A modification of Morrow and Smith-Watson-Topper mean stress correction models

Ince, Ayhan; Glinka, G.

doi:10.1111/j.1460-2695.2011.01577.x

Cited by 256 publications

(146 citation statements)

References 12 publications

Supporting

Mentioning

126

Contrasting

Order By: Relevance

“…The results of the fatigue damage values as shown previously in Table 1 are very close to each other. Nevertheless, the Morrow model has been suggested to provide better life prediction for signals comprised mostly of compression data [19,20]. In general, SAESus gives the highest damage compared to SExp.…”

Section: Resultsmentioning

confidence: 99%

Damaging fatigue cycles determination for random service loadings using mixed Weibull analysis

Mahmud¹,

Abdullah²,

Yunoh³

et al. 2016

Int. J. Automot. Mech. Eng.

View full text Add to dashboard Cite

This paper investigates the fatigue damage behaviour of random service loading histories and suggests a criterion to determine fatigue damaging cycles by using probability values. The rainflow strain range distribution is often used in fatigue damage prediction. The existence of very small amplitude of cycles that do not significantly contribute to damage makes the prediction process unnecessarily complex. Therefore, a criterion to determine the size of damaging cycles that contribute significantly to total damage values is desired. In this study, two datasets were compared, i.e. the standard SAE road profile for the suspension system and an experimental data recorded using a strain gauge installed on a vehicle component. Fatigue damage was determined using the Coffin-Manson, Morrow and Smith-Watson-Topper models. The distribution of strain ranges was identified by distribution fitting process. The relation between strain range magnitude and RMS values was explored using the probability of damage occurrence values. The results show that both sets of strain histories data fit well to a mixed Weibull distribution with n subpopulations. The probability of damage occurrence values obtained were very high, i.e. 0.9362 and 0.9987, indicating very high chances of damage incurred by these damaging cycles. Therefore, 2 RMS values is suggested as a criterion for damaging cycles determination.

show abstract

Section: Resultsmentioning

confidence: 99%

Damaging fatigue cycles determination for random service loadings using mixed Weibull analysis

Mahmud¹,

Abdullah²,

Yunoh³

et al. 2016

Int. J. Automot. Mech. Eng.

View full text Add to dashboard Cite

show abstract

“…Smith, Watson [27], revisited by Ince and Glinka [28], proposed a fatigue model for materials that primarily fail by crack growth on the planes of maximum tensile strain and stress. The proposed relationship includes both the cyclic strain range and the maximum stress expressed in Eq.…”

Section: Methodsmentioning

confidence: 99%

An Integrated Approach for Fatigue Life Estimation Based on Continuum Mechanics Theory and Genetic Algorithm

Kamal¹,

Rahman²

2015

Int. J. Automot. Mech. Eng.

View full text Add to dashboard Cite

This paper presents the performance analysis of a newly proposed fatigue estimation model. Research for fatigue estimation methods is focused on developing the capability to handle complex multiaxial loading conditions. This study focuses on an attempt to develop a new fatigue life estimation model using the concepts of continuum mechanics with a critical plane based approach. A genetic algorithm is utilized to estimate the coefficients of stress and strain components. Experimental data for fatigue lives for EN3B steel alloy for in-phase and out-of-phase loading conditions are used to calibrate and analyze the accuracy of the proposed model. Finite element analysis is used to determine an experimental fatigue life of EN3B steel alloy published in literature for validation. The proposed model is easy to implement and does not require the determination of new material constants and material properties. Fatigue life prediction from the proposed model shows good agreement with published results for in-phase and out-of-phase multiaxial loading.

show abstract

“…Several mathematical models firstly developed to predict metallic materials and composites during load-recovery cycles such as Coffin-Manson, Smith-Watson-Topper (SWT) or Morrow models (Ince and Glinka, 2011). Coffin-Manson model is based on the plastic strain range measured by subtracting the elastic strain range from the total strain range from the middle of the mechanical hysterics loop ( ), while SWT model assumes that the fatigue life cycle for any situation of mean stress depends on the product of the maximum stress ( ) and (Bourago et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Fatigue prediction in fibrin poly-ε-caprolactone macroporous scaffolds

Panadero

Vikingsson

Ribelles

et al. 2013

Journal of the Mechanical Behavior of Biomedical Materials

View full text Add to dashboard Cite

Tissue engineering applications rely on scaffolds that during its service life, either for in-vivo or in vitro applications, are under mechanical solicitations. The variation of the mechanical condition of the scaffold is strongly relevant for cell culture and has been scarcely addressed.Fatigue life cycle of poly-ε-caprolactone, PCL, scaffolds with and without fibrin as filler of the pore structure were characterized both dry and immersed in liquid water. It is observed that the there is a strong increase from 100 to 500 in the number of loading cycles before collapse in the samples tested in immersed conditions due to the more uniform stress distributions within the samples, the fibrin loading playing a minor role in the mechanical performance of the scaffolds.

show abstract

A modification of Morrow and Smith-Watson-Topper mean stress correction models

Cited by 256 publications

References 12 publications

Damaging fatigue cycles determination for random service loadings using mixed Weibull analysis

Damaging fatigue cycles determination for random service loadings using mixed Weibull analysis

An Integrated Approach for Fatigue Life Estimation Based on Continuum Mechanics Theory and Genetic Algorithm

Fatigue prediction in fibrin poly-ε-caprolactone macroporous scaffolds

Contact Info

Product

Resources

About