Digital twins in mechanical and aerospace engineering-Reference-Cited by-同舟云学术

Digital twins in mechanical and aerospace engineering

Published:2024-03-26 Issue:3 Volume:4 Page:178-183
ISSN:2662-8457
Container-title:Nature Computational Science
language:en
Short-container-title:Nat Comput Sci

Author:

Ferrari Alberto,Willcox Karen^ORCID

Funder

U.S. Department of Energy

United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s43588-024-00613-8.pdf

Reference13 articles.

1. AIAA Digital Engineering Integration Committee Digital Twin: Definition and Value AIAA and AIA Position Paper (AIAA, 2020).

2. Foundational Research Gaps and Future Directions for Digital Twins Consensus Study Report (NASEM, 2023).

3. Tao, F., Zhang, H. & Zhang, C. Advancements and challenges of digital twins in industry. Nat. Comput. Sci. https://doi.org/10.1038/s43588-024-00603-w (2024).

4. Trimble, S. Digital twin helps Pratt expand F119 performance for F-22. Aviation Week and Space Technology (3 October 2022).

5. NRC Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification (National Academies Press, 2012).

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