System identification of a composite plate using hybrid response surface methodology and particle swarm optimization in time domain

Sankar, P. Athi; Machavaram, Rajendra; Shankar, K.

doi:10.1016/j.measurement.2014.05.025

Cited by 16 publications

(2 citation statements)

References 12 publications

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“…The asymptotic models for the complex moduli, used by the authors, allowed for good reconstruction of the experimental natural frequencies and decay factor of specimens made of aluminum, glass, carbon fiber and wood. Most of the previous studies (with exception of [18], which uses time-domain data) use modal frequencies and decay factors and mode shapes as the data for reconstruction. These, in turn, are obtained via a pipeline of the scanning vibrometer and a modal post-processing software.…”

Section: Previous Theoretical and Experimental Studiesmentioning

confidence: 99%

Acquiring elastic properties of thin composite structure from vibrational testing data

Aksenov¹,

Vasyukov²,

Beklemysheva³

2022

Preprint

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The problem of acquiring elastic properties of a composite material from the data of the vibrational testing is considered. The specimen is considered to abide by the linear elasticity laws and subject to viscous-like damping. The BVP for transverse movement of such a specimen under harmonic load is formulated and solved with finite-element method. The problem of acquiring the elastic parameters is then formulated as a nonlinear leastsquare optimization problem. The usage of the automatic differentiation technique for stable and efficient computation of the gradient and hessian allows to use well-studied first and second order optimization methods, namely Newton's and BFGS. The results of the numerical experiments on simulated data are analyzed in order to provide insights for the experiment planning.

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Section: Previous Theoretical and Experimental Studiesmentioning

confidence: 99%

Acquiring elastic properties of thin composite structure from vibrational testing data

Aksenov¹,

Vasyukov²,

Beklemysheva³

2022

Preprint

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show abstract

“…Such a scenario motivates the need to consider the usage of model updating to improve the modeling capability of laminated structures with damping material. Recent research on the system identification of composite plate structure was conducted by Sankar et al [28] using hybrid response surface methodology and particle swarm optimization. Considering that the modeling solutions are mostly empirical and based on trial-and-error on material parameters, the model updating of smart laminated plate structures will be critically important since many parameters of structures cannot be measured directly.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling and model updating for smart laminated structures with viscoelastic damping

Zhan

Liu

et al. 2018

Smart Mater. Struct.

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This paper presents a numerical modeling method combined with model updating techniques for the analysis of smart laminated structures with viscoelastic damping. Starting with finite element formulation, the dynamics model with piezoelectric actuators is derived based on the constitutive law of the multilayer plate structure. The frequency-dependent characteristics of the viscoelastic core are represented utilizing the anelastic displacement fields (ADF) parametric model in the time domain. The analytical model is validated experimentally and used to analyze the influencing factors of kinetic parameters under parametric variations. Emphasis is placed upon model updating for smart laminated structures to improve the accuracy of the numerical model. Key design variables are selected through the smoothing spline ANOVA statistical technique to mitigate the computational cost. This updating strategy not only corrects the natural frequencies but also improves the accuracy of damping prediction. The effectiveness of the approach is examined through an application problem of a smart laminated plate. It is shown that a good consistency can be achieved between updated results and measurements. The proposed method is computationally efficient.

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Studying the Effectiveness of Multicriteria Decision-Making Tool Such as Response Surface Methodology for Dissimilar Friction Stir Spot Welding

Sampathkumar

2023

Springer Proceedings in Energy

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System identification of a composite plate using hybrid response surface methodology and particle swarm optimization in time domain

Cited by 16 publications

References 12 publications

Acquiring elastic properties of thin composite structure from vibrational testing data

Acquiring elastic properties of thin composite structure from vibrational testing data

Numerical modeling and model updating for smart laminated structures with viscoelastic damping

Studying the Effectiveness of Multicriteria Decision-Making Tool Such as Response Surface Methodology for Dissimilar Friction Stir Spot Welding

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