Mechanical parameters identification for laminated composites based on the impulse excitation technique

Song, Wenlei; Zhong, Yongteng; Xiang, Jiawei

doi:10.1016/j.compstruct.2016.12.005

Cited by 21 publications

(10 citation statements)

References 40 publications

(40 reference statements)

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“…In one of the recent publications (Wenlei Song, (2017) ), the IET was applied to identify the mechanical parameters of laminated composites, in comparison with the results obtained from FEM analysis. With acceptable variation of under 4%, the methodology served as a reference for this project (Wenlei Song, (2017) ). Another recent study that used IET in comparison with tensile test results to attain Young's modulus value, recorded a 10% mean standard deviation between the two methods (Lotfi Toubal, 2018).…”

Section: Literature Surveymentioning

confidence: 99%

Inverse Identification Of Elastic Moduli For 3D Printed PLA, Using Impulse Excitation Technique (IET)

Mohsin¹

2021

Preprint

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3D Printing has recently undergone extensive development due to its lower cost and flexibility. A number of studies have been carried out to determine 3D printed material properties. This study focuses on the determination of the dynamic properties for PLA. The PLA material is processed through the popular FDM method with three different build orientations. A vibration experiment is conducted to evaluate the first modal frequency and Young’s modulus. The results are then compared to the FEM modal analysis and finally the traditional tensile testing results. The anisotropy of the 3D printed components, mainly due to the density changes caused by voids and filament alignment, result in the variation of the Young’s modulus which is different than the homogenous bulk material. The calculated Young’s moduli values are very slightly higher than the tensile test results which is in conformance with the trend documented by earlier studies on similar printed materials using the same techniques

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Section: Literature Surveymentioning

confidence: 99%

Inverse Identification Of Elastic Moduli For 3D Printed PLA, Using Impulse Excitation Technique (IET)

Mohsin¹

2021

Preprint

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“…e seepage parameters are directly derived from field measurements. e physical and mechanical calculation parameters and seepage parameters of the rock body are shown in Table 1 [27][28][29][30]. e yield criterion applies the Mohr-Coulomb criterion.…”

Section: Engineering Surveymentioning

confidence: 99%

Numerical Simulation of Fluid-Solid Coupling in Surrounding Rock for River Stope Mining

Yuan

Chen

et al. 2020

Shock and Vibration

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Mining disturbance will induce further weakening of faults and rock bridges, improve rock mass permeability and, in serious cases, conduct surface rivers to cause disasters. A numerical calculation model of river-fault in the mining area is established. Based on the fluid-solid coupling theory of rock mass, the influence of mining disturbance on the development and evolution process of rock bridge rupture and river-fault-stope potential seepage channel is simulated and calculated. Research studies show that under the disturbance of ore body mining, it is possible to form a channel from the river to fault to seepage and drainage in the stope. The disturbance of ore body mining has no great adverse effect on the stability of the rock mass at the top of F2 fault. The rock mass damage caused by mining is only distributed in local areas, and the rock bridge between the river, fault, and stope is not completely connected. The fracture of mining rock mass leads to the increase in permeability of rock mass, and seepage tends to spread in the direction of the fault, but there is no obvious through drainage channel from surface water to the stope. The results of research provide technical guidance for the mine to use the filling mining method after the river does not change the road safety and reliability certification and can also provide reference for similar mines.

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“…e parameter λ controls the weight of the total variation term, which significantly influences the denoising effects of the signatures. Over the years, scholars have also conducted some research on parameter detection and identification [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Research on Rolling Bearing Fault Diagnosis Using Improved Majorization-Minimization-Based Total Variation and Empirical Wavelet Transform

Chen

et al. 2020

Shock and Vibration

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Bearings are among the most widely used core components in mechanical equipment. Their failure creates the potential for serious accidents and economic losses. Vibration signature analyses are the most common approach to assess the viability of bearings due to its ease of measurement and high correlation with structural dynamics. However, the collected vibration signals of rolling bearings are usually nonstationary and are inevitably accompanied by noise interference. This makes it difficult to extract the feature frequency for the failed bearing and affects the diagnosis accuracy. The majorization-minimization-based total variation (TV-MM) denoising algorithm effectively removes the noise interference from the signal and highlights the related feature information. The value of its main parameter λ determines the quality of the denoising effect. However, manually selecting parameters requires professional experience in a process that it is time-consuming and laborious, while the use of genetic algorithms is cumbersome. Therefore, an improved particle swarm algorithm (IPSO) is used to find the optimal solution of λ. The IPSO utilises the mutation concept in genetic algorithms to reinitialise the particles with a certain probability after each update. In addition, the empirical wavelet transform (EWT) is an adaptive signal processing method suitable for processing nonlinear and nonstationary signals. Therefore, this paper presents an ensemble analysis method that combines the IPSO, TV-MM, and EWT. First, IPSO is used to optimise the denoising parameter λ. The TV-MM under this parameter effectively removes the background noise interference and improves the accuracy of the subsequent modal decomposition. Then, the EWT is used for the adaptive division to produce a set of sequences. Finally, Hilbert envelope demodulation is performed on each component to realise fault diagnosis. The results from simulations and signals received from defective bearings with outer race fault, inner race fault, and rolling element fault demonstrate the effectiveness of the proposed method for fault diagnosis of rolling bearings.

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Mechanical parameters identification for laminated composites based on the impulse excitation technique

Cited by 21 publications

References 40 publications

Inverse Identification Of Elastic Moduli For 3D Printed PLA, Using Impulse Excitation Technique (IET)

Inverse Identification Of Elastic Moduli For 3D Printed PLA, Using Impulse Excitation Technique (IET)

Numerical Simulation of Fluid-Solid Coupling in Surrounding Rock for River Stope Mining

Research on Rolling Bearing Fault Diagnosis Using Improved Majorization-Minimization-Based Total Variation and Empirical Wavelet Transform

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