Fatigue Strength Estimation Based on the Maximum Likelihood Method

DOI

10.2991/978-94-6463-318-4_8How to use a DOI?

Keywords

Fatigue strength; Maximum likelihood estimation; S-N curve

Abstract

Fatigue strength is one of the core principles for designing mechanical components. It has been a constant concern for engineers, as mechanical failure occurs due to loading exceeding the fatigue strength. This concern has led to a necessity to develop new approaches to estimate the reliability of mechanical components. The conventional method that is used to test fatigue strength is the staircase method. However, the staircase method’s ability to calculate fatigue strength is potentially unreliable. The bias and scatter associated with fatigue testing shows the limitations of fatigue strength estimation when the staircase approach is used. The conventional methods of fatigue limit determination also have key flaws, in that they are subjective, time consuming, and costly. This research aims to develop a method that would reliably estimate the fatigue strength of materials, whilst using a lower amount of test results. The present study is intended to formulate and analyze a proposed method of estimating fatigue strength by utilizing a smaller number of tests. The aforementioned method that this paper aims to formulate, mainly focuses on a probabilistic estimation based on the Maximum Likelihood Procedure. The proposed method is applied to existing fatigue test data and its effectiveness is compared with other methods.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sungchil Lee
AU  - Odbileg Norovrinchen
AU  - Chinguunbileg Sumiyadorj
PY  - 2023
DA  - 2023/12/31
TI  - Fatigue Strength Estimation Based on the Maximum Likelihood Method
BT  - Proceedings of the second International Conference on Resources and Technology (RESAT 2023)
PB  - Atlantis Press
SP  - 98
EP  - 106
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-318-4_8
DO  - 10.2991/978-94-6463-318-4_8
ID  - Lee2023
ER  -