Extrapolation of the dynamic stress spectrum of train bogie frame based on kernel density estimation method

Wang, Qiushi; Zhou, Jinsong; Wang, Tengfei; Gong, Dao; Sun, Yuwen; Chen, Jiangxue; You, Taiwen

doi:10.1111/ffe.13459

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…The parametric method requires the frequency and level of extrapolation, 29 while the non-parametric approach extrapolates the load by Monte Carlo simulation. 30–32 However, for the demands of the drill pipe load spectrum, none of the above extrapolation methods are applicable.…”

Section: Related Workmentioning

confidence: 99%

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

Shen,

Li,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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The load spectrum of rotary drilling rig’s drill pipe is used for drill pipe design, simulated fatigue testing, and reliability assessment. However, the proper extrapolation of the drill pipe double load is challenging, especially to meet the requirements of both load sequence and load strengthening. In this paper, an extrapolation technique for a double load of drill pipe is proposed. The time sequence rainflow counting technique is proposed to keep the torque and pressure sequence. Meanwhile, the individual distributions of the loads are accurately estimated. Finally, the torque and pressure are simulated and extrapolated by the percentile extrapolation method. The results show that the proposed extrapolation method for maintaining the load sequence enriches the dynamics and diversity of the loads while ensuring the load sequence.

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Section: Related Workmentioning

confidence: 99%

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

Shen,

Li,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

“…Based on Miner's rule, the residual strength model was established to evaluate the fatigue life of high‐speed train bearings. Wang et al 21 proposed a fatigue life evaluation method based on kernel density estimation of multivariate dynamic stress spectrum and studied bogie stress spectrum extrapolation and fatigue life evaluation. Kong et al 22 predicted fatigue life of coil springs based on the Coffin–Manson, Morrow, and Smith–Watson–Topper strain–life models by developing the hybrid multi‐layer perceptron artificial neural network.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic fatigue evaluation of the equipment cabin of high‐speed trains based on sub‐zone loading method

Xiao,

Liang,

Sun

et al. 2024

Fatigue Fract Eng Mat Struct

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The equipment cabins of high‐speed trains encountered alternating pressure loads during operation. A fatigue evaluation methodology based on sub‐zone aerodynamic loading was proposed. Theoretical model was given between pressure load at each zone and the accompanying six structural stress components. Stress recovery matrix was formulated by finite element analysis (FEA) in sub‐zone loading cases to relate the stress to the measured pressure loads. Vehicle test gathered the pressure time‐history data of cabin sub‐zones at the head car in different ambient conditions, from which the two‐dimensional stress spectrum was derived by rain‐flow counting. The fatigue damage of welds was then assessed utilizing the Miner's and Corten Dolan's rules, yielding maximum equivalent damages of 0.72 and 0.23, respectively. The structural fatigue damage under high environmental wind conditions was 1–3 times greater than in calm weather. Nonetheless, the fatigue damage incurred by the metal matrix was significantly lower, demonstrating a substantial safety margin.

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“…The kernel density estimation (KDE) approach is the most popular non-parametric method, where the measured data no longer follow a pre-assumed distribution. Dynamic stress spectrum for train bogie frame, 10 high-speed train, 11 and gearbox housings 12 were all extrapolated via the KDE method. However, the above methods and applications of KDE-based extrapolation do not carefully consider the boundary bias 13 and extremes.…”

Section: Introductionmentioning

confidence: 99%

An extrapolation framework for torque spectrum of excavator internal combustion engine via bivariate diffusion-based kernel density estimation

Shen

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The torque extrapolation of the excavator internal combustion engine (ICE) is unknown and challenging. In this paper, an extrapolation framework for ICE torque of excavator is proposed. Data pre-processing, distribution estimation, load extrapolation, and damage evaluation are included in the framework. In estimating measurements, bivariate diffusion-based kernel density estimation is used to obtain the probability density. The cumulative cycle frequency and pseudo damage are compared with the results obtained by the other extrapolation methods. The results show that the proposed method can realize reasonable extrapolation. This extrapolation process can provide a reference for other engineering equipment in cyclic operation.

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Extrapolation of the dynamic stress spectrum of train bogie frame based on kernel density estimation method

Cited by 5 publications

References 25 publications

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence

Aerodynamic fatigue evaluation of the equipment cabin of high‐speed trains based on sub‐zone loading method

An extrapolation framework for torque spectrum of excavator internal combustion engine via bivariate diffusion-based kernel density estimation

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