Cited by 371Structural Health Monitoring TechniquesControl Systems and IdentificationStatistical and numerical algorithms

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Review of finite element model updating methods for structural applications

Open access
Ereiz, Suzana, Duvnjak, Ivan, Fernando Jiménez-Alonso, Javier·2022·Structures

Abstract

At the time of designing structures up to date, the density and magnitude of the load have increased, and the requirements for regulation have also become more stringent. To ensure the essential requirements, especially the mechanical resistance and stability, the numerical modelling of the structure is carried out according to the current regulations. Due to various assumptions, idealization, discretization, and parameterizations that are introduced numerical modelling, obtained numerical model may not always reflect the actual structural behavior. It is known that these structures have a hidden resistance that can be determined by combining experimental investigations (static or/and dynamic tests) and finite element model updating methods to minimize the differences between the actual and predicted structural behavior. This paper provides a review of the FEMU process and methods used and summarizes the FEMU approach to help future engineers to select the appropriate method for solving some discussed issues. First, the main terms important for understanding FEMU are introduced. The whole process of model updating is described step by step: selection of updating parameters (design variables), definition of the model updating problem, its solution using different FEMU methods. An overview of the following methods is given: sensitivity-based, maximum likelihood, non-probabilistic, probabilistic, response surface and regularization methods. Each of the method is presented with the corresponding mathematical background, implementation steps, and examples of studies from the literature.

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Research works printed but not linked: 16

  1. Altunişik, 2018, Automated Model Updating of Historical Masonry Structures Based on Ambient Vibration Measurements, J Perform Constr Facil, 32, 04017126, 10.1061/(ASCE)CF.1943-5509.0001108 · DOI
  2. Sen S.,Bhattacharya B. Eigen structure assignment based finite element model updating, in: Int. Conf. Comput. Aided Eng., Chennai, 2013.
  3. Wang, 2016, 3rd Int, Conf Inf Sci Control Eng ICISCE, 2016, 640
  4. Eltouny K.,Liang X. A nonparametric unsupervised learning approach for structural damage detection. ArXiv 2020.
  5. R. Moore R.B. Kearfott M.J. Cloud Interval, Analysis. Society for industrial and Applied Mathematics 2009 Philadelphia 10.1007/1-84628-108-3_18. · DOI
  6. Mohan, 2010, Discussion on Mathematical Modeling of Fuzzy Two-Term (PI / PD), Controllers, 8, 38
  7. Kaveh, 2016, Damage identification of truss structures using CBO and ECBO algorithms, Asian J Civ Eng, 17, 75
  8. Zong Woo Geem, 2001, A new heuristic optimization algorithm: Harmony search. A New Heuristic Optim. Algorithm Harmon, Search, 76, 60
  9. Wu, 2018, Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method, Adv Civ Eng, 2018, 1
  10. Conn, 2019, Introduction to Derivative-Free Optimization. MPS-SIAM Series on, Optimization
  11. A. Jung Machine Learning: Fundations, Methodologies and Applications 1st editio, 2018 Springer Singapore 10.1007/978-981-16-8193-6. · DOI
  12. Zhu Y.,Zhang L. Finite element model updating based on least squares support vector machines. 2009. https://doi.org/10.1007/978-3-642-01510-6_34. · DOI
  13. Ivanova, 2016, We are IntechOpen, the world ’ s leading publisher of Open Access books Built by scientists, for scientists TOP 1 %, Intech, i, 13
  14. Ben, 2018, Model selection and adaptive sampling in surrogate modeling, Kriging and beyond
  15. Grabec, 1990, Biological Cybemetics, Neural Networks, 409, 403
  16. Кapycкeвич M.,Кopчyк O.,Лicoвcькa M. Structural Health monitoring, in: A. Wicks (Ed.), A Conf. Expo. Struct. Dyn., Springer, 2013: pp. 117–122.

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Metadata

Authors
Ereiz, S., Duvnjak, I., & Fernando Jiménez-Alonso, J.
Affiliations
University of Zagreb (HR)
Corresponding author
Ereiz, Suzana
Venue
Structures
Publisher
Elsevier BV
Published
2022-07
Volume
41
Pages
684-723
ISSN
2352-0124 (ISSN-L)
OpenAlex
W4280574223
Cited by
371
References
292
Citations by year
2026: 94 · 2025: 138 · 2024: 90 · 2023: 44 · 2022: 5
FWCI
31.13
Type
journal article
Language
en
Open access
Locations
  • Structures (publishedVersion, cc-by)
  • idUS (Universidad de Sevilla) (submittedVersion, cc-by)
Funders
  • University of Zagreb
  • European Commission
  • European Regional Development Fund (KK.01.1.1.04.0041)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
  • Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
Keywords
finite element model updating, structural identification, design variables, response surface methodology, regularization methods, structural behavior

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