Difference between revisions of "Research into Digital Twins for AEC"

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Revision as of 21:29, 16 November 2022

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DC I/O 2022 Keynote by Dustin White. https://doi.org/10.47330/DCIO.2022.OTJU4338


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Abstract

Presentation

Left Video Recording.

Conference Presentation

Left Conference Presentation Slides.

Keywords

Digital Twins, Machine Learning, Digital Fabrication, Design Theory

Reference

DOI: https://doi.org/10.47330/DCIO.2022.OTJU4338

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).