Relevant bibliographies by topics / Model updating method

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Model updating method'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Model updating method"

1

Yin, Hong, Jingjing Ma, Kangli Dong, Zhenrui Peng, Pan Cui, and Chenghao Yang. "Model Updating Method Based on Kriging Model for Structural Dynamics." Shock and Vibration 2019 (April 23, 2019): 1–12. http://dx.doi.org/10.1155/2019/8086024.

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Model updating in structural dynamics has attracted much attention in recent decades. And high computational cost is frequently encountered during model updating. Surrogate model has attracted considerable attention for saving computational cost in finite element model updating (FEMU). In this study, a model updating method using frequency response function (FRF) based on Kriging model is proposed. The optimal excitation point is selected by using modal participation criterion. Initial sample points are chosen via design of experiment (DOE), and Kriging model is built using the corresponding a
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Rui, Qiang, and Hong Yan Wang. "SRSM-Based Stochastic Model Updating Method." Advanced Materials Research 774-776 (September 2013): 12–16. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.12.

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With the combination of stochastic response surface model (SRSM) and Monte Carlo simulation (MCS)-based inverse error propagation method, a computational efficiency stochastic model updating approach has been proposed. The SRSM of original finite element model is determined using the Hermite polynomial chaos expansion and regression-based efficient collocation method. The efficiency of this method is demonstrated as a large number of computational demanding full model simulations are no longer essential, and instead, the updating of parameter mean values and variances is implemented on explici
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Hu, Sau-Lon James, Huajun Li, and Shuqing Wang. "Cross-model cross-mode method for model updating." Mechanical Systems and Signal Processing 21, no. 4 (2007): 1690–703. http://dx.doi.org/10.1016/j.ymssp.2006.07.012.

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Nobari, Ali Salehzadeh, and Mohammad Ali Farjoo. "Comparison Between Dedicated Model Updating Methods and Hybrid Method." Journal of Aircraft 41, no. 5 (2004): 999–1004. http://dx.doi.org/10.2514/1.260.

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Krasnorutskiy, D. A., P. A. Lakiza, V. A. Berns, and E. P. Zhukov. "Finite Element Model Updating Method of Dynamic Systems." PNRPU Mechanics Bulletin, no. 3 (December 15, 2021): 84–95. http://dx.doi.org/10.15593/perm.mech/2021.3.08.

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The finite element model updating method of dynamical systems based on results of modal tests is proposed. The purpose of updating is to change eigenspectrum. The method alters a stiffness matrix by adding an updating finite element model created on the nodes of the intial one with respect to the existing links between the linear degrees of freedom. The stiffnesses of the updating elements are utilized as the updating parameters to be defined. The objective function equals to the least square weighted sum of residuals between the target, which were determined experimentally, and current values
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Sanko, Nobuhiro. "Updating function model: Model updating method transferable in a wider range of data sizes." Asian Transport Studies 8 (2022): 100071. http://dx.doi.org/10.1016/j.eastsj.2022.100071.

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Yang, J., H. F. Lam, and J. Hu. "Ambient Vibration Test, Modal Identification and Structural Model Updating Following Bayesian Framework." International Journal of Structural Stability and Dynamics 15, no. 07 (2015): 1540024. http://dx.doi.org/10.1142/s0219455415400246.

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Structural health monitoring (SHM) of civil engineering structures based on vibration data includes three main components: ambient vibration test, modal identification and model updating. This paper discussed these three components in detail and proposes a general framework of SHM for practical application. First, a fast Bayesian modal identification method based on Fast Fourier Transform (FFT) is introduced for efficiently extracting modal parameters together with the corresponding uncertainties from ambient vibration data. A recently developed Bayesian model updating method using Markov chai
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Li, Zhi Gang, Ying Chao Li, Shu Qing Wang, and Bin Yang. "Finite Element Model Updating of a Steel Jacket Scale Model." Applied Mechanics and Materials 166-169 (May 2012): 588–92. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.588.

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In this paper, the finite element model of a steel jacket scale model is updated using modal parameters identified by modal test. Updating parameters are selected based on sensitivity analysis by solving modal energies. And then, a two-steps updating process is carried out using different parameters and the Cross-Model Cross-Mode (CMCM) model updating method is applied in each step. Results indicate that with selection of updating parameters and sensitivity analysis, CMCM method can update the finite element model with physical meanings.
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Wei, Chunjie, and Jian Wang. "The Modified Increment Method for Eigenspace Model." Academic Journal of Applied Mathematical Sciences, no. 74 (August 13, 2021): 187–91. http://dx.doi.org/10.32861/ajams.74.187.191.

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Eigenspace is a convenient way to represent sets of observations with widespread applications, so it is necessary to accurately calculate the eigenspace of data. With the advent of the era of big data, the increasing and updating of data bring great challenges to the solution of eigenspace. Hall, et al. [1], proposed that the incremental method could update the eigenspace of data online, which reduces computational costs and storage space. In this paper, the updating coefficient of the sample covariance matrix in an incremental method is modified. Numerical analysis shows that the modified upd
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Zhang, De-Wen, and Lingmi Zhang. "Matrix transformation method for updating dynamic model." AIAA Journal 30, no. 5 (1992): 1440–43. http://dx.doi.org/10.2514/3.11083.

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Dissertations / Theses on the topic "Model updating method"

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Hanson, David Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Operational modal analysis and model updating with a cyclostationary input." Awarded by:University of New South Wales. School of Mechanical and Manufacturing Engineering, 2006. http://handle.unsw.edu.au/1959.4/31199.

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This thesis addresses the problem of identifying the modal properties of a system based only on measurements of the system responses. This situation is frequently encountered in structural dynamics and is particularly relevant for systems where the in-service excitation is not artificially reproducible. The inherent non-linearities in these systems mean that the modal properties estimated using traditional input/output techniques will be different to those exhibited in operation. A common example from the literature is an aircraft in flight where the modal properties are heavily influenced by
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Li, Yi Yuan. "Direct finite element model updating using incomplete modal data inspired from system control." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691080.

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Zweber, Jeffrey Vincent. "A method for structural dynamic model updating via the estimation of damping parameters." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/12447.

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Nichols, Jonathan Tyler. "Application of Load Updating to a Complex Three Dimensional Frame Structure." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78274.

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This thesis presents a novel method for the correlation of FEM results to experimental test results known as the "Load updating method." Specifically, the load updating method uses the math model from the FEM and the strains measured from experimental or flight test data as inputs and then predicts the loads in the FEM which would result in strains that would correlate best to the measured strains in the least squared sense. In this research, the load updating method is applied to the analysis of a complex frame structure whose validation is challenging due to the complex nature of its structu
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Choi, Jiduck. "Investigation of the dynamic behavior of a cable-harnessed structure." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/49114.

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To obtain predictive modeling of a spacecraft, the author investigates the effects of adding cables to a simple structure with the goal of developing an understanding of how cables interacting with a structure. In this research, the author presents predictive and accurate modeling of a cable-harnessed structure by means of the Spectral Element Method (SEM). A double beam model is used to emulate a cable-harnessed structure. SEM modeling can define the location and the number of connections between the two beams in a convenient fashion. The proposed modeling is applied and compared with the con
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Karaagacli, Taylan. "Determination Of Dynamically Equivalent Fe Models Of Aircraft Structures By Using Modal Test Data." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612522/index.pdf.

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Reliable flutter analysis of aircraft structures is a major requirement to determine safe flight envelops. Dynamically equivalent finite element model of an aircraft structure correlating well with experimental modal is a major requirement for a reliable flutter analysis. Currently available model updating techniques require enormous time and engineering work to achieve appropriate finite element models of aircraft structures. The method developed within the scope of this thesis work aims to remove important disadvantages of common model updating procedures. In doing this, the method starts wi
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Phillips, Peter Louis. "Integrated Multiaxial Experimentation and Constitutive Modeling." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1492598070791388.

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Ahuja, Kapil. "Recycling Krylov Subspaces and Preconditioners." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29539.

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Science and engineering problems frequently require solving a sequence of single linear systems or a sequence of dual linear systems. We develop algorithms that recycle Krylov subspaces and preconditioners from one system (or pair of systems) in the sequence to the next, leading to efficient solutions. Besides the benefit of only having to store few Lanczos vectors, using BiConjugate Gradients (BiCG) to solve dual linear systems may have application-specific advantages. For example, using BiCG to solve the dual linear systems arising in interpolatory model reduction provides a backward err
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Ao, Wai Kei. "Electromagnetic damping for control of vibration in civil structures." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/31145.

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This thesis investigates an alternative solution to deal with the civil structure vibration. Non-contact electromagnetic or Eddy current damping is selected as a score of vibration suppression. Electromagnetic damping relies on the interaction between a permanent magnet and conductor. An electromagnetic damper (EMD) is applied both to a laboratory footbridge structure and 6-storey model-scale aluminium moment resisting frame (AMRF). In this first study the EMD is connected in series with an electronic shunt circuit to construct an electromagnetic shunt damper (EMSD). A robust optimisation meth
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Lindemann, Sylvester. "Model updating an einem biegeelastischen Rotor." Kassel : Kassel Univ. Press, 2009. http://d-nb.info/994839081/34.

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Books on the topic "Model updating method"

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Friswell, M. I. Finite element model updating in structural dynamics. Kluwer Academic Publishers, 1995.

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Craig, Roy R. Substructure system identification for finite element model updating: Final report, NASA grant no. NAG8-1130. Center for Aeronautical Research, Bureau of Engineering Research, the University of Texas at Austin, 1997.

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Groshev, Igor', and Andrey Zheregelya. Managing an organization's digital transformation in the context of the emerging data economy. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2150883.

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The monograph is devoted to the problem of managing the digital transformation of an organization in the context of the formation of the digital ecosystem of the modern economy. The digital transformation of socio-economic systems, the business sphere, and social life has become dominant in Russian society in recent years, accelerating commercial and business interaction, accelerating the economy, and forming new communication flows. It is based on the methodology of an integrated approach and system analysis. The theoretical basis is the publications of domestic and foreign scientists and pra
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Steyerberg, Ewout W. Clinical prediction models: A practical approach to development, validation, and updating. Springer, 2009.

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Marwala, Tshilidzi. Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics. Springer, 2010.

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Marwala, Tshilidzi. Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics. Springer, 2014.

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Marwala, Tshilidzi, Sondipon Adhikari, and Ilyes Boulkaibet. Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering. Wiley & Sons, Limited, John, 2016.

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Marwala, Tshilidzi, Sondipon Adhikari, and Ilyes Boulkaibet. Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering. Wiley & Sons, Limited, John, 2016.

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Marwala, Tshilidzi, Sondipon Adhikari, and Ilyes Boulkaibet. Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering. Wiley & Sons, Incorporated, John, 2016.

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Marwala, Tshilidzi, Sondipon Adhikari, and Ilyes Boulkaibet. Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering. Wiley & Sons, Incorporated, John, 2016.

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Book chapters on the topic "Model updating method"

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Mottershead, John E., Michael Link, Tiago A. N. Silva, Yves Govers, and Hamed Haddad Khodaparast. "The Sensitivity Method in Stochastic Model Updating." In Mechanisms and Machine Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09918-7_5.

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Weng, Shun, Hongping Zhu, and Yong Xia. "Substructuring Method for Finite Element Model Updating." In Engineering Applications of Computational Methods. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1369-5_9.

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Mottershead, John, and Sifeng Bi. "Model Updating: Sensitivity Method and Bayesian Inference." In CISM International Centre for Mechanical Sciences. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89979-9_2.

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Weng, Shun, Hongping Zhu, and Yong Xia. "Model Updating of Nonlinear Structures Using Substructuring Method." In Engineering Applications of Computational Methods. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1369-5_14.

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Yang, Jiahua, and Yi Zheng. "Quantifying Uncertainties in Model Updating Following Bayesian Approach Using a Parameter Space-Search Algorithm." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2417-8_8.

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AbstractModel updating aims to provide accurate models to reveal possible structural damage information for structural health monitoring (SHM). Uncertainties always exist in model updating due to incomplete information in measurement and modeling. These uncertainties usually cause the problem of non-uniqueness, i.e., multiple equivalent models can fit the experimental data the same well. Locating all these equivalent models and including them for representing structural dynamics is a challenging task. This work employs a Bayesian probabilistic framework for model updating, so that the uncertai
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Zhou, Shanglian, and Wei Song. "A Finite Element Model Updating Method Considering Environmental Impacts." In Topics in Modal Analysis & Testing, Volume 10. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30249-2_28.

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Mottershead, John E., H. Haddad Khodaparast, R. P. Dwight, and K. J. Badcock. "Stochastic Model Updating: Perturbation, Interval Method and Bayesian Inference." In Springer Proceedings in Physics. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2069-5_2.

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Shi, Sumu, Cong Peng, Bei Li, Junyi Liu, Sijia Yu, and Zheyan Ji. "A Self-updating Digital Model Method for Aero-Engines." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2204-7_26.

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Yang, Jiahua, and En-Jie Meng. "A New Bayesian Method for Dynamic System Identification Using FFT Data." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2417-8_7.

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AbstractDynamic system identification is an important field of research focused on identifying accurate system models of structures for predicting dynamic behaviors. This field finds widespread application in downstream research such as response prediction, structural failure and reliability analysis, and related areas of structural health monitoring. Conventional methods update structural finite element models (FEMs) using experimental modal parameters, because excitations are difficult to measure for full-scale structures and measured responses cannot be used as data in model updating. One c
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Sehgal, Shankar, and Harmesh Kumar. "Damage Detection Using Derringer’s Function based Weighted Model Updating Method." In Structural Health Monitoring, Volume 5. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04570-2_27.

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Conference papers on the topic "Model updating method"

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Li, Yongzhi, Erming He, Chunping Zhou, Menghan Yin, and Fanglong Wang. "An efficient model updating method for multilayer thermal insulation structures based on surrogate model." In First Aerospace Frontiers Conference (AFC 2024), edited by Han Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3032406.

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Tan, Jinlan, Dongping Hu, Li Li, and Peiliu Shao. "The Method of Uncertainty Finite Element Model Revision based on Bayesian Updating Theory." In 2025 3rd International Conference on Data Science and Information System (ICDSIS). IEEE, 2025. https://doi.org/10.1109/icdsis65355.2025.11071034.

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Dos Santos Souza, Luiz Fernando. "Composite plates model updating using Kriging method." In 24th ABCM International Congress of Mechanical Engineering. ABCM, 2017. http://dx.doi.org/10.26678/abcm.cobem2017.cob17-0326.

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Deng, Lu, and C. S. Cai. "Bridge Model Updating Using Response Surface Method." In 12th Biennial International Conference on Engineering, Construction, and Operations in Challenging Environments; and Fourth NASA/ARO/ASCE Workshop on Granular Materials in Lunar and Martian Exploration. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41096(366)213.

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Jung, Hunsang, Youngjin Park, and K. C. Park. "Mode Decoupling Controller for Feedback Model Updating." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59697.

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A novel concept of feedback loop design for modal test and model updating is proposed. This method uses the closed-loop frequency information for parameter modifications to overcome the problems associated with the conventional methods employing the modal sensitivity matrix. To obtain new modal information from the closed-loop system, controllers should be effective in changing modal data while guaranteeing the stability of the closed-loop system. The present paper proposes a mode-decoupling controller that can alter a target mode while guaranteeing the stability of the closed-loop, and that c
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Xianmin, Zhang. "A Singular-Value Decomposition Method for Updating the Analytical Model." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4152.

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Abstract Based on the theory of singular-value decomposition and the matrix approximation technique, an analytical model updating method using the identified model parameters is developed. Firstly, The identified modal matrix is decomposed by means of singular-value decomposition technique. The general updating equations for the analytical model are obtained according to the decomposition results, the eigenequation of the system, and the modal orthogonality relations. Secondly, the best matrix approximation solution for the updating equations is definited. The existence and uniqueness of the b
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Abouelainine, Abderrahim, and Patrick Morelle. "An Open Model Updating Software: Application to Car Suspension Model Updating." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14513.

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Abstract The open model updating software described here is built on a quadratic programming method with a sensitivity analysis, for constrained optimization problem with bounded variables. The updating software is tested here with a numerical car suspension model in the objective to minimize the deviation between measures and simulations. The appropriate results obtained here show the efficiency of the updating software.
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Collignon, Philippe, and Jean-Claude Golinval. "Reliable Mode Shape Expansion Method for Error Localisation and Model Updating." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4145.

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Abstract Failure detection and model updating using structural model are based on the comparison of an appropriate indicator of the discrepancy between experimental and analytical results. The reliability of the expansion of measured mode shapes is very important for the process of error localization and model updating. Two mode shape expansion techniques are examined in this paper : the well known dynamic expansion (DE) method and a method based on the minimisation of errors on constitutive equations (MECE). A new expansion method based on some improvements of the previous techniques is propo
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Sung, Heejun, Seongmin Chang, and Maenghyo Cho. "Reduction method based structural model updating method via neural networks." In AIAA Scitech 2020 Forum. American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-1445.

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Marwala, Tshilidzi. "Finite Element Model Updating Using Response Surface Method." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-2005.

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Reports on the topic "Model updating method"

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Sridhar. L52203 Internal Corrosion Direct Assessment of Gas Transmission and Storage Lines. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0011361.

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Internal corrosion occurs where water or other corrosive electrolyte accumulates. This is the principle used in Internal Corrosion Direct Assessment (ICDA). The objective of the project is to perform field validation of the dry gas ICDA methodology and develop a wet gas ICDA methodology. The project showed that the principle of the dry-gas ICDA methodology is valid However, many uncertainties remain both in data collection as well as detailed examination. The data and model uncertainties were addressed using a probabilistic method, combined with field data using a Bayesian updating method. An
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Maydykovskiy, Igor, and Petras Užpelkis. The Physical Essence of Time. Intellectual Archive, 2020. http://dx.doi.org/10.32370/iaj.2450.

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The article considers the model of the space-frequency-time continuum, according to which the physical essence of Time is manifested as a fraction of electromagnetic energy spent on updating a material object in a cyclic process of copying-incarnation. For all structural levels of physical reality, the value of this fraction is a fundamental constant, which can be represented as the tangent of the loss angle, or expressed in radians, as the angle of inclination of the evolutionary spiral, which characterizes the rate of change of states or the duration of events and processes. The value of thi
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McKay, S., Nate Richards, and Todd Swannack. Ecological model development : evaluation of system quality. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45380.

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Ecological models are used throughout the US Army Corps of Engineers (USACE) to inform decisions related to ecosystem restoration, water operations, environmental impact assessment, environmental mitigation, and other topics. Ecological models are typically developed in phases of conceptualization, quantification, evaluation, application, and communication. Evaluation is a process for assessing the technical quality, reliability, and ecological basis of a model and includes techniques such as calibration, verification, validation, and review. In this technical note (TN), we describe an approac
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Secan, James A. An Investigation of Methods for Updating Ionospheric Scintillation Models Using Topside In-Situ Plasma Density Measurements. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada243378.

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Serafica, Ramonette, and Queen Cel Oren. A Snapshot of Innovation in the Philippine Services Sector. Philippine Institute for Development Studies, 2024. http://dx.doi.org/10.62986/dp2024.14.

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The Philippine Development Plan 2023–2028 recognizes innovation as one of the drivers of growth in the services sector, creating a strategic framework to reinvigorate the sector and strengthen creativity and innovation. To help formulate the appropriate strategies and policies, this paper examines the evidence on innovation in service industries using the 2021 Survey of Innovation Activities of Establishments, which provided broader sector coverage. The survey was conducted during the pandemic when firms had to pivot to new modes of service delivery to survive. It gives a more nuanced profile
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Tire Experimental Characterization Using Contactless Measurement Methods. SAE International, 2021. http://dx.doi.org/10.4271/2021-01-1114.

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In the frame of automotive Noise Vibration and Harshness (NVH) evaluation, inner cabin noise is among the most important indicators. The main noise contributors can be identified in engine, suspensions, tires, powertrain, brake system, etc. With the advent of E-vehicles and the consequent absence of the Internal Combustion Engine (ICE), tire/road noise has gained more importance, particularly at mid-speed driving and in the spectrum up to 300 Hz. At the state of the art, the identification and characterization of Noise and Vibration sources rely on pointwise sensors (microphones, accelerometer
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