Non Linear Viscoelastic Constitutive Relation of Elastomers for Hysteresis Behavior

Yoo, Sairom; Ju, Jaehyung; Choi, Seok-Ju; Kim, Dooman

doi:10.3795/ksme-a.2016.40.4.353

Cited by 3 publications

(12 citation statements)

References 14 publications

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“…The growth of hysteresis loss at rising strain rates can also be predicted by the Zhi et al 44 model, the Yoo et al 43 model, and the Liu and Hoo Fatt 24 model. Nevertheless, the prediction accuracy of hysteresis loss in these models was not as high as that in the HLSRT model.…”

Section: Dorfmann Andmentioning

confidence: 85%

“…For instance, the Zhi et al 44 model overestimated the hysteresis loss of tread compounds at strain levels of over 60%, and the overestimation increased with a rise of strain levels and reached the maximum value of 16.1% at the 100% strain level. On the other hand, the Yoo et al 43 model and the Liu and Hoo Fatt 24 model provided an underestimation for hysteresis loss values when the strain levels exceeded 40%, and this underestimation was magnified by 17.5% on average when the strain level was raised up to 100%. The Yoo et al 43 model and the Liu and Hoo Table 6.…”

Section: Prediction Of Hysteresis Loss Under Different Operating Cond...mentioning

confidence: 93%

“…On the other hand, the Yoo et al 43 model and the Liu and Hoo Fatt 24 model provided an underestimation for hysteresis loss values when the strain levels exceeded 40%, and this underestimation was magnified by 17.5% on average when the strain level was raised up to 100%. The Yoo et al 43 model and the Liu and Hoo Table 6. A summary of selected phenomenological models for predicting hysteresis loss (in kJ/m 3 ).…”

Section: Prediction Of Hysteresis Loss Under Different Operating Cond...mentioning

confidence: 93%

“…In addition, it is of note that the variations of hysteresis loss with rubber temperatures were not identified by the Yoo et al 43 model, the Dorfmann and Ogden 34 model, the Li et al 32 model, the Luo et al 14 model, or the Liu and Hoo Fatt 24 model. In these five models, since there is no rubber-temperature-dependent coefficient, the effects of rubber temperatures on the hysteresis loss cannot be reflected.…”

Section: Dorfmann Andmentioning

confidence: 96%

“…H is the hysteresis loss (in kJ/m 3 ); e is the strain (in m/m); _ e is the strain rate (in s 21 ); a, b, c, and d are the material constants Yoo et al 43…”

Section: Dorfmann Andmentioning

confidence: 99%

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A novel phenomenological model for predicting hysteresis loss of rubber compounds obtained from ultra-large off-the-road tires

Obaia

Moon

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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The objective of this study was to develop a novel phenomenological model that can predict the hysteresis loss of rubber compounds obtained from ultra-large off-the-road (OTR) tires under typical operating conditions at mine sites. To achieve this, first, cyclic tensile tests were conducted on tire tread compounds to derive the experimental results of hysteresis curves, peak stress, residual strain, and hysteresis loss at 6 strain levels, 8 strain rates, and 14 rubber temperatures. Then, referring to these experimental results, a phenomenological model was developed – the HLSRT model (a hysteresis loss model considering strain levels, strain rates, and rubber temperatures). This HLSRT model was generated based on a novel strain energy function that was modified from the traditional Mooney-Rivlin (MR) function, and the model was used to predict the hysteresis loss of rubber compounds in OTR tires. The prediction results show that the HLSRT model estimated the hysteresis loss of tire tread compounds with average and maximum mean absolute percent errors (MAPEs) of 11.2% and 18.6%, respectively, at strain levels ranging from 10% to 100%, strain rates from 10% to 500% s−1, and rubber temperatures from −30°C to 100°C. These MAPEs were relatively low when compared with previous studies, showing that the HLSRT model has higher prediction accuracy. For the first time, the HLSRT model derived from this study has provided a new approach to predicting the hysteresis loss of OTR tire rubbers to guide the use of OTR tires in truck haulage at mine sites.

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Section: Dorfmann Andmentioning

confidence: 85%

Section: Prediction Of Hysteresis Loss Under Different Operating Cond...mentioning

confidence: 93%

Section: Prediction Of Hysteresis Loss Under Different Operating Cond...mentioning

confidence: 93%

Section: Dorfmann Andmentioning

confidence: 96%

“…H is the hysteresis loss (in kJ/m 3 ); e is the strain (in m/m); _ e is the strain rate (in s 21 ); a, b, c, and d are the material constants Yoo et al 43…”

Section: Dorfmann Andmentioning

confidence: 99%

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