Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin

This study proposes a frequency-based finite element updating method for an effective physics-based digital twin (DT). One approach to constructing a physics-based DT is to develop a mechanics-based mathematical model that accurately simulates the behavior of an actual structure. The proposed method...

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Main Authors: Youngjae Jeon, Geomji Choi, Kwanghyun Ahn, Kang-Heon Lee, Seongmin Chang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/5/738
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author Youngjae Jeon
Geomji Choi
Kwanghyun Ahn
Kang-Heon Lee
Seongmin Chang
author_facet Youngjae Jeon
Geomji Choi
Kwanghyun Ahn
Kang-Heon Lee
Seongmin Chang
author_sort Youngjae Jeon
collection DOAJ
description This study proposes a frequency-based finite element updating method for an effective physics-based digital twin (DT). One approach to constructing a physics-based DT is to develop a mechanics-based mathematical model that accurately simulates the behavior of an actual structure. The proposed method utilizes finite element updating, adjusting model parameters to improve model accuracy. Unlike simple modal analysis, which focuses on vibration characteristics, this method recognizes that accurate dynamic transient-based vibration analysis requires considering the damping effect, as well as mass and stiffness, during the updating process. Moreover, a frequency-based analysis is employed instead of the computationally expensive time-based analysis for more efficient dynamic modeling. By transforming data into the frequency domain, the method efficiently represents dynamic behavior within relevant frequency ranges. We further enhance the computational efficiency using the model reduction technique. To validate the method’s accuracy and efficiency, we compare the analysis results and computation time using a numerical example of the control rod drive mechanism. The proposed method shows significantly reduced computation time, by a factor of 8.9 compared to conventional time-based methods, while preserving high accuracy. Therefore, the proposed method can effectively support the development of physics-based DTs.
format Article
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institution OA Journals
issn 2227-7390
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publishDate 2025-02-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj-art-6f9348d31304477585444e421fee16522025-08-20T02:04:48ZengMDPI AGMathematics2227-73902025-02-0113573810.3390/math13050738Frequency-Based Finite Element Updating Method for Physics-Based Digital TwinYoungjae Jeon0Geomji Choi1Kwanghyun Ahn2Kang-Heon Lee3Seongmin Chang4Department of Automotive Engineering (Automotive-Computer Convergence), Hanyang University, Seoul 04763, Republic of KoreaSchool of Mechanical Engineering, Chungnam National University, Daejeon 34134, Republic of KoreaSMART System Development Division, Korea Atomic Energy Research Institute, Daejeon 34057, Republic of KoreaMSILABS Inc., Daejeon 34127, Republic of KoreaSchool of Mechanical Engineering, Chungnam National University, Daejeon 34134, Republic of KoreaThis study proposes a frequency-based finite element updating method for an effective physics-based digital twin (DT). One approach to constructing a physics-based DT is to develop a mechanics-based mathematical model that accurately simulates the behavior of an actual structure. The proposed method utilizes finite element updating, adjusting model parameters to improve model accuracy. Unlike simple modal analysis, which focuses on vibration characteristics, this method recognizes that accurate dynamic transient-based vibration analysis requires considering the damping effect, as well as mass and stiffness, during the updating process. Moreover, a frequency-based analysis is employed instead of the computationally expensive time-based analysis for more efficient dynamic modeling. By transforming data into the frequency domain, the method efficiently represents dynamic behavior within relevant frequency ranges. We further enhance the computational efficiency using the model reduction technique. To validate the method’s accuracy and efficiency, we compare the analysis results and computation time using a numerical example of the control rod drive mechanism. The proposed method shows significantly reduced computation time, by a factor of 8.9 compared to conventional time-based methods, while preserving high accuracy. Therefore, the proposed method can effectively support the development of physics-based DTs.https://www.mdpi.com/2227-7390/13/5/738digital twinfrequency-based analysisfinite element updating methodvibration analysiscontrol rod drive mechanism
spellingShingle Youngjae Jeon
Geomji Choi
Kwanghyun Ahn
Kang-Heon Lee
Seongmin Chang
Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin
Mathematics
digital twin
frequency-based analysis
finite element updating method
vibration analysis
control rod drive mechanism
title Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin
title_full Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin
title_fullStr Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin
title_full_unstemmed Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin
title_short Frequency-Based Finite Element Updating Method for Physics-Based Digital Twin
title_sort frequency based finite element updating method for physics based digital twin
topic digital twin
frequency-based analysis
finite element updating method
vibration analysis
control rod drive mechanism
url https://www.mdpi.com/2227-7390/13/5/738
work_keys_str_mv AT youngjaejeon frequencybasedfiniteelementupdatingmethodforphysicsbaseddigitaltwin
AT geomjichoi frequencybasedfiniteelementupdatingmethodforphysicsbaseddigitaltwin
AT kwanghyunahn frequencybasedfiniteelementupdatingmethodforphysicsbaseddigitaltwin
AT kangheonlee frequencybasedfiniteelementupdatingmethodforphysicsbaseddigitaltwin
AT seongminchang frequencybasedfiniteelementupdatingmethodforphysicsbaseddigitaltwin