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 ecaade2012_059
id ecaade2012_059
authors Wurzer, Gabriel ; Popov, Nikolay ; Lorenz, Wolfgang E.
year 2012
title Meeting Simulation Needs of Early-Stage Design Through Agent-Based Simulation
source Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 613-620.
doi https://doi.org/10.52842/conf.ecaade.2012.1.613
wos WOS:000330322400064
summary During early-stage planning, numerous design decisions are taken in an argumentative manner, based on occupation with the building site according to the different infl uencing aspects (e.g. topology, wind, visibility, circulation, activities etc.). In this context, sketches, diagrams and spreadsheets are the workhorses for elaboration. However, some of these phenomena are dynamic by nature, and are rather poorly modeled when utilizing static media. In our work, we thus show how agent-based simulation can be used to compute and visualize dynamic factors, in order to inform the decision process on a qualitative level. As a matter of fact, simulations may be used as a design tool in their own right, for analysis and objectifi ed comparison among multiple design variations.
keywords Agent-Based Simulation; Early-Stage Planning; NetLogo; Design Process.
series eCAADe
email
last changed 2022/06/07 07:57

_id ecaade2015_161
id ecaade2015_161
authors Papasarantou, Chrissa; Kalaouzis, Giorgos, Pentazou, Ioulia and Bourdakis, Vassilis
year 2015
title A Spatio-Temporal 3D Representation of a Historic Dataset
source Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 701-708
doi https://doi.org/10.52842/conf.ecaade.2015.1.701
wos WOS:000372317300076
summary Previous research (Bourdakis et al, 2012; Papasarantou et al, 2013) dealt with the problem of creating information visualisation systems capable of combining historical data of MUCIV's database and developing strategies that embed the non-spatial data in spatial models. The database was primarily designed as an experimental flexible spatio-temporal configuration of dynamic visual structures generating a variety of narrations through interaction.The attempt of producing a legible configuration driven by a number of criteria, led to the proposition of two different arrangements, namely the linear and radial array. The aim of this paper is to present the next step on the visualization after redefining both the way that thematic axes and data are visualized and arranged/scattered. Alternate configurations are investigated, based also on theoretical analysis on the conceptualization and perception of information visualization systems (Card et al 1999, Ware, 2004).
series eCAADe
email
more https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=74178dba-702a-11e5-aa5b-67bfe1e6502f
last changed 2022/06/07 08:00

_id ecaade2023_318
id ecaade2023_318
authors Imam, Chowdhury Ali, Othman, Hanin Abdel Salam and Çapunaman, Özgüç Bertug
year 2023
title Robotic Plaster Carving: Formalizing subtractive detailing of plaster surfaces for construction and crafts
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 1, Graz, 20-22 September 2023, pp. 397–406
doi https://doi.org/10.52842/conf.ecaade.2023.1.397
summary Plaster has been a fundamental material in numerous interior and exterior applications in architectural construction due to its fire-resistant properties and capabilities for intricate detailing. Moreover, prior to the widespread adoption of computer-aided design tools, plaster played a crucial role in historic preservation and architectural education (Mankouche & Schulte, 2012). While the use of decorative plaster elements in architectural construction has waned in popularity, the renewed interest in plaster within the context of advanced robotic fabrication offers a compelling basis for research. This paper presents an investigation into robotic plaster carving for adding detail and texture to plaster surfaces. Within the scope of this study, we identify and systematically examine various fabrication and material parameters for emergent geometries and fabrication defects, subsequently formalizing this robotic workflow for diverse applications in construction and crafts. Among these parameters, we primarily concentrate on toolpath geometry, tool orientation, carving speed, carving profile, and aggregation of carving strokes. Through this bottom-up approach, our objective is to enhance the understanding of tool-material interaction during the fabrication process and achieve improved control over the resulting artifact. Building on these insights, we demonstrate how the proposed robotic plaster carving workflow can be employed for subtractive surface detailing in architectural construction and digital crafts.
keywords Robotic Fabrication, Plaster Carving, Surface Detailing, Digital Craft
series eCAADe
email
last changed 2023/12/10 10:49

_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
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
doi https://doi.org/10.52842/conf.ecaade.2023.2.327
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 ecaade2012_144
id ecaade2012_144
authors Wurzer, Gabriel ; Pak, Burak
year 2012
title Lawnmower: Designing a web-based visual programming environment that generates code to help students learn textual programming
source Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 655-663.
doi https://doi.org/10.52842/conf.ecaade.2012.1.655
wos WOS:000330322400069
summary Learning programming can be a challenging task for design students, especially when code is to be entered in textual form. Visual programming languages, such as McNeil’s Grasshopper, have helped students to engage in scripting without having to deal with lower level syntax that is often hindering them in expressing their thoughts. However, the problem with learning how to program textually is only postponed: When switching to a new platform, students may be forced to learn coding from scratch, and, even worse, to do so in a textual environment that is yet unfamiliar. Our idea is simple: Connect visual programming with textual coding, using code-generation as means. Using this approach enables students to think visually, and see the results textually. An added bonus is the possibility to use debugging, a feature that is yet lacking from Grasshopper. By this way, our language aims to enable students to gradually move from visual to textual programming in a comfortable manner.
keywords Visual Programming; Structured Code; Teaching; Code Generation
series eCAADe
email
last changed 2022/06/07 07:57

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