Reliability-based fatigue life of vehicle spring under random loading

Nya, Reza Manouchehry; Abdullah, Shahrum; Singh, Salvinder Singh Karam

doi:10.1108/ijsi-03-2019-0025

Cited by 33 publications

(9 citation statements)

References 15 publications

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“…Reliability assessment of the fatigue life is vital for safe operation (Manouchehrynia et al, 2019). The probabilistic nature of fatigue failure refers to the random fatigue life of a set of specimens with nominally identical geometry and dimensions subjected to cyclic loading…”

Section: Fatigue Life Prediction Of Emu Gearmentioning

confidence: 99%

Modification optimization-based fatigue life analysis and improvement of EMU gear

Zhang

Yin

et al. 2021

IJSI

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PurposeThis paper proposes an improved fatigue life analysis method for optimal design of electric multiple units (EMU) gear, which aims at defects of traditional Miner fatigue cumulative damage theory.Design/methodology/approachA fatigue life analysis method by modifying S–N curve and considering material difference is presented, which improves the fatigue life of EMU gear based on shape modification optimization. A corrected method for stress amplitude, average stress and S–N curve is proposed, which considers low stress cycle, material difference and other factors. The fatigue life prediction of EMU gear is carried out by corrected S–N curve and transient dynamic analysis. Moreover, the gear modification technology combined with intelligent optimization method is adopted to investigate the approach of fatigue life analysis and improvement.FindingsThe results show that it is more corresponded to engineering practice by using the improved fatigue life analysis method than the traditional method. The function of stress and modification amount established by response surface method meets the requirement of precision. The fatigue life of EMU gear based on the intelligent algorithm for seeking the optimal modification amount is significantly improved compared with that before the modification.Originality/valueThe traditional fatigue life analysis method does not consider the influence of working condition and material. The life prediction results by using the method proposed in this paper are more accurate and ensure the safety of the people in the EMU. At the same time, the combination of intelligent algorithm and gear modification can improve the fatigue life of gear on the basis of accurate prediction, which is of great significance to the portability of EMU maintenance.

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Section: Fatigue Life Prediction Of Emu Gearmentioning

confidence: 99%

Modification optimization-based fatigue life analysis and improvement of EMU gear

Zhang

Yin

et al. 2021

IJSI

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“…The rotor bracket, poles, yoke, and shaft are the core components of rotor components. Among them, the force of the rotor bracket is the most complicated [27][28][29]. Therefore, the rotor support with the fixed rotating shaft, magnetic yoke, and magnetic pole is the object of engineering research in this study.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework

Yuan

Xie

et al. 2022

Machines

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The turbine rotor is the key component of the turbine, which has a great impact on the construction cost and power generation efficiency of an entire hydropower station. Receiving the torque of the runner transmission and completing the specified power generation is its main function. There are many uncertain factors in the design, manufacture, and operation environment of a turbine rotor. Therefore, it is necessary to optimize the mechanism on the premise of ensuring that the mechanical system meets high reliability and high safety levels. This article uses the multidisciplinary reliability analysis and optimization method under random and interval uncertainty to quantitatively analyze the uncertainty factors, and then optimally solves the RBMDO problem of the turbine rotor mechanism. Through the finite element simulation analysis of the optimized design scheme, the rationality and feasibility of the obtained results are further verified.

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“…Moreover, there are several ways to predict the fatigue life. Nya et al 17 established the concept of fatigue reliability as a system of correlated events during service life to predict the probability of fatigue life using Coffin–Manson, Morrow and SWT models. Rajadurai et al 18 observed that composite wind turbine blades failed due to matrix compression and proposed a new set of failure criteria to predict the failure of composite wind turbine blades, which can predict the maximum shear stress region in transverse compression.…”

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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Reliability-based fatigue life of vehicle spring under random loading

Cited by 33 publications

References 15 publications

Modification optimization-based fatigue life analysis and improvement of EMU gear

Modification optimization-based fatigue life analysis and improvement of EMU gear

Multidisciplinary Collaborative Design and Optimization of Turbine Rotors Considering Aleatory and Interval Mixed Uncertainty under a SORA Framework

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

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