Structural dynamic load identification in time domain&nbsp;based on Gibbs sampling

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (2) : 85-90.

Structural dynamic load identification in time domain based on Gibbs sampling

WANG Ting 1 WAN Zhimin 2 ZHENG Weiguang 2

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Abstract

The regularization technique is often employed to deal with the ill-posed problem of load identification. However, regularization parameters obtained with the traditional regularization technique are constant. Here, a novel approach of load identification in time domain based on Gibbs sampling method was proposed to assume unknown loads and measurement noise to be stochastic variables. The hierarchical Bayesian model of load identification was built. Gibbs sampling was adopted to obtain the posterior probability density distributions of the identified loads. Numerical simulations were performed to demonstrate the effectiveness of the proposed method by comparing the simulated results using this method with those using Tikhonov regularization method based on L-curve and GCV criterion.

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load identification / Bayesian / Gibbs sampling / regularization technique

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WANG Ting 1 WAN Zhimin 2 ZHENG Weiguang 2. Structural dynamic load identification in time domain based on Gibbs sampling[J]. Journal of Vibration and Shock, 2018, 37(2): 85-90

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