Difference between revisions of "Research into Digital Twins for AEC"
From Design Computation
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[[Category:Book]] | [[Category:Book]] | ||
| − | [[DC I/O 2022]] | + | [[DC I/O 2022]] Slides by [[Kean Walmsley]]. https://doi.org/10.47330/DCIO.2022.OTJU4338 | Watch [[File:VideoRecord-Icon.png |Left|22px|link=https://youtu.be/mIYyW5uh-Ww]] | [[File:Slides-Icon.png |Left|30px|link=https://www.dropbox.com/s/7rnl4ode4s4cn1t/DCIO2022_S4-3_OTJU4338.pdf?dl=0]] |
Revision as of 09:36, 12 April 2023
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Abstract
Keywords
AEC, Digital Transformation, Digital Twins, Machine Learning, Digital Fabrication, 3D Printing
Bibliography
- Autodesk, 2022a. Autodesk Research's Project Dasher [WWW Document]. Autodesk Forge. URL https://www.autodesk.com/research/projects/project-dasher (accessed 9.30.22).
- Attar, R., Hailemariam, E., Breslav, S., Khan, A. and Kurtenbach, G. 2011. Sensor-enabled Cubicles for Occupant-centric Capture of Building Performance Data. ASHRAE Annual Conference.
- Attar, R. Hailemariam, E., GLUECK, M., Tessier, A., McCrae, J. and Khan, A. 2010. BIM-based Building Performance Monitor. In Proceedings of the 2010 Spring Simulation Multiconference (SpringSim '10)
- Autodesk, 2022b. Autodesk Forge [WWW Document]. Autodesk Forge. URL https://forge.autodesk.com/ (accessed 9.30.22).
- Autodesk, 2022c. Dasher 360 [WWW Document]. URL https://dasher360.com/ (accessed 9.30.22).
- Autodesk, 2022d. Autodesk Tandem | Your Digital Twin Journey Starts Here [WWW Document]. Autodesk Tandem. URL https://intandem.autodesk.com/ (accessed 9.30.22).
