Statistical identification of structures

Collins, Jon D.; Kennedy, Bruce; Hart, Gary C.

doi:10.2514/6.1973-339

Cited by 20 publications

(30 citation statements)

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“…4) was studied to determine that the SM processor produces a good approximation of the eigenvalue changes caused by a structural property change. For an undamped linear system the two eigenvalues (frequency squared) for the model shown in figure 4 are (6) For this small problem where the eigenvalues are expressible algebraically, the terms of the sensitivity matrix due to stiffness changes are the derivatives of the eigenvalues with respect to the two stiffnesses. kl and k2.…”

Section: Resultsmentioning

confidence: 99%

Application of a systematic finite-element model modification technique to dynamic analysis of structures

Robinson

1982

23rd Structures, Structural Dynamics and Materials Conference

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Section: Resultsmentioning

confidence: 99%

Application of a systematic finite-element model modification technique to dynamic analysis of structures

Robinson

1982

23rd Structures, Structural Dynamics and Materials Conference

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“…When this CWELD element modelling to be used in dynamic analysis of structure of similar constructions, it is recommended to put the value for Young modulus of the patch three times the value for Young modulus of weld dynamic analysis of structure. Another spot weld model was proposed by Kuratani [18]. The model known as Area Contact Model 2 (ACM2) using multi point constraint (MPC) that designed in ANSYS software that having a same features as in NASTRAN.…”

Section: Fe Modelling Of Joints Structurementioning

confidence: 99%

“…Iterative method used either eigendata or frequency response function (FRF) to construct objective function. For analytical model updating, Collins [18] focused on the eigendata sensitivity meanwhile Lin and Ewins [19] used FRF data. Modak et al [20] and his next research [21] neglecting the damping, only focusing on comparison of response function method (RFM) and inverse eigensensitivity method with an objective to study the accuracy with which they predicted the corrections required in an FE model.…”

Section: Icmer 2015mentioning

confidence: 99%

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A review on model updating of joint structure for dynamic analysis purpose

et al. 2016

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Abstract. Structural joints provide connection between structural element (beam, plate etc.) in order to construct a whole assembled structure. There are many types of structural joints such as bolted joint, riveted joints and welded joints. The joints structures significantly contribute to structural stiffness and dynamic behaviour of structures hence the main objectives of this paper are to review on method of model updating on joints structure and to discuss the guidelines to perform model updating for dynamic analysis purpose. This review paper firstly will outline some of the existing finite element modelling works of joints structure. Experimental modal analysis is the next step to obtain modal parameters (natural frequency & mode shape) to validate and improve the discrepancy between results obtained from experimental and the simulation counterparts. Hence model updating will be carried out to minimize the differences between the two results. There are two methods of model updating; direct method and iterative method. Sensitivity analysis employed using SOL200 in NASTRAN by selecting the suitable updating parameters to avoid ill-conditioning problem. It is best to consider both geometrical and material properties in the updating procedure rather than choosing only a number of geometrical properties alone. Iterative method was chosen as the best model updating procedure because the physical meaning of updated parameters are guaranteed although this method required computational effort compare to direct method.

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“…Bayesian estimation reduces to a generalized least-squares problem [12]. We can modify the performance index of the basic algorithm as follows:…”

Section: Including Bayesian Estimation Conceptsmentioning

confidence: 99%

Finite Element Model Update via Bayesian Estimation and Minimization of Dynamic Residuals

Alvin

1997

AIAA Journal

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An algorithm is presented for updating finite element models based upon a minimization of dynamic residuals. The dynamic residual of interest is the force unbalance in the homogeneous form of the equations of motion arising from errors in the model's mass and stiffness when evaluated with the identified modal parameters. The present algorithm is a modification and extension of a previously-developed Sensitivity-Based Element-By-Element (SB-EBE) method for damage detection and finite element model updating. In the present algorithm, SB-EBE has been generalized to minimize a dynamic displacement residual quantity, which is shown to improve test-analysis mode correspondence. Furthermore, the algorithm has been modified to include Bayesian estimation concepts, and the underlying nonlinear optimization problem has been consistently linearized to improve the convergence properties. The resulting algorithm is demonstrated via numerical and experimental examples to be an efficient and robust method for both localizing model errors and estimating physical parameters.

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Statistical identification of structures

Cited by 20 publications

References 0 publications

Application of a systematic finite-element model modification technique to dynamic analysis of structures

Application of a systematic finite-element model modification technique to dynamic analysis of structures

A review on model updating of joint structure for dynamic analysis purpose

Finite Element Model Update via Bayesian Estimation and Minimization of Dynamic Residuals

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