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 ecaade2016_147
id ecaade2016_147
authors Tamke, Martin, Zwierzycki, Mateusz, Evers, Henrik Leander, Ochmann, Sebastian, Vock, Richard and Wessel, Raoul
year 2016
title Tracking Changes in Buildings over Time - Fully Automated Reconstruction and Difference Detection of 3d Scan and BIM files
doi https://doi.org/10.52842/conf.ecaade.2016.2.643
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 643-651
summary Architectural and Engineering Communities are interested in the detection of differences between different representations of the same building. These can be the differences between the design and the as-built-state of a building, or the detection of changes that occur over time and that are documented by consecutive 3D scans. Current approaches for the detection of differences between 3D scans and 3D building models are however laborious and work only on the level of a building element. We demonstrate a novel highly automated workflow to detect differences between representations of the same building. We discuss the underlying tools and methods and the ways to communicate deviations and differences in an appropriate manner and evaluate our approach with a rich set of real world datasets.
wos WOS:000402064400065
keywords 3d scan; BIM; Machine learning; Point Clouds; Big Data
series eCAADe
email
last changed 2022/06/07 07:56

_id ecaade2016_171
id ecaade2016_171
authors Zwierzycki, Mateusz, Evers, Henrik Leander and Tamke, Martin
year 2016
title Parametric Architectural Design with Point-clouds - Volvox
doi https://doi.org/10.52842/conf.ecaade.2016.2.673
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 673-682
summary This paper investigates the efforts and benefits of the implementation of point clouds into architectural design processes and tools. Based on a study on the principal work processes of designers with point clouds the prototypical plugin/library - Volvox - was developed for the parametric modelling environment Grasshopper in Rhino. The prototype allows us to discuss the necessary technical layer for the task, benchmark the tool, and finally to evaluate the benefits, that this approach has for architectural practice, through a series of use cases.
wos WOS:000402064400068
keywords point-clouds; Architectural Design Tools; 3d Scan; multithreading; .net
series eCAADe
email
last changed 2022/06/07 07:57

_id acadia16_362
id acadia16_362
authors Beesley, Philip; Ilgun, Zeliha, Asya; Bouron, Giselle; Kadish, David; Prosser, Jordan; Gorbet, Rob; Kulic, Dana; Nicholas, Paul; Zwierzycki, Mateusz
year 2016
title Hybrid Sentient Canopy: An implementation and visualization of proprioreceptive curiosity-based machine learning
doi https://doi.org/10.52842/conf.acadia.2016.362
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. 362-371
summary This paper describes the development of a sentient canopy that interacts with human visitors by using its own internal motivation. Modular curiosity-based machine learning behaviour is supported by a highly distributed system of microprocessor hardware integrated within interlinked cellular arrays of sound, light, kinetic actuators and proprioreceptive sensors in a resilient physical scaffolding system. The curiosity-based system involves exploration by employing an expert system composed of archives of information from preceding behaviours, calculating potential behaviours together with locations and applications, executing behaviour and comparing result to prediction. Prototype architectural structures entitled Sentient Canopy and Sentient Chamber developed during 2015 and 2016 were developed to support this interactive behaviour, integrating new communications protocols and firmware, and a hybrid proprioreceptive system that configured new electronics with sound, light, and motion sensing capable of internal machine sensing and externally- oriented sensing for human interaction. Proprioreception was implemented by producing custom electronics serving photoresistors, pitch-sensing microphones, and accelerometers for motion and position, coupled to sound, light and motion-based actuators and additional infrared sensors designed for sensing of human gestures. This configuration provided the machine system with the ability to calculate and detect real-time behaviour and to compare this to models of behaviour predicted within scripted routines. Testbeds located at the Living Architecture Systems Group/Philip Beesley Architect Inc. (LASG/PBAI, Waterloo/Toronto), Centre for Information Technology (CITA, Copenhagen) National Academy of Sciences (NAS) in Washington DC are illustrated.
keywords intedisciplinary/collaborative design, intelligent environments, artificial intelligence, sensate systems
series ACADIA
type paper
email
last changed 2022/06/07 07:54

_id acadia16_308
id acadia16_308
authors Nicholas, Paul; Zwierzycki, Mateusz; Stasiuk, David; Norgaard, Esben; Thomsen, Mette Ramsgaard
year 2016
title Concepts and Methodologies for Multiscale Modeling: A Mesh-Based Approach for Bi-Directional Information Flows
doi https://doi.org/10.52842/conf.acadia.2016.308
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. 308-317
summary This paper introduces concepts and methodologies for multiscale modeling in architecture, and demonstrates their application to support bi-directional information flows in the design of a panelized, thin skinned metal structure. Parameters linked to the incremental sheet forming fabrication process, rigidisation, panelization, and global structural performance are included in this information flow. The term multiscale refers to the decomposition of a design problem into distinct but interdependent models according to scales or frameworks, and to the techniques that support the transfer of information between these models. We describe information flows between the scales of structure, panel element, and material via two mesh-based approaches. The first approach demonstrates the use of adaptive meshing to efficiently and sequentially increase resolution to support structural analysis, panelization, local geometric formation, connectivity, and the calculation of forming strains and material thinning. A second approach shows how dynamically coupling adaptive meshing with a tree structure supports efficient refinement and coarsening of information. The multiscale modeling approaches are substantiated through the production of structures and prototypes.
keywords adaptive meshing, robotic fabrication, simulation, material behavior, incremental sheet forming, multiscale
series ACADIA
type paper
email
last changed 2022/06/07 07:58

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