Hilbert-Huang Transform (HHT) transient analysis of composite panel undergoing high-velocity impact

Lee, Seung Kyu; Kim, Young Kook; Koo, Man Hoi; Gimm, Hak In; Yoo, Hong Hee

doi:10.1007/s12206-010-0912-4

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…IMF components could be extracted by EMD decomposition. e original vibration signal is composed of n-order IMF components and residuals after decomposition [20,21]. For the Hilbert spectrum analysis, it is to transform the Hilbert spectrum with a finite number of IMF components obtained by EMD so as to obtain the distribution spectrum of energy in the time-frequency plane, namely, the Hilbert spectrum.…”

Section: Introductionmentioning

confidence: 99%

Blasting Vibration Signal Transform in Geotechnical Engineering Applied HHT and S Transform for Time-Frequency Analysis

Man

Song

Liu

et al. 2022

Shock and Vibration

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Based on the same blasting vibration signal, the S transform and HHT method have been applied for the time and frequency analysis. Both the S transform and HHT method are analyzed and compared from the point of decomposition path and analysis function. It expressed that these two methods are complete and effective and have the characteristics of adaptive multiresolution. Especially, the time resolution of the HHT method is invariable and its accuracy is high. Moreover, its frequency resolution can be adaptively adjusted with the inherent characteristics of the signal. However, the time and frequency resolution of the S transform are limited by the uncertainty principle, and the resolution improvement is at the cost of reducing the resolution of another. Furthermore, the HHT method has much more adaptability and is superior to S transform in the analysis of nonstationary signals. In advance, the waveform curve and power spectral density of each detonator are extracted, which indicates that it is not scientific to use different segment detonators for the same circle of the auxiliary hole. Under the premise of the same charge quantity, the vibration energy peak value produced by the same segment detonator is less than that of several segments of detonators. Therefore, it is believed that the HHT method has broad application prospects in the study of wave propagation, attenuation law, structural dynamic response characteristics, and blasting vibration damage in rocks.

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Section: Introductionmentioning

confidence: 99%

Blasting Vibration Signal Transform in Geotechnical Engineering Applied HHT and S Transform for Time-Frequency Analysis

Man

Song

Liu

et al. 2022

Shock and Vibration

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“…Yang [15] used an adaptive band-pass filter with HHT, and Li et al [16] analysed the energy spectrum of a blast wave by combining HHT with WPM. In the time-frequency analysis, Lee et al [17] studied the transient characteristics from a high-velocity impact simulation of the composite panel using HHT and Zhang et al [18] employed HHT to examine the failure mechanism of 3-D braided composites under low-velocity impact.…”

Section: Introductionmentioning

confidence: 99%

Numerical impact strain response of multi-layered steel–aluminium plate using signal processing

Abdullah

Zulkefli

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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This paper investigates the impact strain response resulting from the numerical Charpy impact test of double-and triplelayered steel-aluminium plate employing time-frequency analysis. The potential of the laminated steel-aluminium plate in weight reduction is evaluated using a single-layered specimen as a reference. The signal processing technique in the time-frequency domain is capable of revealing the behaviour and strength of the laminated plate. The time domain signal from the numerical Charpy impact test is transformed into the frequency domain using the power spectrum density and time-frequency domain by the Hilbert-Huang spectrum. The relationship of strain energy from the finite element method and the power spectrum density showed the R 2 value of 0.8899, indicating that the power spectrum density can be used as an alternative in calculating the strain energy. In this study, the frequency distribution in the power spectrum density was compared with the Hilbert-Huang spectrum. The triple-layered specimen was found to show better performance with 23% higher maximum strain and 11% more strain energy to fracture, compared to the double-layered specimen. Therefore, the analysis in both frequency and time-frequency domains provide a better understanding of the impact behaviour of the double-and triple-layered plate.

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“…Yan and Baliktsis adopted neural network to predict attenuation law of blasting vibration [8,9], but energy information carried by signals of blasting vibration cannot be profoundly analyzed; Hilbert-Huang signal processing put forward by Huang is considered as a breakthrough of linear and steady-state spectrum analysis based on Fourier transform and one of the newest time frequency local analysis methods recognized internationally [10][11][12][13][14]; Zhang and Li used HHT application for analysis of blasting vibration signals, finding that HHT can be effectively employed to extract information in blasting vibration signals [15]; Gong et al analyzed similarities and differences between empirical mode decomposition and wavelet decomposition; characteristics of original signals can be better analyzed [16].…”

Section: Introductionmentioning

confidence: 99%

Blasting Vibration Generated by Breaking-Blasting Large Barriers with EBBLB

Wang

Ting

et al. 2016

Shock and Vibration

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Equipment for breaking and blasting large barriers (EBBLB) is new break-blast equipment, which inevitably induces ground vibration and may cause substantial damage to rock mass and nearby structures as well as human beings. The ground vibration induced by break-blast is one of the inevitable outcomes. By monitoring vibration at measuring points at different distances from blasting center, time history curve of vibrating velocity can be obtained; it can be drawn that blasting seismic waves are generated mainly from the explosion of the precharge. Furthermore, different approaches have been adopted to fit relationship between particle peak velocity (PPV) and distance from blasting center, comparative analysis of which provides the most appropriate relation expression to predict attenuation of PPV of vibration with distance from blasting center. The relation between vibration frequency and distance from blasting center is obtained by Fourier transform. And the research decomposes vibrating signals in vertical direction of different distances from blasting center with Hilbert-Huang Transform (HHT), extracting information of empirical mode components of blasting vibration signals; thus vibrating signals are contracted by spectrum information and energy information, three-dimensional energy, and energy attenuation of vibration with different distances from blasting center. The study can predict ground vibration generated by EBBLB and assess its damaging effects of blasting vibration for security and protection.

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Hilbert-Huang Transform (HHT) transient analysis of composite panel undergoing high-velocity impact

Cited by 8 publications

References 16 publications

Blasting Vibration Signal Transform in Geotechnical Engineering Applied HHT and S Transform for Time-Frequency Analysis

Blasting Vibration Signal Transform in Geotechnical Engineering Applied HHT and S Transform for Time-Frequency Analysis

Numerical impact strain response of multi-layered steel–aluminium plate using signal processing

Blasting Vibration Generated by Breaking-Blasting Large Barriers with EBBLB

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