The DOI matches its Crossref record; 299 of the 302 references it cites were found in a registry or an index, and 3 are not checked yet.
Review of finite element model updating methods for structural applications
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Simplifying assumptions for some analytical techniques may lead to inaccuracies when dealing with complex geometry, such as sandwich structures with nonlinear materials or intricate failure modes [26].”
From Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture (2024) · cites this paper as [26]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Items 201–302 of 302
Finite element model updating of the UCF grid benchmark using measured frequency response functions
Sipple, J. D., & Sanayei, M. (2014) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2014.01.008 · Cited by 28
Alkayem, N. F., Cao, M., & Ragulskis, M. K. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105604 · Cited by 28
Pareto Explorer for Finding the Knee for Many Objective Optimization Problems
Cuate, O., & Schütze, O. (2020) · Mathematics · doi:10.3390/math8101651 · Cited by 28
A multi-level finite element nodal ordering using algebraic graph theory
Kaveh, A., & Bondarabady, H. A. R. (2002) · Finite Elements in Analysis and Design · doi:10.1016/s0168-874x(01)00062-2 · Cited by 27
Altunışık, A. C., Karahasan, O. Ş., Okur, F. Y., Okur, E. K., & Özgan, K. (2018) · Journal of Testing and Evaluation · doi:10.1520/jte20180122 · Cited by 27
Rutherford, A. C., Inman, D., Park, G., & Hemez, F. (2004) · Shock and Vibration · doi:10.1155/2005/484283 · Cited by 26
Dhandole, S. D., & Modak, S. V. (2011) · Applied Mathematical Modelling · doi:10.1016/j.apm.2011.07.029 · Cited by 26
Vibration‐Based Damage Detection and Seismic Performance Assessment of Bridges
Özer, E., & Soyöz, S. (2013) · Earthquake Spectra · doi:10.1193/080612eqs255m · Cited by 26
Parameter selection and covariance updating
Silva, T. A. N., Maia, N. M. M., Link, M., & Mottershead, J. E. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.08.034 · Cited by 26
Park, W., Kim, H.-K., & Park, J. (2012) · Structural Engineering International · doi:10.2749/101686612x13216060212870 · Cited by 26
Kim, S., Kim, N., Park, Y.-S., & Jin, S.-S. (2019) · Sensors · doi:10.3390/s19235099 · Cited by 26
He, L., Reynders, E. P. B., García‐Palacios, J. H., Marano, G. C., Briseghella, B., & Roeck, G. D. (2020) · Applied Sciences · doi:10.3390/app10072347 · Cited by 26
Modal Strain Energy-Based Model Updating Method for Damage Identification on Beam-Like Structures
Yang, X., Ouyang, H., Guo, X., & Cao, S. (2020) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0002812 · Cited by 26
Developing an Instantaneous Response Surface Method t-IRS for Time-Dependent Reliability Analysis
Li, J., Chen, J., Wei, J., Zhang, X., & Han, B. (2019) · Acta Mechanica Solida Sinica · doi:10.1007/s10338-019-00096-5 · Cited by 25
Multiresolution Bayesian nonparametric general regression for structural model updating
Yuen, K., & Ortiz, G. A. (2017) · Structural Control and Health Monitoring · doi:10.1002/stc.2077 · Cited by 24
Sparse regularization-based damage detection in a bridge subjected to unknown moving forces
Pan, C., & Yu, L. M. (2019) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-019-00343-w · Cited by 24
Soman, R., & Malinowski, P. (2019) · Journal of Sensors · doi:10.1155/2019/9614630 · Cited by 23
Finite element model selection using Particle Swarm Optimization
Mthembu, L., Marwala, T., Friswell, M. I., & Adhikari, S. (2011) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-1-4419-9831-6_6 · Cited by 22
Identification of stiffness and damping characteristics of axial air-foil bearings
Arora, V., van der Hoogt, P. J. M., Aarts, R. G. K. M., & de Boer, A. (2011) · International Journal of Mechanics and Materials in Design · doi:10.1007/s10999-011-9161-7 · Cited by 22
Wu, W., Prendergast, L. J., & Gavin, K. G. (2018) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2018.05.049 · Cited by 22
Mojtahedi, A., Hokmabady, H., Abyaneh, S. S. Z., & Nassiraei, H. (2018) · Journal of Marine Science and Technology · doi:10.1007/s00773-018-0589-4 · Cited by 22
Model updating and variability analysis of modal parameters for super high‐rise structure
Ye, X., & Chen, B. (2018) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.4712 · Cited by 22
Low Frequency Damage Analysis of Electric Pylon Model by Fuzzy Logic Application
Dominik, I., Iwaniec, M., & Lech, Ł. (2013) · Journal of low frequency noise, vibration and active control · doi:10.1260/0263-0923.32.3.239 · Cited by 22
Exact bounds for the sensitivity analysis of structures with uncertain-but-bounded parameters
Qiu, Z., Hu, J., Yang, J., & Lu, Q. (2007) · Applied Mathematical Modelling · doi:10.1016/j.apm.2007.03.004 · Cited by 21
On parallel Branch and Bound frameworks for Global Optimization
Herrera, J. F. R., Salmerón, J. M. G., Hendrix, E. M. T., Asenjo, R., & Casado, L. G. (2017) · Journal of Global Optimization · doi:10.1007/s10898-017-0508-y · Cited by 21
Hou, J., An, Y., Wang, S., Wang, Z., Jankowski, Ł., & Ou, J. (2018) · Journal of Engineering Mechanics · doi:10.1061/(asce)em.1943-7889.0001523 · Cited by 21
Modal Sensitivity Based Sensor Placement for Damage Identification Under Sparsity Constraint
Błachowski, B. (2019) · Periodica Polytechnica Civil Engineering · doi:10.3311/ppci.13888 · Cited by 21
Model Updating Using Frequency Response Functions Based on Sherman–Morrison Formula
Wu, Y., Zhu, R., Cao, Z., Liu, Y., & Jiang, D. L. (2020) · Applied Sciences · doi:10.3390/app10144985 · Cited by 21
Unweighted Multiple Group Method with Arithmetic Mean
Yujian, L., & Li-ye, X. (2010) · doi:10.1109/bicta.2010.5645232 · Cited by 20
Vibration-based Model Updating and Identification of Multiple Axial Forces in Truss Structures
Luong, H. T. M., Zabel, V., Lorenz, W., & Rohrmann, R. G. (2017) · Procedia Engineering · doi:10.1016/j.proeng.2017.04.499 · Cited by 20
Kernicky, T. P., Whelan, M. J., & Al-Shaer, E. S. (2018) · Structural Health Monitoring · doi:10.1177/1475921718806476 · Cited by 20
Yin, T., Zhu, H. P., & Fu, S. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.03.009 · Cited by 20
Jeffreys priors for mixture estimation: Properties and alternatives
Grazian, C., & Robert, C. P. (2018) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2017.12.005 · Cited by 19
Operational Modal Analysis and Bayesian Model Updating of a Coupled Building
Hu, J. L., & Yang, J. (2018) · International Journal of Structural Stability and Dynamics · doi:10.1142/s0219455419400121 · Cited by 19
Foundation identification using dynamic strain and acceleration measurements
Davis, N. T., & Sanayei, M. (2020) · Engineering Structures · doi:10.1016/j.engstruct.2019.109811 · Cited by 19
Pu, Q., Hong, Y., Chen, L., Yang, S., & Xu, X. (2018) · Advances in Structural Engineering · doi:10.1177/1369433218789556 · Cited by 18
Bayesian model updating of a 20-story office building utilizing operational modal analysis results
Lam, H., Hu, J. L., & Adeagbo, M. O. (2019) · Advances in Structural Engineering · doi:10.1177/1369433218825043 · Cited by 18
Durmazgezer, E., Yucel, U., & Özçelik, Ö. (2019) · Bulletin of Earthquake Engineering · doi:10.1007/s10518-019-00690-5 · Cited by 18
Dynamic displacements-based model updating with motion capture system
Oh, B. K., Hwang, J. W., Choi, S. W., Kim, Y., Cho, T., & Park, H. S. (2016) · Structural Control and Health Monitoring · doi:10.1002/stc.1904 · Cited by 17
Sun, H., Chen, W., Cai, S., & Zhang, B. (2020) · Journal of Bridge Engineering · doi:10.1061/(asce)be.1943-5592.0001550 · Cited by 17
Liu, H., Song, G., Jiao, Y., Zhang, P., & Wang, X. (2014) · Mathematical Problems in Engineering · doi:10.1155/2014/640925 · Cited by 16
Review of the Application of Finite Element Model Updating to Civil Structures
Wang, D. J., Tan, Z. C., Yang, L., & Liu, Y. (2013) · Key engineering materials · doi:10.4028/www.scientific.net/kem.574.107 · Cited by 16
Damping Matrix Identification by Finite Element Model Updating Using Frequency Response Data
Pradhan, S. K., & Modak, S. V. (2016) · International Journal of Structural Stability and Dynamics · doi:10.1142/s0219455417500043 · Cited by 16
Remaining stiffness estimation of buildings using incomplete measurements
Eskew, E. L., & Jang, S. (2016) · Structural Control and Health Monitoring · doi:10.1002/stc.1899 · Cited by 16
Bayesian Two-Phase Gamma Process Model for Damage Detection and Prognosis
Prakash, G., & Narasimhan, S. (2017) · Journal of Engineering Mechanics · doi:10.1061/(asce)em.1943-7889.0001386 · Cited by 16
Viattchenin, D. A., Tati, R., & Damaratski, A. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 15
Sun, L., & Xu, Y. (2020) · Journal of Vibroengineering · doi:10.21595/jve.2020.21271 · Cited by 15
Spectral trisection of finite element models
Kaveh, A., & Bondarabady, H. A. R. (2001) · International Journal of Numerical Methods for Heat & Fluid Flow · doi:10.1108/09615530110389199 · Cited by 14
Dey, P., Talukdar, S., & Bordoloi, D. J. (2015) · Structural Control and Health Monitoring · doi:10.1002/stc.1818 · Cited by 14
Optimizing the conditioning of structural flexibility matrices
Kaveh, A. (1991) · Computers & Structures · doi:10.1016/0045-7949(91)90142-9 · Cited by 13
System identification of the suspension tower of Runyang Bridge based on ambient vibration tests
Li, Z., Feng, D., Feng, M. Q., & Xu, X. (2017) · Smart Structures and Systems · doi:10.12989/sss.2017.19.5.523 · Cited by 13
Environmental-effects-embedded model updating method considering environmental impacts
Zhou, S., & Song, W. (2017) · Structural Control and Health Monitoring · doi:10.1002/stc.2116 · Cited by 13
On the Impact of the Choice of the Prior in Bayesian Statistics
Ghaderinezhad, F., & Ley, C. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.88994 · Cited by 13
Feng, Z., Lin, Y., Wang, W., Hua, X., & Chen, Z. (2020) · Sensors · doi:10.3390/s20113197 · Cited by 13
Fuzzy Finite Element Model Updating Using Metaheuristic Optimization Algorithms
Boulkaibet, I., Marwala, T., Friswell, M. I., Khodaparast, H. H., & Adhikari, S. (2017) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-53841-9_8 · Cited by 12
Model Updating for the Selection of an Ancient Bridge Retrofitting Method in Almeria, Spain
Jiménez‐Alonso, J. F., & Sáez, A. (2016) · Structural Engineering International · doi:10.2749/101686615x14355644771333 · Cited by 12
Multi-Objective Optimization Methods as a Decision Making Strategy
Nagy, M., Mansour, Y., & Abdelmohsen, S. M. (2020) · International Journal of Engineering Research and · doi:10.17577/ijertv9is030480 · Cited by 12
Moravej, H., Chan, T. H. T., Jesus, A. H., & Nguyen, K.-D. (2020) · International Journal of Structural Stability and Dynamics · doi:10.1142/s0219455420420031 · Cited by 12
Bayesian model updating using incomplete modal data without mode matching
Sun, H. Y., & Büyüköztürk, O. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2219300 · Cited by 11
Damage Diagnosis of Structures Using Modal Data and Static Response
Kourehli, S. S. (2016) · Periodica Polytechnica Civil Engineering · doi:10.3311/ppci.7646 · Cited by 11
Kaveh, A., Pishghadam, M., & Jafarvand, A. (2020) · Mechanics Based Design of Structures and Machines · doi:10.1080/15397734.2020.1755682 · Cited by 11
Model updating of large structural dynamics models using measured response functions
Grafe, H. (1999) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 11
Comparative study of model updating methods using frequency response function data
Jiang, D., Zhang, P., Fei, Q., & Wu, S. (2014) · Journal of Vibroengineering · doi:10.21595/jve.2014.14999 · Cited by 10
Finite element model updating for large span spatial steel structure considering uncertainties
Teng, J., Zhu, Y., Zhou, F., Li, H., & Ou, J. (2010) · Journal of Central South University of Technology · doi:10.1007/s11771-010-0567-4 · Cited by 10
Graph coloration and group theory in dynamic analysis of symmetric finite element models
Kaveh, A., & Fazli, H. (2007) · Finite Elements in Analysis and Design · doi:10.1016/j.finel.2007.06.002 · Cited by 10
Updating of structural multi-scale monitoring model based on multi-objective optimisation
Cui, Y., Lu, W., & Teng, J. (2018) · Advances in Structural Engineering · doi:10.1177/1369433218805235 · Cited by 10
DOMAIN DECOMPOSITION FOR FINITE ELEMENT ANALYSIS
Kaveh, A., & Roosta, G. R. (1997) · Communications in Numerical Methods in Engineering · doi:10.1002/(sici)1099-0887(199702)13:2 · Cited by 9
Heo, G., & Jeon, J. (2016) · Shock and Vibration · doi:10.1155/2016/3287976 · Cited by 9
A FRF-based algorithm for damage detection using experimentally collected data
García-Palencia, A. J., Santini‐Bell, E., Gül, M., & Çatbaş, F. N. (2015) · Structural Monitoring and Maintenance · doi:10.12989/smm.2015.2.4.399 · Cited by 9
A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm
Bruneau, P., Parisot, O., & Otjacques, B. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.235 · Cited by 8
Aruna, A., & Ganguli, R. (2020) · International Journal for Computational Methods in Engineering Science and Mechanics · doi:10.1080/15502287.2020.1849447 · Cited by 8
Optimal Sensor Placement Using a Combined Genetic Algorithm–Ensemble Kalman Filter Framework
Nasr, D., & Saad, G. A. (2016) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · doi:10.1061/ajrua6.0000886 · Cited by 8
Bayesian Inference on Complicated Data
Tang, N. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.83214 · Cited by 8
Conditioning of structural stiffness matrices
Kaveh, A., & Ghaderi, I. (1997) · Computers & Structures · doi:10.1016/s0045-7949(96)00073-9 · Cited by 7
Bisection for parallel computing using Ritz and Fiedler vectors
Kaveh, A., & Bondarabady, H. A. R. (2004) · Acta Mechanica · doi:10.1007/s00707-003-0070-1 · Cited by 7
Stiffness Identification of High-Rise Buildings Based on Statistical Model-Updating Approach
Fujita, K., & Takewaki, I. (2018) · Frontiers in Built Environment · doi:10.3389/fbuil.2018.00009 · Cited by 7
Molina, J., Martínez-Castro, A. E., & Ortiz, P. (2018) · Frontiers in Built Environment · doi:10.3389/fbuil.2018.00069 · Cited by 7
One‐Step FE Model Updating Using Local Correspondence and Mode Shape Orthogonality
Juul, M., Amador, S., Skafte, A., Hansen, J. B., Aenlle, M. L., & Brincker, R. (2019) · Shock and Vibration · doi:10.1155/2019/1362954 · Cited by 7
Shahbaznia, M., Dehkordi, M. R., & Mirzaee, A. (2020) · Periodica Polytechnica Civil Engineering · doi:10.3311/ppci.15813 · Cited by 7
Razavi, M., & Hadidi, A. (2020) · Structural Monitoring and Maintenance · doi:10.12989/smm.2020.7.3.261 · Cited by 7
Finite Element Model Updating Based on Least Squares Support Vector Machines
Zhu, Y. F., & Zhang, L. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-01510-6_34 · Cited by 5
Structural model updating of steel box girder bridge using modal flexibility based deflections
Cui, J., Kim, D., Koo, K. Y., & Chaudhary, S. (2012) · The Baltic Journal of Road and Bridge Engineering · doi:10.3846/bjrbe.2012.34 · Cited by 5
Chaabane, M., Mansouri, M. M., Nounou, H. N., Nounou, M. N., & Hamida, A. B. (2016) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-016-0171-x · Cited by 5
Batch and Recursive Bayesian Estimation Methods for Nonlinear Structural System Identification
Astroza, R., Ebrahimian, H., & Conte, J. P. (2017) · Springer series in reliability engineering · doi:10.1007/978-3-319-52425-2_15 · Cited by 5
Jeenkour, P., Pattavanitch, J., & Boonlong, K. (2017) · Vibroengineering PROCEDIA · doi:10.21595/vp.2017.19345 · Cited by 5
PSO-based sparse regularization approach for structural damage detection
Luo, Z., & Yu, L. M. (2017) · International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) · doi:10.1109/fskd.2017.8392905 · Cited by 5
Bayesian evidence for finite element model updatingPreprint
Mthembu, L., Marwala, T., Friswell, M. I., & Adhikari, S. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0810.2643 · Cited by 4
Graph coloration and group theory for factorization of symmetric dynamic systems
Kaveh, A., & Fazli, H. (2007) · Acta Mechanica · doi:10.1007/s00707-006-0414-8 · Cited by 4
Bridge Model Updating Using Response Surface Method
Deng, L., & Cai, C. S. S. (2010) · ASCE International Conference on Engineering, Science, Construction, and Operations in Challenging Environments (Earth and Space) · doi:10.1061/41096(366)213 · Cited by 4
Finite Element Model Updating of Portage Creek Bridge
Feng, Y., Kaya, Y., & Ventura, C. E. (2016) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-29751-4_25 · Cited by 4
Finite element model updating using Lagrange interpolation
Asma, F. (2019) · Mechanics and Mechanical Engineering · doi:10.2478/mme-2019-0030 · Cited by 4
DATA FEATURES-BASED LIKELIHOOD-INFORMED BAYESIAN FINITE ELEMENT MODEL UPDATING
Jia, X., & Papadimitriou, C. (2019) · UNCECOMP Proceedings · doi:10.7712/120219.6328.18902 · Cited by 4
Structural Damage Assessment via Model Updating Using Augmented Grey Wolf Optimization Algorithm
Ghasemi, S. H., Amiri, G. G., & Dehcheshmeh, M. M. (2020) · International Journal of Engineering · doi:10.5829/ije.2020.33.07a.02 · Cited by 4
Shahidi, S. G., & Pakzad, S. N. (2014) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0001100 · Cited by 3
Modal Analysis of Two-Dimensional Beams Using Parallel Finite Element Method
Heydari, S., & Gharebaghi, S. A. (2017) · Scientia Iranica · doi:10.24200/sci.2017.4529 · Cited by 2
Ponsi, F., Bassoli, E., & Vincenzi, L. (2021) · Lecture notes in civil engineering · doi:10.1007/978-3-030-74258-4_34 · Cited by 2
Marwala, T. 1. (n.d.) · Cited by 2
Structural Model Updating of Frequency Response Function Based on Kriging Model
Wang, J., & Wang, C. (2016) · International Conference on Information Science and Control Engineering · doi:10.1109/icisce.2016.142 · Cited by 2
Han, J., & Yang, Y. (2016) · DEStech Transactions on Environment Energy and Earth Science · doi:10.12783/dteees/peee2016/3948 · Cited by 1
Structural Damage Detection using Genetic Algorithm by Static Measurements
Shallan, O., Eraky, A., Sakr, T., & Khozam, M. (2017) · doi:10.13140/rg.2.2.32822.96329 · Cited by 1
Bayesian Model Updating of a Damaged School Building in Sankhu, Nepal
Akhlaghi, M. M., Bose, S., Moaveni, B., et al. (2018) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-319-74793-4_28 · Cited by 1
Classical Set Theory: Theory of Sets and ClassesPreprint
Банах, Т. О. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.01613
Flagged first, then by citations
Research works printed but not linked: 16
- 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
- Sen S.,Bhattacharya B. Eigen structure assignment based finite element model updating, in: Int. Conf. Comput. Aided Eng., Chennai, 2013.
- Wang, 2016, 3rd Int, Conf Inf Sci Control Eng ICISCE, 2016, 640
- Eltouny K.,Liang X. A nonparametric unsupervised learning approach for structural damage detection. ArXiv 2020.
- 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
- Mohan, 2010, Discussion on Mathematical Modeling of Fuzzy Two-Term (PI / PD), Controllers, 8, 38
- Kaveh, 2016, Damage identification of truss structures using CBO and ECBO algorithms, Asian J Civ Eng, 17, 75
- Zong Woo Geem, 2001, A new heuristic optimization algorithm: Harmony search. A New Heuristic Optim. Algorithm Harmon, Search, 76, 60
- Wu, 2018, Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method, Adv Civ Eng, 2018, 1
- Conn, 2019, Introduction to Derivative-Free Optimization. MPS-SIAM Series on, Optimization
- A. Jung Machine Learning: Fundations, Methodologies and Applications 1st editio, 2018 Springer Singapore 10.1007/978-981-16-8193-6. · DOI
- 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
- Ivanova, 2016, We are IntechOpen, the world ’ s leading publisher of Open Access books Built by scientists, for scientists TOP 1 %, Intech, i, 13
- Ben, 2018, Model selection and adaptive sampling in surrogate modeling, Kriging and beyond
- Grabec, 1990, Biological Cybemetics, Neural Networks, 409, 403
- Кapycкeвич M.,Кopчyк O.,Лicoвcькa M. Structural Health monitoring, in: A. Wicks (Ed.), A Conf. Expo. Struct. Dyn., Springer, 2013: pp. 117–122.
Cited by
Sorted by citations
Review on smartphone sensing technology for structural health monitoring
Sarmadi, H., Entezami, A., Yuen, K., & Behkamal, B. (2023) · Measurement · doi:10.1016/j.measurement.2023.113716 · Cited by 113
Advances in artificial intelligence for structural health monitoring: A comprehensive review
Spencer, B. F., Sim, S., Kim, R. E., & Yoon, H. (2025) · KSCE Journal of Civil Engineering · doi:10.1016/j.kscej.2025.100203 · Cited by 98
Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice
Chen, B., Starman, B., Halilovič, M., Berglund, L. A., & Coppieters, S. (2024) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-024-10200-9 · Cited by 85
Damage identification of large-scale space truss structures based on stiffness separation method
Xiao, F., Sun, H., Mao, Y., & Chen, G. S. (2023) · Structures · doi:10.1016/j.istruc.2023.04.027 · Cited by 53
Kamali, S., Mariani, S., Hadianfard, M. A., & Marzani, A. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111416 · Cited by 52
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
- hybrid
- doi.org
- Licence
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review