Study on Damage Accumulation and Life Prediction with Loads below Fatigue Limit Based on a Modified Nonlinear Model

Zhang, Mengjie; Fu, Xing; Lin, Jiewei; Liu, Zhiyuan; Liu, Nuohao; Wu, Bin

doi:10.3390/ma11112298

Cited by 24 publications

(22 citation statements)

References 40 publications

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“…Therefore, the accuracy for calculating a variable amplitude loading is doubtful. The cycle sequence contributes substantially to fatigue life, hence small cycles need not be ignored when predicting a fatigue life [ 41 , 42 , 43 , 44 ]. The results were not fully accepted and there is a need to perform experimental fatigue tests next.…”

Section: Resultsmentioning

confidence: 99%

Automotive suspension component behaviors driven on flat and rough road surfaces

Putra

Husaini

Ikbal

2021

Heliyon

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The objective of this study is to identify the behavior of the car suspension components subjected to road surface contours. Strain signals were measured by installing a strain gauge at the critical area of the coil spring and lower arm. The car was driven on a flat and rough road surface with speeds of 30-40 km/h and 10-20 km/h, respectively. According to the fatigue life assessments based on the strain-life approach, it was found that when the car was driven on the rough road, the components received higher stresses, contributing to a shorter fatigue life. The fatigue life of the coil spring when being driven on the rough road was 1,248 cycles to failure, which was more than 14 times shorter when being driven on the flat road, with 19,060 cycles to failure. Meanwhile the fatigue life of the lower arm being driven on the rough surface was 3,580 cycles to failure, which was almost 3,328 times shorter when being driven on the flat road, with 11,914,000 cycles to failure. The useful life of the coil spring was more than 625 times lower than the lower arm when driven on the flat road, whereas when driven on the rough road, the useful life of the coil spring was almost 3 times lower than the lower arm. In conclusion, the coil spring will fail more than 2 times faster than the lower arm. This is because the contour of the road surfaces provide a vertical load, directly working the coil spring which reduces the load vertically, while the lower arm functions to hold the load when turning.

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Section: Resultsmentioning

confidence: 99%

Automotive suspension component behaviors driven on flat and rough road surfaces

Putra

Husaini

Ikbal

2021

Heliyon

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“…Zhang et al [94] proposed another modified version of the model by Chaboche and Lesne [80]. In the original model, all cycles below the fatigue limit are considered damaging once D > 0.…”

Section: Models Based On the Nonlinear Continuum Damage Model Of Chabochementioning

confidence: 99%

“…As such, omitting the low amplitude cycles results in an overestimation of the fatigue life while counting all those cycles results in an overly conservative estimation (e.g., NLCD model). Zhang et al [94] introduced a strengthening function f s to account for low amplitude cycles:…”

Section: Models Based On the Nonlinear Continuum Damage Model Of Chabochementioning

confidence: 99%

“…The damage can then be calculated by multiplying Equation (40) with the strengthening function defined in Equation (45). To determine if the low amplitude cycles cause damage or induce strengthening, Zhang et al [94] additionally introduced the use of a membership function based on fuzzy logic mathematics. The model was validated to experimental data of multi-level loading including low amplitude cycles below the fatigue limit.…”

Section: Models Based On the Nonlinear Continuum Damage Model Of Chabochementioning

confidence: 99%

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Cumulative Damage and Life Prediction Models for High-Cycle Fatigue of Metals: A Review

Hectors

Waele

2021

Metals

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Fatigue design of engineering structures is typically based on lifetime calculation using a cumulative damage law. The linear damage rule by Miner is the universal standard for fatigue design even though numerous experimental studies have shown its deficiencies and possible non-conservative outcomes. In an effort to overcome these deficiencies, many nonlinear cumulative damage models and life prediction models have been developed since; however, none of them have found wide acceptance. This review article aims to provide a comprehensive overview of the state-of-the art in cumulative damage and lifetime prediction models for endurance based high-cycle fatigue design of metal structures.

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“…Xing et al presented a new method to predict bending fatigue with spatial distributions [ 3 ]. Zhang et al presented a novel damage accumulation model that takes into account amplitudes below the fatigue limit with the use of the modified Chaboche model [ 4 ]. Benasciutti et al have presented a new frequency analysis of random loading models in practice [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Application of the S-N Curve Mean Stress Correction Model in Terms of Fatigue Life Estimation for Random Torsional Loading for Selected Aluminum Alloys

et al. 2020

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The paper presents the experimental fatigue test results for cyclic constant amplitude loading conditions for the case of the torsion of the PA4 (AW-6082-T6), PA6 (AW-2017A-T4) and PA7 (AW-2024-T3) aluminum alloy for a drilled diabolo type test specimen. The tests have been performed for the stress asymmetry ratios R = −1, R = −0.7, R = −0.5 and R = −0.3. The experimental results have been used in the process of a fatigue life estimation performed for a random generated narrowband stress signal with a zero and a non-zero global mean stress value. The calculations have been performed within the time domain with the use of the rainflow cycle counting method and the Palmgren−Miner damage hypothesis. The mean stress compensation has been performed with the S-N curve mean stress model proposed by Niesłony and Böhm. The model has been modified in terms of torsional loading conditions. In order to obtain an appropriate R = 0 ratio S-N curve fatigue strength amplitude, the Smith−Watson−Topper model was used and compared with literature fatigue strength amplitudes. The presented solution extends the use of the correction model in terms of the torsional loading condition in order to obtain new S-N curves for other R values on the basis of the R = −1 results. The work includes the computational results for new fatigue curves with and without the mean stress effect correction. The results of the computations show that the mean stress effect plays a major role in the fatigue life assessment of the tested aluminum alloys and that the method can be used to assess the fatigue life under random conditions.

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Study on Damage Accumulation and Life Prediction with Loads below Fatigue Limit Based on a Modified Nonlinear Model

Cited by 24 publications

References 40 publications

Automotive suspension component behaviors driven on flat and rough road surfaces

Automotive suspension component behaviors driven on flat and rough road surfaces

Cumulative Damage and Life Prediction Models for High-Cycle Fatigue of Metals: A Review

Application of the S-N Curve Mean Stress Correction Model in Terms of Fatigue Life Estimation for Random Torsional Loading for Selected Aluminum Alloys

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