An improved damage model using the construction technology of virtual load spectrum and its statistical analysis

Ye, N.H.; He, Yong; Deng, Xi; Cheng, Chih-Min

doi:10.1111/ffe.12809

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…The gearbox is an important component of the tracked vehicle transmission system. The study of the kinetics of the gearbox is of great significance to the reliability study of the entire tracked vehicle transmission system [1,2]. Due to the characteristics of the large gearbox transmission ratio, multiple gears, complicated working conditions, and large transmission load of tracked vehicle gearboxes, it is quite problematic to predict and analyze the failures of the components in the gearbox by theoretical and experimental methods [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Research of Fatigue Life Prediction for Optimization of the Gearbox Design Based on MSC.Patran

Zhang

Wang

et al. 2021

Strength Mater

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The gearbox is designed with the static strength design theory. However, it cannot accurately reflect the dynamic characteristics of its components under different task conditions, and the limitations of traditional measuring methods and testing means, make it very difficult to study the reliability and life prediction of the components of the gearbox at random loads, resulting in a large gap between the actual and design lives, which seriously affects the gearbox reliability. The multibody kinetics simulation method is used to simulate the gearbox kinetics in different gears of a test site, and the alternating load of the gearbox main shaft is obtained. Based on MSC.Patran software, the fatigue life prediction for the gearbox is investigated; the optimal design of gearbox gears is studied to provide important data for improving the gearbox reliability.

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Section: Introductionmentioning

confidence: 99%

Research of Fatigue Life Prediction for Optimization of the Gearbox Design Based on MSC.Patran

Zhang

Wang

et al. 2021

Strength Mater

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“…Finally, the fatigue life of the reducer was predicted by the programmed load spectrum compiled in this paper. The results show that the load spectrum compilation method developed in this paper for hybrid electric vehicles (HEVs) is reliable and can be used as a good reference for the fatigue life prediction of other key components in hybrid electric vehicles [35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 88%

Load Spectrum Compilation Method of Hybrid Electric Vehicle Reducers Based on Multi-Criteria Decision Making

Han

et al. 2022

Energies

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This article proposes a method for compiling the load spectra of reducers for hybrid electric vehicles. Selecting typical working conditions for real vehicle data collection, the load data under each typical working condition were divided into five categories according to the state of the power source and the data were preprocessed. The optimal sample loads for compiling load spectra were obtained based on a multi-criteria decision-making method, rainflow counting for optimal sample loads was performed according to different power source output patterns, non-parametric extrapolation was performed to obtain the full-life two-dimensional load spectrum after dimensionality reduction, and a full-life eight-level programmed load spectrum that could be used for bench tests was obtained. Using the programmed load spectrum and the extracted sample load as the load input, a fatigue life prediction simulation of the reducer gear of a hybrid electric vehicle was carried out. The reducer gear fatigue life from the programmed load spectrum was compared to the gear fatigue life under actual load. The fatigue life of the reducer gear when the programmed load spectrum was used as the input was 1.412 × 103. When the actual load was used as the input load, the fatigue life of the reducer gear was 1.933 × 103. The relative error between the two is only 26%, which is in the normal range. The results show that the programmed load spectrum is effective and reliable and that the load spectrum compilation method provides a basis for accurately evaluating the reliability of the hybrid electric vehicle reducer.

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“…And then the load value is determined according to the proportion of each load segment, so that the load value of each segmentation point is nonlinearly arranged, that is, nonlinear partition VLS. The virtual frequency of load working stress can be improved by the application of construction technology of VLS, and the fatigue life can be predicted more accurately 32 …”

Section: The Hypothesis Of Virtual Load Spectrum Based On Golden Section Methodsmentioning

confidence: 99%

“…Araújo 31 can accurately estimate the fretting fatigue life in high cycle states by using the critical plane criterion and the critical distance varying with life, but the calculation cost is very high. Recently, Ye 32 has developed an improved damage model based on virtual load spectrum (VLS). The linear interpolation method is applied to the virtual load spectrum technique to subdivide the loads.…”

Section: Introductionmentioning

confidence: 99%

An improved fatigue damage model based on the virtual load spectrum of golden section method

Liu

et al. 2021

Fatigue Fract Eng Mat Struct

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This paper presents an improved damage model based on the construction technology of nonlinear partition virtual load spectrum by golden section method which is closer to the actual condition. In contrast to the Palmgren–Miner classical model, the result of fatigue life is more accurate. The improved damage model uses reliability instead of cumulative fatigue damage as the fatigue failure criterion. The objectives in this paper include verifying the convergence of the improved model and analyzing the influence of key parameters on fatigue life. The correction coefficient of the key parameters outperforms the traditional model which ignores the effect of stress sequence on fatigue. The fatigue life of several typical models and improved model is calculated and compared with the experimental results. It is shown that the improved model has higher accuracy and safety.

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An improved damage model using the construction technology of virtual load spectrum and its statistical analysis

Cited by 7 publications

References 32 publications

Research of Fatigue Life Prediction for Optimization of the Gearbox Design Based on MSC.Patran

Research of Fatigue Life Prediction for Optimization of the Gearbox Design Based on MSC.Patran

Load Spectrum Compilation Method of Hybrid Electric Vehicle Reducers Based on Multi-Criteria Decision Making

An improved fatigue damage model based on the virtual load spectrum of golden section method

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