DETERMINATION OF MASS, DAMPING AND STIFFNESS MATRICES USING STRUCTURAL AND PARAMETRIC IDENTIFICATION OF LINEAR VEHICLE FRAME MODELS

1988 ◽  
Vol 17 (sup1) ◽  
pp. 252-264 ◽  
Author(s):  
P. Michelberger ◽  
J. Bokor ◽  
A. Keresztes ◽  
P. Várlaki
Keyword(s):  
Parametric Identification ◽  
Stiffness Matrices ◽  
Structural And Parametric Identification

Application of Finite-Element Method to Interstiffener Buckling in Submersible Cylindrical Hulls

1983 ◽  
Vol 27 (04) ◽  
pp. 281-285
Author(s):  
K. Rajagopalan ◽  
C. Ganapathy Chettiar
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Computer Program ◽  
Cylindrical Shells ◽  
Geometric Stiffness ◽  
Stiffness Matrices ◽  
Finite Element Procedure ◽  
Stepwise Variation ◽  
Thin Walled

A finite-element procedure for the determination of buckling pressure of thin-walled cylindrical shells used in ocean structures is presented. The derivation of the elastic and geometric stiffness matrices is discussed in detail followed by a succinct description of the computer program developed by the authors during the course of this study for the determination of the buckling pressure. Particular attention is paid to the boundary conditions which strongly influence the buckling pressure. Applications involving the interstiffener buckling in submersible hulls and cylindrical shells with stepwise variation in wall thickness are considered and the results compared with the solutions and procedures available in the literature.

Damages Identification in the Cantilever-based on the Parameters of the Natural Oscillations

2016 ◽  
Vol 66 (1) ◽  
pp. 44 ◽  
Author(s):  
A. V. Cherpakov ◽  
A. N. Soloviev ◽  
V. V. Gritsenko ◽  
O. U. Goncharov
Keyword(s):  
Parametric Identification ◽  
Crack Size ◽  
Crack Identification ◽  
Natural Oscillations ◽  
Crack Location ◽  
Diagnostic Signs ◽  
Cantilever Construction ◽  
Two Stages ◽  
Local Extreme

<p>An approach to parametric identification of damages such as cracks in the rod cantilever construction is described. The identification method is based on analysis of shapes of the natural oscillations. The analytic modelling is performed in the Maple software on the base of the Euler-Bernoulli hypothesis. Crack is modelled by an elastic bending element. Transverse oscillations of the rod are considered. We take into account first four eigen modes of the oscillations. Parameters of amplitude, curvature and angle of bends of the waveforms are analysed. It was established that damage location is revealed by ‘kink’ on corresponding curves of the waveforms. The parameters of oscillation shapes are sensitive to the crack parameters in different degree. The novelty of the approach consists in that the identification procedure is divided into two stages: (a) it is determined the crack location, and (b) it is determined the crack size. Based on analytical modelling, an example of determination of dependence of the crack parameters on its size in the cantilever rod is presented. Study of features of the waveforms during identification of the fracture parameters shows that the features found in the form of ‘kinks’ and local extreme a of the angle between the tangent and curvature of waveforms for different modes of bending oscillations, define the crack location in cantilever. They can serve as one of diagnostic signs of crack identification and allow us to determine its location.</p><p><strong>Defence Science Journal, Vol. 66, No. 1, January 2016, pp. 44-50, DOI: http://dx.doi.org/10.14429/dsj.66.8182</strong></p><p> </p>

A New Approach for the Determination of Cam Follower System Parameters

1988 ◽  
Vol 202 (5) ◽  
pp. 361-368
Author(s):  
M K Baru ◽  
J Ellis
Keyword(s):  
Parametric Identification ◽  
Filter Method ◽  
New Approach ◽  
State Variable ◽  
Cam Follower ◽  
State Variable Filter ◽  
Stiffness And Damping ◽  
Design And Manufacture

This paper reports a first investigation in the use of the state variable filter method of parametric identification in the determination of the mass, stiffness and damping content of cam follower systems. Simulated and real experimental data are processed by the technique with good results. Further developments are necessary (extension to higher order systems and inclusion of Coulomb damping) with the long-term aim of applying the results in the design and manufacture of dynamically tuned cams.

scholarly journals Switching Systems: Active Mode Recognition, Identification of the Switching Law

2007 ◽  
Vol 2007 ◽  
pp. 1-11 ◽  
Author(s):  
Elom Ayih Domlan ◽  
José Ragot ◽  
Didier Maquin
Keyword(s):  
Parametric Identification ◽  
Output Data ◽  
Discrete State ◽  
Active Mode ◽  
Switching Law ◽  
Mode Recognition ◽  
System Input ◽  
Diagnosis Method ◽  
Time Point

The problem of the estimation of the discrete state of a switching system is studied. The knowledge of the switching law is essential for this kind of system as it simplifies their manipulation for control purposes. This paper investigates the use of a model-based diagnosis method for the determination of the active mode at each time point based on the system input/output data. The issue of the parametric identification of the switching law is also addressed.

scholarly journals Structural and Parametric Identification of Knowm Memristors

Nanomaterials ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 63
Author(s):  
Valerii Ostrovskii ◽  
Petr Fedoseev ◽  
Yulia Bobrova ◽  
Denis Butusov
Keyword(s):  
Parametric Identification ◽  
Visual Presentation ◽  
Experimental Setup ◽  
State Variables ◽  
Identification Method ◽  
Proposed Model ◽  
Wide Range ◽  
Identification Technique ◽  
Structural And Parametric Identification ◽  
Frequency Properties

This paper proposes a novel identification method for memristive devices using Knowm memristors as an example. The suggested identification method is presented as a generalized process for a wide range of memristive elements. An experimental setup was created to obtain a set of intrinsic I–V curves for Knowm memristors. Using the acquired measurements data and proposed identification technique, we developed a new mathematical model that considers low-current effects and cycle-to-cycle variability. The process of parametric identification for the proposed model is described. The obtained memristor model represents the switching threshold as a function of the state variables vector, making it possible to account for snapforward or snapback effects, frequency properties, and switching variability. Several tools for the visual presentation of the identification results are considered, and some limitations of the proposed model are discussed.

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