Abstract
PurposeThis paper aims to propose numerical-based and experiment-based identification processes, accounting for uncertainties to identify structural parameters, in a wave propagation framework.Design/methodology/approachA variant of the inhomogeneous wave correlation (IWC) method is proposed. It consists on identifying the propagation parameters, such as the wavenumber and the wave attenuation, from the frequency response functions. The latters can be computed numerically or experimentally. The identification process is thus called numerical-based or experiment-based, respectively. The proposed variant of the IWC method is then combined with the Latin hypercube sampling method for uncertainty propagation. Stochastic processes are consequently proposed allowing more realistic identification.FindingsThe proposed variant of the IWC method permits to identify accurately the propagation parameters of isotropic and composite beams, whatever the type of the identification process in which it is included: numerical-based or experiment-based. Its efficiency is proved with respect to an analytical model and the Mc Daniel method, considered as reference. The application of the stochastic identification processes shows good agreement between simulation and experiment-based results and that all identified parameters are affected by uncertainties, except damping.Originality/valueThe proposed variant of the IWC method is an accurate alternative for structural identification on wide frequency ranges. Numerical-based identification process can reduce experiments’ cost without significant loss of accuracy. Statistical investigations of the randomness of identified parameters illustrate the robustness of identification against uncertainties.
Highlights
Structural identification forms an ever growing emphasis in engineering applications, such as vibroacoustics (Ablitzer et al, 2014; Cherif et al, 2015; Roozen et al, 2017b)
In the context of a numerical-based identification process, the proposed inhomogeneous wave correlation (IWC)-variant uses as inputs frequency response functions (FRFs), which are computed numerically, to identify propagation parameters such as damping, wavenumber, wave attenuation and phase velocity. It efficiency is evaluated through its comparison to an analytical model, the classical IWC method and the Mc Daniel method, which is considered as reference
High oscillations affect the estimates of the classical IWC method, especially at low frequencies, around analytical and Mc Daniel estimates
Summary
Structural identification forms an ever growing emphasis in engineering applications, such as vibroacoustics (Ablitzer et al, 2014; Cherif et al, 2015; Roozen et al, 2017b). As mentioned in Berthaut (2004) and Inquiété (2008), the IWC method allows accurate parameter identification at mid and high frequencies when high modal overlap occurs In this case, energy is distributed in all propagation directions. In the context of a numerical-based identification process, the proposed IWC-variant uses as inputs frequency response functions (FRFs), which are computed numerically, to identify propagation parameters such as damping, wavenumber, wave attenuation and phase velocity. It efficiency is evaluated through its comparison to an analytical model, the classical IWC method and the Mc Daniel method, which is considered as reference. An experimental validation of the numerical-based identification results is carried out through an experiment-based identification process using as inputs FRFs which are measured experimentally
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