grasshopper in real-time simply by thinking about those geometries. This design tool combines a non-invasive brain–computer interface (BCI) with the parametric design platform Grasshopper, creating an intuitive design workflow that shortens the latency between ideation and implementation compared to traditional computer-aided design tools based on mouse-and-keyboard paradigms. The project arises from transdisciplinary research between neuroscience and architecture, with the goal of building a cyber-human collaborative tool that is capable of leveraging the complex and fluid nature of thinking in the design process. MindSculpt applies a supervised machine-learning approach, based on the support vector machine model (SVM), to identify patterns of brain-waves that occur in EEG data when participants mentally rotate four different solid geometries. The researchers tested MindSculpt with participants who had no prior experience in design, and found that the tool was enjoyable to use and could contribute to design ideation and artistic endeavors.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id sigradi2021_4
id sigradi2021_4
authors Song, Yang, Koeck, Richard and Luo, Shan
year 2021
title [AR]OBOT: the AR-Assisted Robotic Fabrication System for Parametric Architectural Structures
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. 1115–1126
summary [AR]OBOT tries to assist the robotic fabrication process for parametric architectural structures with Augmented Reality (AR) technology to explore new possibilities for easy architectural robotic operations. Due to the lack of computer programming skills and the disconnection between design and fabrication, architects are hampered in the robotic operation process. As part of our project, we create a visualization prototype in which robotic and on-site related information is being shown through AR devices overlapping on the physical world; followed by a robotic trajectory planning method in which designers’ gestures are being identified by AR as location nodes and calculated with the obstacle avoidance system; and an operation process in which robots are being controlled by human gestures and interactions with holographic simulation to enhance the robotic fabrication process efficiency and safety. In this paper, we share the preliminary results to demonstrate a new kind of AR-assisted workflow for the architects to perform the robotic fabrication of parametric architectural structures intuitively.
keywords Augmented Reality, Robotic Fabrication, Human-robot Collaboration
series SIGraDi
email
last changed 2022/05/23 12:11

_id ecaade2021_027
id ecaade2021_027
authors Yuan, Chao, Zhang, Xiao, Zeng, Shaoting, Yang, Liu, Zhao, Zhilong and Qiu, Song
year 2021
title Topology Reconstruction of a Discontinuous B-rep Geometry by using Form Finding Method
doi https://doi.org/10.52842/conf.ecaade.2021.2.371
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. 371-380
summary In the field of industrial manufacturing and building design procedure, B-Rep (Boundary Representation) model is often used to design and fabricate building components or molds, but in the finite element analysis(FEA) procedure, engineers often need to use the F-Rep (Functional Representation) model files. So, converting two file formats back and forth from one to another is a very important topic in architectural design and manufacturing process. However, there are still some limitations to carry out the conversation process efficiently on discontinuous B-rep geometries with existing software and plug-ins. In this paper, authors introduce an efficient retopology method with kangaroo physics plug-in based on Rhino platform to convert a B-Rep file into a F-Rep file (a continuous uniform mesh infinitely approached to the original geometry with a controllable face numbers) within limited steps. Thus, designers and engineers can do creative parametric design or finite element analysis continuously without surface boundary limitation. Furthermore, the mesh converted by the method introduced in the paper has a better regularity on each single face and better homogeneity of all faces than the built-in "QuadRemesh" function in Rhino-7.
keywords Form-finding; Retopology; Mesh Mapping; Finite Element Analysis; Shape Quality
series eCAADe
email
last changed 2022/06/07 07:57

_id ecaade2021_047
id ecaade2021_047
authors Zhang, Xiao, Yuan, Chao, Yang, Liu, Yu, Peiran, Ma, Yiwen, Qiu, Song, Guo, Zhe and Yuan, Philip F.
year 2021
title Design and Fabrication of Formwork for Shell Structures Based on 3D-printing Technology
doi https://doi.org/10.52842/conf.ecaade.2021.1.487
source Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 487-496
summary Shell structure is a kind of structure using a small amount of materials to obtain a large-span multi-functional space. However, lots of formwork and scaffold materials are often wasted in the construction process. This paper focuses on the shell structure construction using robotic 3D printing PLA (an environmental friendly material) technology as the background. The author explores the possibility of 3D printing technology in shell construction from small scale models in different construction method, and gradually optimizes the shell template shape suitable for PLA material in full-scale construction. Finally, the research team chose the bending-active 3D printing type and completed the construction of three full-scale concrete shell molds. Under the guidance of professor Philippe Block, the research team finished the final 3D printing mold with optimized slicing and bending logic and successfully used it as the template mold to carry the tiles which proved the feasibility of this construction method.
keywords Shell structure ; Formwork ; Geometric analysis; Form-finding; 3d printing
series eCAADe
email
last changed 2022/06/07 07:57

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