Prediction of Fatigue Life of Structural Steel S355-J2G3 with SK Critical Plane Model

2018 ◽  
Vol 774 ◽  
pp. 504-509
Author(s):  
A.S. Cruces ◽  
Pablo Lopez-Crespo ◽  
S. Sandip ◽  
Belen Moreno
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
High Cycle Fatigue ◽  
Multiaxial Fatigue ◽  
Stress Effect ◽  
Critical Plane ◽  
Plane Model ◽  
Data Set ◽  
Proposed Model ◽  
Prediction Capability

The present work assesses the fatigue life prediction capability of a recently proposed critical plane model. For this study, multiaxial fatigue data of S355-J2G3 steel were used; in-phase and 90o out-of-phase sinusoidal axial-torsional straining from 103 to 106 cycles, so it was possible to evaluate the model at low and high cycle fatigue, as well as the hardening effect. The damage parameters considered in this paper include the effect of hardening, mean shear stress effect and the effect due to interaction of shear and normal stress on the critical plane. A comparative evaluation of well accepted models (Wang-Brown, Fatemi-Socie and Liu 1 and 2) with the new recently proposed model (Suman-Kallmeyer) is done. The ability of the different models to predict the fatigue life for large and diverse load data set are discussed.

scholarly journals Multiaxial Fatigue Life Prediction on S355 Structural and Offshore Steel Using the SKS Critical Plane Model

Metals ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 1060 ◽  
Author(s):  
Alejandro Cruces ◽  
Pablo Lopez-Crespo ◽  
Belen Moreno ◽  
Fernando Antunes
Keyword(s):  
Life Prediction ◽  
High Cycle Fatigue ◽  
Low Cycle Fatigue ◽  
Damage Parameter ◽  
Multiaxial Fatigue ◽  
Cycle Fatigue ◽  
Critical Plane ◽  
Plane Model ◽  
Fatigue Data ◽  
Different Types

This work analyses the prediction capabilities of a recently developed critical plane model, called the SKS method. The study uses multiaxial fatigue data for S355-J2G3 steel, with in-phase and 90° out-of-phase sinusoidal axial-torsional straining in both the low cycle fatigue and high cycle fatigue ranges. The SKS damage parameter includes the effect of hardening, mean shear stress and the interaction between shear and normal stress on the critical plane. The collapse and the prediction capabilities of the SKS critical plane damage parameter are compared to well-established critical plane models, namely Wang-Brown, Fatemi-Socie, Liu I and Liu II models. The differences between models are discussed in detail from the basis of the methodology and the life results. The collapse capacity of the SKS damage parameter presents the best results. The SKS model produced the second-best results for the different types of multiaxial loads studied.

Critical plane–based multiaxial fatigue life prediction of turbine disk alloys by refining normal stress sensitivity

2018 ◽  
Vol 53 (8) ◽  
pp. 719-729 ◽  
Author(s):  
Shen Xu ◽  
Shun-Peng Zhu ◽  
Yong-Zhen Hao ◽  
Ding Liao
Keyword(s):  
Fatigue Life ◽  
Normal Stress ◽  
Life Prediction ◽  
Stress Sensitivity ◽  
Damage Parameter ◽  
Turbine Disk ◽  
Multiaxial Fatigue ◽  
Critical Plane ◽  
Additional Material ◽  
Proposed Model

For engineering components subjected to complex multiaxial loadings, critical plane approaches like Fatemi–Socie criterion have been commonly utilized for life prediction of these components. Within the Fatemi–Socie criterion, the normal stress sensitivity parameter k is usually fitted from additional experimental data, which introduces inconvenience for practice especially under limited testing data conditions. In this regard, a simple critical plane–based damage parameter is put forward with no additional material constants, which attempts to provide a robust method for multiaxial fatigue analysis of turbine disk alloys. Using experimental datasets of TC4 and GH4169 alloys under different loadings, the proposed model provides better correlations with fatigue life of the two alloys than the models of Smith–Watson–Topper and Wang–Brown.

scholarly journals A sectional critical plane model for multiaxial high-cycle fatigue life prediction

2020 ◽  
Author(s):  
Xinxin Qi ◽  
Tianqi Liu ◽  
Xinhong Shi ◽  
Jiaying Wang ◽  
Jianyu Zhang ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
High Cycle Fatigue ◽  
Fatigue Life Prediction ◽  
Cycle Fatigue ◽  
Critical Plane ◽  
Plane Model

scholarly journals A New Multiparameter Model for Multiaxial Fatigue Life Prediction of Rubber Materials

Polymers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1194
Author(s):  
Rafael Tobajas ◽  
Daniel Elduque ◽  
Elena Ibarz ◽  
Carlos Javierre ◽  
Luis Gracia
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Experimental Testing ◽  
Experimental Tests ◽  
Relevant Information ◽  
Fatigue Tests ◽  
Multiaxial Fatigue ◽  
Fatigue Life Prediction ◽  
Proposed Model ◽  
Predicted Values

Most of the mechanical components manufactured in rubber materials experience fluctuating loads, which cause material fatigue, significantly reducing their life. Different models have been used to approach this problem. However, most of them just provide life prediction only valid for each of the specific studied material and type of specimen used for the experimental testing. This work focuses on the development of a new generalized model of multiaxial fatigue for rubber materials, introducing a multiparameter variable to improve fatigue life prediction by considering simultaneously relevant information concerning stresses, strains, and strain energies. The model is verified through its correlation with several published fatigue tests for different rubber materials. The proposed model has been compared with more than 20 different parameters used in the specialized literature, calculating the value of the R2 coefficient by comparing the predicted values of every model, with the experimental ones. The obtained results show a significant improvement in the fatigue life prediction. The proposed model does not aim to be a universal and definitive approach for elastomer fatigue, but it provides a reliable general tool that can be used for processing data obtained from experimental tests carried out under different conditions.

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