Relevant bibliographies by topics / Finite element modal updating

Academic literature on the topic 'Finite element modal updating'

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Published: 14 March 2023

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Journal articles on the topic "Finite element modal updating"

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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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Tu, Fei. "Application of Sliding Smoothing Method Denoising in Model Updating Damage Identification." Journal of Physics: Conference Series 2185, no. 1 (January 1, 2022): 012014. http://dx.doi.org/10.1088/1742-6596/2185/1/012014.

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Abstract The accuracy of finite element model updating for structural damage identification is easily affected by the noise in the measured modal, so the sliding smoothing method is introduced to reduce the impact of noise. In each iteration step, the sliding smoothing method denoising is applied to the difference between measured modal and simulated modal from the finite element model because the time-frequency characteristic of actual modal is different from noise modal. The modal parameters after denoising are used to construct objective function for modal updating, and the optimal question is solved to determine the stiffness in finite element model. Finally, the stiffness change can indicate the damage position and magnitude. The numerical analysis shows the proposed method can improve the robustness of finite element model updating for the structural damage identification.
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HUMBERT, L., F. THOUVEREZ, and L. JEZEQUEL. "FINITE ELEMENT DYNAMIC MODEL UPDATING USING MODAL THERMOELASTIC FIELDS." Journal of Sound and Vibration 228, no. 2 (November 1999): 397–420. http://dx.doi.org/10.1006/jsvi.1999.2411.

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Zhang, Bao Qiang, Guo Ping Chen, and Qin Tao Guo. "Finite Element Model Updating for Unsymmetrical Damping System with Genetic Algorithm." Applied Mechanics and Materials 166-169 (May 2012): 2999–3003. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.2999.

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Finite element model updating using incomplete complex modal data for unsymmetrical damping system with genetic algorithm is presented. The genetic algorithm method and finite element model updating based on optimization method using complex modal eigenvalue are introduced. The updating for simulation example about a flexible rotor system which is a typical unsymmetrical damping system is performed using bearing stiffness, bearing damping and diameter moment of inertia parameters. The results show that the maximum error of updated parameters is 0.15% and the objective function of genetic algorithm is 0.0081. The study demonstrates that the finite element model updating method using incomplete complex modal data with genetic algorithm is feasible and effective for unsymmetrical damping system.
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Sun, Kaipeng, Yonghui Zhao, and Haiyan Hu. "Experimental Studies on Finite Element Model Updating for a Heated Beam-Like Structure." Shock and Vibration 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/143254.

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An experimental study was made for the identification procedure of time-varying modal parameters and the finite element model updating technique of a beam-like thermal structure in both steady and unsteady high temperature environments. An improved time-varying autoregressive method was proposed first to extract the instantaneous natural frequencies of the structure in the unsteady high temperature environment. Based on the identified modal parameters, then, a finite element model for the structure was updated by using Kriging meta-model and optimization-based finite-element model updating method. The temperature-dependent parameters to be updated were expressed as low-order polynomials of temperature increase, and the finite element model updating problem was solved by updating several coefficients of the polynomials. The experimental results demonstrated the effectiveness of the time-varying modal parameter identification method and showed that the instantaneous natural frequencies of the updated model well tracked the trends of the measured values with high accuracy.
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Fouzi, M. S. M., K. M. Jelani, N. A. Nazri, and Mohd Shahrir Mohd Sani. "Finite Element Modelling and Updating of Welded Thin-Walled Beam." International Journal of Automotive and Mechanical Engineering 15, no. 4 (December 24, 2018): 5874–89. http://dx.doi.org/10.15282/ijame.15.4.2018.12.0449.

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This article concentrates on the finite element (FE) modelling approach to model welded thin-walled beam and the adoption of model updating technique to enhance the dynamic characteristic of the FE model. Four different types of element connectors which are RBE2, CBAR, CBEAM and CELAS format are used to construct the FE model of welded structure. Normal mode analysis is performed using finite element analysis (FEA) software, MSC Patran/Nastran to extract the modal parameters (natural frequency and mode shape) of the FE model. The precision of predicted modal parameters obtained from the four models of welded structure are compared with the measured counterparts. The dynamic characteristics of a measured counterpart is obtained through experimental modal analysis (EMA) using impact hammer method with roving accelerometer under free-free boundary conditions. In correlation process, the CBAR model has been selected for updating purposes due to its accuracy in prediction with measured counterparts and contains updating parameters compared to the others. Ahead of the updating process, sensitivity analysis is made to select the most sensitive parameter for updating purpose. Optimization algorithm in MSC Nastran is used in FE model updating process. As a result, the discrepancy between EMA and FEA is managed to be reduced. It shows the percentage of error for updated CBAR model shrinks from 7.85 % to 2.07 % when compared with measured counterpart. Hence, it is found that using FE model updating process provides an efficient and systemic way to perform a feasible FE model in replicating the real structure.
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Marwala, Tshilidzi, and Sibusiso Sibisi. "Finite Element Model Updating Using Bayesian Framework and Modal Properties." Journal of Aircraft 42, no. 1 (January 2005): 275–78. http://dx.doi.org/10.2514/1.11841.

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Chen, Hua-Peng, and Than Soe Maung. "Regularised finite element model updating using measured incomplete modal data." Journal of Sound and Vibration 333, no. 21 (October 2014): 5566–82. http://dx.doi.org/10.1016/j.jsv.2014.05.051.

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Wang, De Jun, Zhi Cheng Tan, Yang Li, and Yang Liu. "Review of the Application of Finite Element Model Updating to Civil Structures." Key Engineering Materials 574 (September 2013): 107–15. http://dx.doi.org/10.4028/www.scientific.net/kem.574.107.

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Structural finite element model (FEM) updating in dynamics usually deemed the measured modal parameters as the goal. By modifying the theoretical FEM, the updated modal parameters obtained by the analytical FEM would finally tend to the testing results. But the own complexity of the civil structure leads the optimization problem of FEM updating to be super-size and high non-linear performance. Moreover, the uncertainty and nonuniformity of the structures, material and the environment effect cause the uncertainty of the updating parameters, even the optimization objective function of FEM updating. These features has brought greater difficulty to the model updating in civil engineering structure, especially for the application field. Therefore, in this paper several kinds of methods for FEM updating would be introduced with the comparison of their advantages, disadvantages and the range of application. At the end of this paper, the problems remained to be solved in FEM updating of civil structures are to be presented.
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Xiao, Tian Yin, Jian Gang Han, and Hong Bo Gao. "Finite Element Model Updating of Space Grid Structures." Advanced Materials Research 243-249 (May 2011): 116–19. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.116.

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The aim of updating models is to generate improved numerical models which may be applied in order to predict actual dynamic behaviors of the structure. The approach of numerical predictions to the behavior of a physical system is limited by the assumptions used in the development of the mathematical model. Model updating is about correcting invalid assumptions by processing vibration test results. Updating by improving the physical meaning of the model requires the application of considerable physical insight in the choice of parameters to update and the arrangement of constraints, force inputs and response measurements in the vibration test. The choice of updating parameters is the most important and the numerical predictions should be sensitive to small changes in the parameters. So methods used in model updating places a demand that the mass, stiffness and damping terms should be based on physically meaningful parameters. Using the structure frequency and local modal shape acquired from structural time-history responses, a model updating method of space grid structures was established in this paper. A numerical example is provided to prove the accuracy of this method. The results show that the method can be effectively used to correct the finite element model of space grid structures.
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Dissertations / Theses on the topic "Finite element modal updating"

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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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Gotin, Nathalie. "Finite Element Model Updating for Rotary Machinery." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/864.

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The main approach of this thesis was to develop a mathematical model that represents a rotary machine. Experimental data was used to define a finite element model (FEM). In order to obtain the experimental data, the rotary machine had to be balanced. An impact hammer test made it possible to obtain frequency response functions (FRF). The frequency response functions were curvefitted in order to obtain the mode shapes and natural frequencies. Mathematical models have been created with ABAQUS and Matlab. For the Matlab Model the assumption has been made that the rotor machine consists of a specific number of beam elements. The FEM matrices have been reduced with the Guyan Reduction Method to coincide with the DOFs of the experiment. Applying the method of the least square to an Error Function made it possible to obtain new values for the stiffness and damping of the bearings (). This made it possible to update the mathematical model. By applying the Model Assumption Criterion the theoretical model and those detected from the experimental measurement could be validated. The correlation for Mode Shapes 1 could be improved from 0.6647 to 0.8186 and for Mode Shape 2 from 0.0209 to 0.4208. Therefore, the created method could be proven to work. Additionally the whole theory has been validated with a very simplified model.
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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 the operating point, i.e. the combination of load, speed, altitude etc., at which the aircraft is travelling. The process of identifying the modal properties of systems in-service is called Operational Modal Analysis (OMA). Not knowing the input complicates the analysis. Most of the techniques in the literature overcome the lack of knowledge about the unmeasured excitations by assuming they are both spatially and frequentially white, i.e. of equal magnitude and with a flat autospectrum. This thesis presents a new technique for OMA which relaxes these constraints, requiring only that the system is excited by a so called cyclostationary input with a unique cyclic frequency, and that the log spectrum of the second order component of this input is frequentially smooth, as will be explained. Such systems include vehicles with internal combustion engines as the vibration from such an engine exhibits cyclostationary statistics. In this thesis, the technique is applied to a laboratory test rig and a passenger train both using an artificial input, and to a race car using the engine as the excitation. By combining cyclostationary signal processing and the concept of the cepstrum, the technique identifies the resonances and anti-resonances in the transfer functions between each response and the cyclostationary source. These resonances and antiresonances can be used to regenerate Frequency Response Functions (FRFs) and it is shown how the unknown scaling of the system can be recovered by employing finite element model updating in conjunction with this regeneration. In addition, the contribution made to model updating by the anti-resonances is also investigated. Finally, the potential of OMA to inform a model updating process is demonstrated using an experimental case study on a diesel railcar.
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Ozturk, Murat. "Finite Element Structural Model Updating By Using Experimental Frequency Response Functions." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610608/index.pdf.

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Initial forms of analytical models created to simulate real engineering structures may generally yield dynamic response predictions different than those obtained from experimental tests. Since testing a real structure under every possible excitation is not practical, it is essential to transform the initial mathematical model to a model which reflects the characteristics of the actual structure in a better way. By using structural model updating techniques, the initial mathematical model is adjusted so that it simulates the experimental measurements more closely. In this study, a sensitivity-based finite element (FE) model updating method using experimental frequency response (FRF) data is presented. This study bases on a technique developed in an earlier study on the computation of the so-called Mis-correlation Index (MCI) used for identifying the system matrices which require updating. MCI values are calculated for each required coordinate, and non-zero numerical values indicate coordinates carrying error. In this work a new model updating procedure based on the minimization of this index is developed. The method uses sensitivity approach. FE models are iteratively updated by minimizing MCI values using sensitivities. The validation of the method is realized through some case studies. In order to demonstrate the application of the method for real systems, a real test data obtained from the modal test of a scaled aircraft model (GARTEUR SM-AG19) is used. In the application, the FE model of the scaled aircraft is updated. In the case studies the generic software developed in this study is used along with some commercial programs.
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Levin, Robert Ian. "Dynamic Finite Element model updating using neural networks." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264075.

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Waters, Timothy Paul. "Finite element model updating using frequency response functions." Thesis, University of Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294617.

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Terrell, Michael John. "Constrained generic substructures in finite element model updating." Thesis, University of Bristol, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430175.

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Greening, Paul David. "Dynamic finite element modelling and updating of loaded structures." Thesis, University of Bristol, 1999. http://hdl.handle.net/1983/5f23c082-ba8b-4860-a81d-ca5e507fd632.

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Pilkey, Deborah F. "Computation of a Damping Matrix for Finite Element Model Updating." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30453.

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The characterization of damping is important in making accurate predictions of both the true response and the frequency response of any device or structure dominated by energy dissipation. The process of modeling damping matrices and experimental verification of those is challenging because damping can not be determined via static tests as can mass and stiffness. Furthermore, damping is more difficult to determine from dynamic measurements than natural frequency. However, damping is extremely important in formulating predictive models of structures. In addition, damping matrix identification may be useful in diagnostics or health monitoring of structures. The objective of this work is to find a robust, practical procedure to identify damping matrices. All aspects of the damping identification procedure are investigated. The procedures for damping identification presented herein are based on prior knowledge of the finite element or analytical mass matrices and measured eigendata. Alternately, a procedure is based on knowledge of the mass and stiffness matrices and the eigendata. With this in mind, an exploration into model reduction and updating is needed to make the problem more complete for practical applications. Additionally, high performance computing is used as a tool to deal with large problems. High Performance Fortran is exploited for this purpose. Finally, several examples, including one experimental example are used to illustrate the use of these new damping matrix identification algorithms and to explore their robustness.
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Khodaparast, Hamed Haddad. "Stochastic finite element model updating and its application in aeroelasticity." Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548785.

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Books on the topic "Finite element modal updating"

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Friswell, M. I., and J. E. Mottershead. Finite Element Model Updating in Structural Dynamics. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8.

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E, Mottershead J., ed. Finite Element Model Updating in Structural Dynamics. Dordrecht: Springer Netherlands, 1995.

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

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Marwala, Tshilidzi. Finite-element-model Updating Using Computional Intelligence Techniques. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-323-7.

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Marwala, Tshilidzi, Ilyes Boulkaibet, and Sondipon Adhikari. Probabilistic Finite Element Model Updating Using Bayesian Statistics. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119153023.

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Pampalone, Michael R. Development, correlation and updating of a finite element model of the OH-6A helicopter. Monterey, Calif: Naval Postgraduate School, 1996.

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

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Friswell, Michael Ian. Updating finite element models using measured vibration data. Birmingham: Aston University. Department of Mechanical and Production Engineering, 1990.

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Ross, C. T. F. Finite element techniques in structural mechanics. Chichester, England: Albion Pub., 1996.

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C, Steele N., ed. Finite element techniques in structural mechanics. Chichester: Albion Publishing, 1996.

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Book chapters on the topic "Finite element modal updating"

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Friswell, M. I., and J. E. Mottershead. "Finite Element Modelling." In Finite Element Model Updating in Structural Dynamics, 7–35. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_2.

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Friswell, M. I., and J. E. Mottershead. "Direct Methods using Modal Data." In Finite Element Model Updating in Structural Dynamics, 126–57. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_7.

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Friswell, M. I., and J. E. Mottershead. "Iterative Methods using Modal Data." In Finite Element Model Updating in Structural Dynamics, 158–227. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_8.

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Jensen, Hector, and Costas Papadimitriou. "Bayesian Finite Element Model Updating." In Sub-structure Coupling for Dynamic Analysis, 179–227. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12819-7_7.

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Friswell, M. I., and J. E. Mottershead. "Parameters for Model Updating." In Finite Element Model Updating in Structural Dynamics, 98–125. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_6.

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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, 313–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30249-2_28.

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Amador, Sandro, Martin Juul, Tobias Friis, and Rune Brincker. "Finite Element Model Updating Using the Local Correspondence Principle." In Topics in Modal Analysis & Testing, Volume 9, 309–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74700-2_34.

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Yaghoubi, Vahid, Majid K. Vakilzadeh, Anders T. Johansson, and Thomas Abrahamsson. "Stochastic Finite Element Model Updating by Bootstrapping." In Model Validation and Uncertainty Quantification, Volume 3, 117–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29754-5_11.

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Friswell, M. I., and J. E. Mottershead. "Introduction." In Finite Element Model Updating in Structural Dynamics, 1–6. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_1.

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Brughmans, Marc, Jan Leuridan, and Kevin Blauwkamp. "Case Study: An Automobile Body." In Finite Element Model Updating in Structural Dynamics, 257–78. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8508-8_10.

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Conference papers on the topic "Finite element modal updating"

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Moine, Pascal, Laurent Billet, and Denis Aubry. "Updating a Non-Conservative Finite Element Model: Two Modal Methods." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0706.

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Abstract Two updating methods using modal data are proposed to update damped F.E. models. The first one is based on a sensitivity approach whereas the second one minimises some energy error. It is possible to derive from the second method a density error function which allows to localise erroneous structural parameters. Numerical tests are presented in order to evaluate the performances of the two methods.
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Giagopoulos, Dimitrios, and Alexandros Arailopoulos. "Parameter Identification of Complex Structures Using Finite Element Model Updating Techniques." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47500.

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In this work, an integrated reverse engineering strategy is presented that takes into account the complete process, from the developing of CAD model and the experimental modal analysis procedures to computational effective model updating techniques. Modal identification and structural model updating methods are applied, leading to develop high fidelity finite element model of geometrically complex and lightweight bicycle frame, using acceleration measurements. First, exploiting a 3D Laser Scanner, the digital shape of the real bike frame was developed and the final parametric CAD model was created. Next the finite element model of the frame was created by using quadrilateral shell and hexahedral solid elements. Due to complex geometry of the structure, the developed model consists of about one million degrees of freedom. The identification of modal characteristics of the frame is based on acceleration time histories, which are obtained through an experimental investigation of its dynamic response in a support-free state by imposing impulsive loading. A high modal density modal model is obtained. The modal characteristics are then used to update the finite element model. Single and multiobjective structural identification methods with appropriate substructuring methods, are used for estimating the parameters (material properties and shell thickness properties) of the finite element model, based on minimizing the deviations between the experimental and analytical modal characteristics (modal frequencies and mode shapes). Direct comparison of the numerical and experimental data verified the reliability and accuracy of the methodology applied.
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Sanayei, Masoud, and Christopher DiCarlo. "Finite Element Model Updating of Scale Bridge Model Using Measured Modal Response Data." In Structures Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41031(341)11.

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Mares, Cristinel, and Cecilia Surace. "Updating Rotor-Bearing Finite Element Models." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4155.

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Abstract In this paper, the possibility of updating the finite element model of a rotor-bearing system by estimating the bearing stiffness and damping coefficients from a few measured Frequency Response Functions using a Genetic Algorithm is investigated. The issues of identifiability and parameters estimation errors, computational costs and algorithm tuning are addressed. A simulated example of a flexible rotor supported by orthotropic bearings is used for illustrating the method.
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Fatahi, Laleh, Shapour Moradi, and Pejman Razi. "The Application of Bees Algorithm in Finite Element Model Updating." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24191.

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This research work is aimed to investigate the application of bees algorithm (BA) to the finite element (FE) model updating. BA is an evolutionary optimization algorithm that imitates the natural foraging behavior of the honeybees to find the global optimum of an objective function. Here, the weighted squared sum of the error between the measured modal parameters and the FE model predictions is considered as the objective function. To demonstrate the effectiveness of the proposed method, BA is applied on a piping system to update several physical parameters of its FE model. The results obtained from the numerical model are compared with the experimental ones obtained through the modal testing. The results show that BA successfully updates the FE model. Moreover, the performance of this approach is compared with two popular optimization methods; the genetic algorithm (GA) and the particle swarm optimization (PSO). The comparison shows the advantage of BA over GA and its similarity to PSO in terms of accuracy in the presented case study. However, BA reaches to the optimum solution faster than PSO and GA. Therefore, it can be concluded that BA is a robust and accurate optimization method that could be a good candidate for the FE model updating.
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Jiménez Alonso, Javier F., Emma J. Hudson, Aleksandar Pavic, and Andrés Sáez. "Probabilistic Finite Element Model Updating of Civil Engineering Structures: A Comparative Study." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1269.

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<p>Finite element (FE) model updating of civil engineering structures is usually performed under the modal domain. According to this approach, the value of the main physical parameters of the structure is modified in order to reduce the relative differences between the experimental and numerical modal parameters of the structure. To date, two methods are widely used to perform the FE model updating: (i) the maximum likelihood method and (ii) the Bayesian method. The second method is usually implemented via sampling methods. Thus, the FE model updating consists in determining an efficient sampling of each considered physical parameter of the model. Herein, two sampling techniques, the Metropolis-Hastings (M-H) algorithm and the Slice Sampling (SS) algorithm, are compared when they are implemented for the FE model updating of a laboratory steel footbridge.</p>
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Kashama Guzunza, Mohammed, Ozgur Ozcelik, Umut Yucel, and Ozgur Girgin. "Application of Optimization Based Finite Element Model Updating Method On 3d Printed Model Structures." In 2nd International Conference on Research in Science, Engineering and Technology. Acavent, 2019. http://dx.doi.org/10.33422/2nd.icrset.2019.11.780.

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Nowadays it becomes trend in studying of dynamic behavior on complex structure. Model updating is one of the tools developed for verifying accuracy of finite element models. In this paper, method for computing model updating on finite element model and effective the experimental modal analysis of structural systems is developed. The identification method developed in this study is based on time-domain system identification numerical techniques. The case study considered in this work is a 3D printed structure that be modeled as a two-story shear building system with irregular torsion. A preliminary numerical model of the two-story shear building system is developed by using SAP2000 and the experimental modal parameters data are collected in the laboratory buy some test then are modeled by Artemis modal pro. After obtaining the results from numerical modal and experimental modal, it was brought to FEMtools software to improve the match between the dynamic properties of an initial structure and the experimentally estimated modal data for updating. After updating, it’s shown that optimization was done, that some unknown material parameters (such as mass density and young modulus) of materials and/or boundary conditions were optimized by FEMtools Optimization that provides the possibility to perform design optimization on updated finite element models.
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EWING, M., J. CHROSTOWSKI, and T. HASSELMAN. "Comparison of popular finite element model updating techniques." In Dynamics Specialists Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2135.

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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. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-2005.

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Ereiz, Suzana, Ivan Duvnjak, and Javier Fernando Jiménez-Alonso. "Finite element model updating methods for structural application." In Common Foundations 2021. Association of Croatian Civil Engineering Faculties, 2021. http://dx.doi.org/10.5592/co/zt.2021.04.

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Reports on the topic "Finite element modal updating"

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Spencer, Nathan. Impeller deflection and modal finite element analysis. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1096476.

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