Application of Finite Element Model Updating Techniques

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 December 2021) | Viewed by 2611

Special Issue Editors


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Guest Editor
Department of Civil Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Interests: structural dynamics; experimental structural dynamics; operation modal analysis; finite element model updating; structural health monitoring; damage detection
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Interests: structural dynamics; nonlinear performance of structures; earthquake engineering; earthquake-resistant design and assessment of structures; structural health monitoring; finite element model; damage detection; fragility analysis and risk assessment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Interests: structural dynamics; experimental structural dynamics; finite element model updating; structural health monitoring

Special Issue Information

Dear Colleagues,

In modern engineering, the FE method plays a crucial role in predicting and simulating the behavior of structural systems. For this reason, the method has been increasingly improved over the years to provide accurate predictions for the performance of such structures.

These advancements have enabled engineers to carry out a more precise structural analysis of linear and non-linear structural systems. When it comes to the prediction of the structural behavior of existing structures, the FE method has commonly been used in combination with testing results to refine the modeling assumptions of the modeled structure, so that FE model properties match those obtained experimentally.

In this regard, the FE model updating techniques play an important role, as they enable engineers not only to rely on their own engineering knowledge and assumptions, but also on the actual structural behavior.

This Special Issue is focused on recent advances toward FE model updating techniques. We welcome articles that focus on new updating strategies that allow for more accurate digital representations in terms of FE models of existing structures, e.g., a digital twin.

A finite element model that can act as a digital twin should have the possibility to model the requested information, be that displacement, acceleration, or strain with nearly the same quality as when doing a test.

This Special Issue is focused on recent advances toward FE model updating techniques. We welcome articles that focus on new updating strategies that allow for more accurate digital representations in terms of FE models of existing structures, e.g., a digital twin.

A finite element model that can act as a digital twin should have the possibility to model the requested information, be that displacement, acceleration, or strain with nearly the same quality as when doing a test.

The aim of this Special Issue is to describe updating techniques that can assure the abovementioned high quality in the requested information.

Main focus areas:

  • Review and case studies of classical FE model updating;
  • New FE model updating techniques for higher accuracy toward reality;
  • Applications of updated models for response prediction, e.g., digital twin technology;
  • Application of FE model updating in structural health monitoring;
  • Application of automated FE model updating techniques;
  • Important case studies.

Dr. Sandro D. R. Amador
Dr. Evangelos I. Katsanos
Dr. Rune Brincker
Guest Editors

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Keywords

  • finite element method
  • FE model updating
  • FE updating techniques
  • automated updating
  • digital twin

Published Papers (1 paper)

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Research

20 pages, 4104 KiB  
Article
Approximation Method for Stress–Strain Using Metamodel Parameter Updating
by Dong-Seok Shin, Euy-Sik Jeon and Young-Shin Kim
Appl. Sci. 2022, 12(6), 2868; https://0-doi-org.brum.beds.ac.uk/10.3390/app12062868 - 10 Mar 2022
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Abstract
The properties of the material applied to the finite element (FE) simulation can be expressed by constitutive models, and simple constitutive and complex constitutive models can be used to show the actual phenomenon. The technology to improve the accuracy of the constitutive model [...] Read more.
The properties of the material applied to the finite element (FE) simulation can be expressed by constitutive models, and simple constitutive and complex constitutive models can be used to show the actual phenomenon. The technology to improve the accuracy of the constitutive model applied to FE simulation is the inverse method. The inverse method is a method to curve fit the FE simulation result to the test data by utilizing finite element model updating (FEMU). Inverse methods are general approaches to update material properties. The inverse method can iteratively run many FE simulations for constitutive model optimization and consider metamodel-based simulation optimization (MBSO) to reduce this resource waste. With MBSO, one can obtain significant results with fewer resources. However, the MBSO algorithm has the problem in that the optimization performance deteriorates as the number of parameters increases. The typical process of the inverse method is to adjust these factor values individually. If there are many factors in the constitutive model, the optimization result may deteriorate owing to the performance limit of the MBSO when the structural method is used. This paper proposes a method of fitting a stress–strain constitutive model with a scaling factor to improve the efficiency of the inversion method using MBSO. For this purpose, a process was performed to determine the curve characteristics during the pretreatment stage. The results show that the proposed method significantly improved the prediction efficiency of the combination function. Thus, we conclude that initializing the combination function and setting the parameters of the inverse method by applying the proposed approach improves the efficiency of large deformation analyses. Full article
(This article belongs to the Special Issue Application of Finite Element Model Updating Techniques)
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