Experimental study of random dynamic loads identification based on weighted regularization method

Jia, You; Yang, Zhen; Song, Qian

doi:10.1016/j.jsv.2014.12.010

Cited by 44 publications

(23 citation statements)

References 17 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To further demonstrate the performance of the proposed method, the existing method, namely the weighted Tikhonov regularization method [22], is then employed to identify the random dynamic loads. The results of the identified random dynamic loads are shown in Fig.…”

Section: Comparative Study Of the Proposed Methodsmentioning

confidence: 99%

“…traditional load identification method, proposed method and method by Ref. [22]) at the resonance frequency are also listed in Tables 2-4. It is shown that the identified random dynamic loads by the proposed method match the actual loads much better than other methods, except for the worse results at the first resonance frequency.…”

Section: Comparative Study Of the Proposed Methodsmentioning

confidence: 99%

“…Comparison of the identified load by the weighted Tikhonov regularization method[22] with the actual loads: (a) exciting point 1; (b) exciting point 2; and (c) exciting point 3.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Random dynamic load identification based on error analysis and weighted total least squares method

Jia

Yang

Guo

et al. 2015

Journal of Sound and Vibration

Self Cite

View full text Add to dashboard Cite

Section: Comparative Study Of the Proposed Methodsmentioning

confidence: 99%

Section: Comparative Study Of the Proposed Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Random dynamic load identification based on error analysis and weighted total least squares method

Jia

Yang

Guo

et al. 2015

Journal of Sound and Vibration

Self Cite

View full text Add to dashboard Cite

“…On the basis of Bayesian approach, Zhang and Antoni [34] reconstructed the force and obtained the Bayesian credible intervals, which are built from its posterior probability density function by dealing with model uncertainty and measurement noise. Jia et al [35,36] took FRF estimation error and response measuring noise into account for experimental study of random dynamic loads identification based on weighted regularization method and weighted total least squares method, nevertheless, not considering the direct influence of structural random parameters.…”

Section: Introductionmentioning

confidence: 99%

Multi-source random excitation identification for stochastic structures based on matrix perturbation and modified regularization method

Zhang

2019

Mechanical Systems and Signal Processing

View full text Add to dashboard Cite

In view of the characteristic of pseudo excitation and effects of the regularization parameter  on the residual norm and solution norm, a novel modified regularization method is proposed to solve the ill-posed problem and mitigate the error propagation of random dynamic loads identification. Compared with Moore-Penrose pseudo inverse and Tikhonov regularization methods that are sensitive to the selection of measurement locations, the proposed modified regularization method can always identify the loads accurately and stably regardless of measurement locations. In addition, the identified loads always match the actual ones from low to high frequency domains using the proposed modified regularization method. Furthermore, the matrix perturbation method is combined with the modified regularization method to analyze the multisource loads acting on the uncertain structure. Several practical engineering examples are conducted to demonstrate that the lower and upper bounds of identified forces can be obtained, which clearly validates the effectiveness and feasibility of the proposed methods in the application of complicated structures.

show abstract

“…Ren et al [14] combined maximum entropy regularization with creative conjugate gradient to identify random dynamic loading. Jia et al [15] proposed a weighted regularization method based on orthogonal decomposition to alleviate the ill-posed problem in random dynamic loading identification. He et al [16] combined the modified regularization method with matrix perturbation method to identify random loads for stochastic structures.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of a Multipoint Random Dynamic Loading Identification Method Based on Weighted Average Technique

Gai¹,

Yu²

2019

Shock and Vibration

View full text Add to dashboard Cite

Most of random dynamic loading identification research studies are about the original inverse pseudoexcitation method which does not fundamentally reduce the negative effect of ill-conditioned frequency response function matrix on accuracy of loading identification. This paper describes a new improved method based on weighted average technique to reduce peak errors between identified load spectrum and the actual load spectrum near some natural frequencies. Meanwhile, relative error of root mean square value between identified load and the actual load is reduced. The introduced selection method of threshold value is innovative which is the key of weighted average technique. This improved loading identification method is successfully applied to experiments of cantilever beam and thermal protection composite plate structure. Identification results prove that the proposed method is valid by good agreement between identified power spectrum density and the actual one. Moreover, this method has higher accuracy than inverse pseudoexcitation method in low-frequency band.

show abstract

Experimental study of random dynamic loads identification based on weighted regularization method

Cited by 44 publications

References 17 publications

Random dynamic load identification based on error analysis and weighted total least squares method

Random dynamic load identification based on error analysis and weighted total least squares method

Multi-source random excitation identification for stochastic structures based on matrix perturbation and modified regularization method

Experimental Study of a Multipoint Random Dynamic Loading Identification Method Based on Weighted Average Technique

Contact Info

Product

Resources

About