Multi-axial load spectrum extrapolation method for fatigue durability of special vehicles based on extreme value theory

Zheng, Guofeng; Liao, Yunlai; Chen, Baixian; Zhao, Shuen; Wei, Hanbing

doi:10.1016/j.ijfatigue.2023.108014

Cited by 3 publications

(4 citation statements)

References 29 publications

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“…Advanced load spectrum extrapolation methods emphasize the integration of load extrapolation with sophisticated preprocessing techniques and simulation-based or datadriven approaches for load extrapolation. Zhang et al [15] determined the optimal threshold for extreme value extrapolation based on gray correlation. Shangguan et al [16] used the wavelet transform to process the measured loads, preserving most of the damage while making it possible to reduce the length of the time series.…”

Section: Advanced Load Extrapolation Methodsmentioning

confidence: 99%

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A Novel Load Extrapolation Method for Multiple Non-Stationary Loads on the Drill Pipe of a Rotary Rig

Wang,

Zhang,

Zhang

et al. 2024

Machines

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The drill pipe of a rotary rig is subject to the dynamic influence of non-stationary loads, including rotation torque and applied force. In order to address the challenge of simultaneously extrapolating multiple non-stationary loads, a novel extrapolation framework is proposed. This framework utilizes rainflow counting to obtain mean and amplitude sequences of the loads. The extreme values of the amplitude sequence are fitted using the Generalized Pareto Distribution (GPD), while the median values are fitted using the Double Kernel Density Estimation (DKDE). By extrapolating the Inverse Cumulative Distribution Function (ICDF) based on the fitted distribution, a new amplitude sequence can be derived. The combination of this extrapolated amplitude sequence with the original mean sequence forms a new load spectrum. The results of applying the proposed extrapolation method to the drill pipe of a rotary rig demonstrate the ability of the method to yield conservative extrapolation results and accurately capture the variations in damage under the original working conditions.

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Section: Advanced Load Extrapolation Methodsmentioning

confidence: 99%

“…The inverse cumulative distribution function (ICDF) of the GPD can be used for stochastic extrapolation of the extremes [15].…”

Section: Load Extrapolationmentioning

confidence: 99%

A Novel Load Extrapolation Method for Multiple Non-Stationary Loads on the Drill Pipe of a Rotary Rig

Wang,

Zhang,

Zhang

et al. 2024

Machines

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“…In addition, the extreme value distribution was proposed by [21,22] to identify the fatigue indicator of crack growth of microstructures and model the reliability-based method to statistically define a detection of damage for beam structure in real and simulated data in the time and frequency domains [23]. Zheng et al [24] used extreme value theory based on a multi-axial load spectrum in fatigue analysis on special vehicle component. Wang et al [25] also Gumbel distribution to calculate fatigue damage of vehicle components, and resulting has a best fit for extreme loads.…”

Section: Introductionmentioning

confidence: 99%

Strain-based running-reliability characterisation in time-domain for risk monitoring under various load conditions

Karam Singh,

Abdullah,

Abdullah

et al. 2024

Eksploatacja i Niezawodność – Maintenance and Reliability

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This aim of this paper is to characterise the strain-based fatigue life data in time-domain using the newly modelled running-reliability technique that considers the load sequence effect. Current established conventional strain life models do not consider dependence for fatigue life of low or high amplitudes, on which with occur first in the load history. Finite element analysis is carried out to ensure the strain signals are captured at the most critical region during road test at various conditions. Fatigue life of 2.74 × 104 to 6.07 × 105 cycle/block with mean cycle to failure of 4.32 × 106 to 7.00 × 106 cycle/block is predicted based on the cycle sequence effect using cycle-counting method. The newly modelled running-reliability technique is formulated to extract the features of high amplitude excitation obtained from the strain signals for characterising the fatigue reliability features under load sequence effect. Hence, the reliability-hazard relationship for fatigue reliability characterisation of strain-based approach in time-domain using running-reliability technique.

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“…The wheel wear will deteriorate the dynamic performance of intercity EMUs, and affect the operation safety, components fatigue and operation economy. 5–9 Therefore, it is necessary to design the wheel profile of intercity EMUs to improve dynamic performance and reduce wear.…”

Section: Introductionmentioning

confidence: 99%

Wheel profile optimization for intercity EMUs based on the Gaussian function correction method

Hou,

Qi,

Chi

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part F:

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Intercity EMUs are prone to wheel flange wear and tread wear due to the high operating speed and many small radius curved tracks. The problems caused by wheel wear have seriously affected the safety of high-speed railway operations in China. In this paper, based on the original LMA wheel profile, the Gaussian function correction (GFC) method is proposed to design the wheel profile. The GFC method mainly changes the root region of the wheel flange, to enhance the curve passing performance and reduce wheel wear of the vehicle. The optimal profile is optimized by the Kriging surrogate model (KSM) and the whale optimization algorithm (WOA). The wheel-rail contact characteristics, dynamic characteristics and the wheel wear of the wheel profiles before and after optimization are simulated and analyzed. The results show that the equivalent conicity of the optimized profile is reduced; the critical speed is increased by 9.3 km/h, the lateral ride index and comfort index of the vehicle are further reduced. The curve passing performance is also improved, the wheel-rail wear of the optimized profile is further reduced and the maximum wear depth of the wheels before and after optimization is 43.4e-9m and 34.1e-9m on the curved track with a radius of 500m, which is reduced by 21.43%. This method provides a reference and basis for wheel profile design and profile re-profiling of intercity EMUs.

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Multi-axial load spectrum extrapolation method for fatigue durability of special vehicles based on extreme value theory

Cited by 3 publications

References 29 publications

A Novel Load Extrapolation Method for Multiple Non-Stationary Loads on the Drill Pipe of a Rotary Rig

A Novel Load Extrapolation Method for Multiple Non-Stationary Loads on the Drill Pipe of a Rotary Rig

Strain-based running-reliability characterisation in time-domain for risk monitoring under various load conditions

Wheel profile optimization for intercity EMUs based on the Gaussian function correction method

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