Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models
Author:
Affiliation:
1. Massachusetts Institute of Technology Cambridge Massachusetts USA
2. Akselos Inc. Brookline Massachusetts USA
3. Akselos S.A. Lausanne Switzerland
4. University of Texas at Austin Austin Texas USA
Funder
Air Force Office of Scientific Research
Boeing
Publisher
Wiley
Subject
Applied Mathematics,General Engineering,Numerical Analysis
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6423
Reference44 articles.
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3. KraftJ KuntzagkS. Engine fleet‐management: the use of digital twins from a MRO perspective. Paper presented at: Proceedings of the ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition;2017; American Society of Mechanical Engineers.
4. ReifsniderK MajumdarP. Multiphysics stimulated simulation digital twin methods for fleet management. Paper presented at: Proceedings of the 54th AIAA/ASME/ASCE/AHS/ASC Structures Structural Dynamics and Materials Conference;2013:1578.
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