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.
1. GlaessgenE StargelD. The digital twin paradigm for future NASA and US air force vehicles. Paper presented at: Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA;2012:1818.
2. Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
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.
Cited by 126 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Digital-Twin virtual model real-time construction via spatio-temporal cascade reconstruction for full-field plastic deformation monitoring in metal tube bending manufacturing;Robotics and Computer-Integrated Manufacturing;2025-02
2. A hybrid physics-informed machine learning approach for time-dependent reliability assessment of electromagnetic relays;Reliability Engineering & System Safety;2024-12
3. Iterative updating of digital twin for equipment: Progress, challenges, and trends;Advanced Engineering Informatics;2024-10
4. PSDM: A parametrized structural dynamic modeling method based on digital twin for performance prediction;Engineering Structures;2024-10
5. Physical constraint flow field reconstruction method for immersion scan-step flow;Flow Measurement and Instrumentation;2024-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3