Parameter Estimation of Nonlinear Large Scale Systems Through Stochastic Methods and Measurement of Its Dynamic Response

Giagopoulos, Dimitrios; Αραϊλόπουλος, Αλέξανδρος

doi:10.7712/100016.2263.8597

Cited by 5 publications

(8 citation statements)

References 19 publications

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“…Latest references on application of RF (Radio Frequency) for nonlinear exhibited properties can be seen as follows: Design of hardware for RF dynamic range and distortion was presented by Narayanan, et al [8], One port device was designed to simulate the extraction procedure of extraction model for poly harmonic distortion was shown by Martí n-Guerrero, et al [9]. Parameter estimation of nonlinear largescale systems through stochastic methods and measurement of its dynamic response was designed by Dimitrios and Alexandros [10]. A novel kernel regularized nonlinear GMC model and its application was designed by Ma, et al [11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of X-Parameters Principle for Non-linear Vibroacoustic Membrane Using Two-Port Measurement

Moezzi¹,

Hlava²,

Vu³

2019

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X-parameters, a powerful solution to the simulation of nonlinear microwave components, can be used for other wave systems with distributed parameters. This paper introduces Xparameters to the acoustic field to deal with highly nonlinear large signals and boundary conditions. Firstly, an elastic membrane was selected to serve as the nonlinear boundary. Then, the equivalent electronic lumped model of the elastic membrane was established based on its nonlinear differential equation (NDE). The X-parameters of the model were determined by poly-harmonic distortion modelling. Then, an electrical analogy of the nonlinear system was established by two port method. The simulation and experimental results show that the properties of the elastic membrane were characterized well by the X-parameters.

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Section: Introductionmentioning

confidence: 99%

Implementation of X-Parameters Principle for Non-linear Vibroacoustic Membrane Using Two-Port Measurement

Moezzi¹,

Hlava²,

Vu³

2019

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“…Standard optimization techniques are then used to find the optimal values of the structural parameters that minimize a singleobjective function. [9][10][11][12][13] It is worthy to mention that using a full-scale FE model for conducting model updating has been investigated by previous researchers. Both gradient-based updating methods using deterministic objective function 14,15 and stochastic algorithms applying probabilistic objective functions 16 have been previously examined.…”

Section: Introductionmentioning

confidence: 99%

A model-based fatigue damage estimation framework of large-scale structural systems

Giagopoulos

Αραϊλόπουλος

Natsiavas

2019

Structural Health Monitoring

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A model-based fatigue damage estimation framework is proposed for online estimation of fatigue damage, for structural systems by integrating operational vibration measurements in a high-fidelity, large-scale, finite element (FE) model and applying a fatigue damage accumulation methodology. To proceed with fatigue predictions, one has to infer the stress response time histories characteristics based on the monitoring information contained in vibration measurements collected from a limited number of sensors attached to a structure. Predictions, like the existence, the location, the time, and the extent of the damage, are possible if one combines the information in the measurements with information obtained from a high-fidelity FE model of the structure. Such a model may be optimized with respect to the data, using state-of-the-art FE model updating techniques. These methods provide much more comprehensive information about the condition of the monitored system than the analysis of raw data. The diagnosed degradation state, along with its identified uncertainties, can be incorporated into robust reliability tools for updating predictions of the residual useful lifetime of structural components and safety against various failure modes taking into account stochastic models of future loading characteristics. Fatigue is estimated using the Palmgren–Miner damage rule, S-N curves, and rainflow cycle counting of the variable amplitude time histories of the stress components. Incorporating a numerical model of the structure in the response estimation procedure, permits stress estimation at unmeasured spots. The proposed method is applied in a steel frame of a real city bus.

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“…[8][9][10][11][12][13] The discrepancies between experimental and analytical time domain dynamic responses for the same imposed excitation are utilized as an overall measure of fit. 4,[14][15][16] Deterministic and probabilistic model-updating methods for damage identification have been extensively used to determine the optimal values of the structural parameters that minimize single-weighted residuals [17][18][19][20][21][22][23] or maximize the posterior probability density function (PDF) obtained from Bayesian techniques. [24][25][26][27][28][29] Deterministic model-updating methods assume that the behavior of both the experimentally examined system and the numerical law-based model can be sufficiently and accurately registered in space and time.…”

Section: Introductionmentioning

confidence: 99%

Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating

Giagopoulos

Αραϊλόπουλος

Dertimanis

et al. 2018

Structural Health Monitoring

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In this work, a computational framework is proposed for fatigue damage estimation in structural systems by integrating operational experimental measurements in a high-fidelity, large-scale finite element model. The proposed method is applied in a linear steel substructure of a lignite grinder assembly at a Public Power Corporation power plant. A finite element model of the steel base is developed and updated to match the dynamic characteristics measured in real operating conditions. This is achieved through coupled use of numerical and experimental methods for identifying, updating, and optimizing a high-fidelity finite element model. The full stress time histories of the complex mechanical assembly are estimated, at critical locations, by imposing operational vibration measurements from a limited number of sensors in the updated finite element model. Fatigue damage and remaining lifetime is subsequently estimated via commonly adopted engineering approaches, such as Palmgren-Miner damage rule, S-N curves, and rainflow cycle counting. Incorporation of a numerical model of the structure in the response estimation procedure permits stress estimation at unmeasured locations, thereby enabling the drawing of a complete and substantially dense fatigue map consistent with the vibration measurements. Fatigue predictions via the proposed framework are highly correlated to experimental fatigue results, proving the efficiency and applicability of the framework.

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Parameter Estimation of Nonlinear Large Scale Systems Through Stochastic Methods and Measurement of Its Dynamic Response

Abstract: Abstract. In this work, a computational framework is presented in order to

Cited by 5 publications

References 19 publications

Implementation of X-Parameters Principle for Non-linear Vibroacoustic Membrane Using Two-Port Measurement

Implementation of X-Parameters Principle for Non-linear Vibroacoustic Membrane Using Two-Port Measurement

A model-based fatigue damage estimation framework of large-scale structural systems

Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating

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