Updating finite element models using measured vibration data.

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Aston University. Department of Mechanical and Production Engineering , Birmingham
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The comparison of structural responses, e.g. natural frequencies and mode shapes, between predictions and measurements is an important step in finite element (FE) model updating. Full-field measurement techniques such as high speed cameras with digital image correlation (DIC) algorithms provide detailed, global displacement by:   Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems.

FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using. Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems.

FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches.

Description Updating finite element models using measured vibration data. EPUB

Finite Element Model Updating Using Computational Intelligence Techniques applies both. Updating finite element models using measured vibration data Author: The modelling of mechanical structures using finite element analysis has become an indispensable stage in the design of new components and products.

Once the theoretical design has been optimised a prototype may be constructed and tested. A method related to a weighted. Model updating is a common method to improve the correlation between finite element (F.E.) models and measured data.

F.E. model updating is a technique that is used to identify and correct. Local finite element model updating is conducted by minimising the influence of the rest of the structure and by maximising the relative sensitivities with the inclusion of the fourth shaker.

This excitation is shown to be model independent; therefore, updating is separated from the measurement process. Structural Finite Element Model Updating Using Ambient Vibration Test Results from ambient vibration output-only data and they are paired well that measure the goodness of fit between the.

The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling.

Finite element model updating has emerged in the s as a subject of immense importance to the design, construction and maintenance of mechanical systems and civil engineering structures. This 5/5(1).

Finite Element Model Updating of Scale Bridge Model Using Measured Modal Response Data Structures Congress Don't Mess with Structural Engineers: Expanding Our Role April Structural Finite Element Model Updating Using Ambient Vibration Test Results.

Bayesian asymptotic approximations and sampling algorithms are then outlined. The framework is implemented for updating linear and nonlinear finite element models in structural dynamics using vibration measurements consisting of either identified modal frequencies or measured response time histories.

The updating of _nite element models by using vibration test data is an area which has received considerable attention from researchers in recent years[ A recent survey article 0 reported many advances\ although the problem of improving _nite element mechanical joint models remains very in many cases[ In their book\ Friswell and Mottershead.

New Methods for Finite Element Model Updating Problems. Stiffness matrix modification with vibration test data by displacement feedback technique.

Journal of Vibroengineering, Vol. 19, No. 7 A direct updating method for damped gyroscopic systems using measured modal data. Applied Mathematical Modelling, Vol.

34, No. Another way to alleviate the computational burden in FE model updating is to replace a full-order model by a reduced-order model (ROM). NASA adopted a system equivalent reduction expansion process to tune FE models using the ground vibration test data, and natural frequencies and mode shapes of the FE model were matched to the measured data.

Finite element model updating of concrete-filled steel tubular arch bridge under operational condition using modal flexibility Mechanical Systems and Signal Processing, Vol.

21, No. 6 Accelerated random search method for dynamic FE model updating. : Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics () by Marwala, Tshilidzi and a great selection of similar New, Used and Collectible Books available now at great prices.

One of the most promising fields of finite element model updating involves using data obtained from the modal response of a structure to update a finite element model. The University of Central Florida (UCF) has constructed a scale model of a two span bridge.

A new direct method for the finite element (FE) matrix updating problem in a hysteretic (or material) damping model based on measured incomplete vibration modal data is presented. With this method, the optimally approximated stiffness and hysteretic damping matrices can be easily constructed.

The physical connectivity of the original model is preserved and the measured modal data are embedded. Get this from a library. Finite-element-model updating using computational intelligence techniques: applications to structural dynamics. [Tshilidzi Marwala] -- "Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems.

Details Updating finite element models using measured vibration data. FB2

FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using. This paper presents an updating method for Finite Element model for short-span bridges by combining static and dynamic responses for. In this paper, PSV laser vibration detector and B vibration pick-up are used to measure the ambient vibration of an actual aqueduct in China, and the peak picking method is used to identify the modal parameters of the aqueduct.

The finite element model of the aqueduct is established, and a model updating method based on multi-objective optimization algorithm is proposed. The purpose of this paper is to demonstrate how ambient vibration Modal Identification techniques can be effectively used with Model Updating tools to develop reliable finite element models of large civil engineering structures.

A fifteen story and a forty-eight story reinforced concrete buildings are used as case studies for this purpose. Calibration of finite element (FE) models of bridges using their field measured responses can be used as a powerful tool for their condition assessment and health monitoring.

The field data, measured on the bridges, can be used to either update a baseline FE model of the bridge or to identify the structural changes from a baseline FE model.

In the case of lightweight structures, this model must take into account the presence of the piezoelectric components.

One possible method to obtain such a model consists in using a model updating strategy. A state-of-the-art review of finite element model updating methods can be found in.

All these methods rely on stiffness, damping and mass. The paper compares the performance of the generic element matrices, recently introduced by the authors, with other selection strategies for finite element model updating. The updated models obtained from these methods are compared with the measured data and rated according to their ability to produce the measured data within and beyond the frequency range used in the updating, and.

The functions of the tools are processing the signals obtained from forced and ambient vibration tests of structures, determining the dynamic characteristics of structural systems, and automatically updating the analytical finite element (FE) models.

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The software group is composed of three programs named as SignalCAD, ModalCAD, and FemUP. Accurate modeling of damping is essential for prediction of vibration response of a structure. This paper presents a study of damping matrix identification method using experimental data.

The identification is done by performing finite element (FE) model updating using. This paper presents a sensitivity-analysis-based FE model updating procedure for FE model updating of Runyang Cable-stayed Bridge tower based on ambient vibration measurements.

The updated model results correlate well with the experimental data in both the active frequency range and the passive frequency range. Model Updating for Damage Detection: A general class of damage detection algorithms is based on model updating.

Model parameters are varied until the model approximates the behavior of the true observed system. To identify an optimal model, the outputs from the observed system are used to evaluate a pre-defined objective (or error) function. Required Precision and Valid Methodologies for Dynamic Finite Element Model Updating R.

Levin, R. Levin Dynamic models, Eigenvalues, Finite element analysis, Finite element model, Vibration. Imregun, M., and Ewins, D.

J., “Direct Use of Measured FRF Data to Update Finite Element Models,” Proceedings of 17th International. Finite-element model updating using experimental test data: parametrization and regularization BY MICHAEL I. FRISWELL1, JOHN E.

MOTTERSHEAD2 AND HAMID AHMADIAN3 1Department of Mechanical Engineering, University of Wales Swansea, Swansea SA2 8PP, UK 2Department of Engineering, University of Liverpool, Liverpool L69 3BX, UK.These techniques use the modeshape components as unknowns to be determined by the data, and have the advantage of avoiding the problem of identifying the correspondence between model and measured modes.

Moreover, the computation of modal frequencies and modeshapes of the finite element model .In order to simulate the cutting performance of a spindle mounted in the machine tool, the finite element (FE) model of spindles is required to be coupled with machine tool.

However, the unknown joint dynamics (e.g., bolts) between the spindle and machine tool column limit the accuracy of the model. In this paper, an FE model updating method is proposed based on the identification of joint.