Fatigue Life Prediction Using Simplified Endurance Function Model

Joint Authors

Sani, M. S. M.
Rahman, M. M.

Source

Advances in Mechanical Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-12-09

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mechanical Engineering

Abstract EN

A methodology is proposed to apply an endurance function model with a genetic algorithm to estimate the fatigue life of notched or smooth components.

The endurance function model is based on stress tensor invariants and deviatoric stress invariants.

In the proposed methodology, FEA is used to simplify the application of the endurance function model.

Experimental results from published literature are considered for the case studies to evaluate the proposed methodology.

The results show that the proposed methodology simplified the application of the endurance function model, particularly by reducing the need for notch sensitivity factors, and the stress invariants can be calculated directly from the stresses at the critical point.

The comparison with experimental results shows that, with proper calibration, the model can predict fatigue life accurately.

American Psychological Association (APA)

Kamal, M.& Rahman, M. M.& Sani, M. S. M.. 2013. Fatigue Life Prediction Using Simplified Endurance Function Model. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-482533

Modern Language Association (MLA)

Rahman, M. M.…[et al.]. Fatigue Life Prediction Using Simplified Endurance Function Model. Advances in Mechanical Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-482533

American Medical Association (AMA)

Kamal, M.& Rahman, M. M.& Sani, M. S. M.. Fatigue Life Prediction Using Simplified Endurance Function Model. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-482533

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-482533