Sensitivity Analysis for Optimisation Problems with Random Fatigue Life Constraints

2009 ◽  
Author(s):  
S. Lambert ◽  
L. Khalij ◽  
E. Pagnacco ◽  
A. El-Hami
Keyword(s):  
Sensitivity Analysis ◽  
Fatigue Life ◽  
Random Fatigue

Generalization of Spectral Methods for High-Cycle Fatigue Analysis to Accommodate Non-Stationary Random Processes

2019 ◽  
Author(s):  
Mohamed Khalil ◽  
Roland Wüchner ◽  
Kai-Uwe Bletzinger
Keyword(s):  
Sensitivity Analysis ◽  
Fatigue Life ◽  
Spectral Methods ◽  
High Cycle Fatigue ◽  
Random Processes ◽  
Stationary Processes ◽  
Cycle Fatigue ◽  
Material Fatigue ◽  
Frequency Domains ◽  
Stationary Random Processes

Abstract Estimation of material fatigue life is an essential task in many engineering fields. When non-proportional loads are applied, the methodology to estimate fatigue life grows in complexity. Many methods have been proposed to solve this problem both in time and frequency domains. The former tends to give more accurate results, while the latter seems to be more computationally favorable. Until now, the focus of frequency-based methods has been limited to signals assumed to follow a stationary statistic process. This work proposes a generalization to the existing methods to accommodate non-stationary processes as well. A sensitivity analysis is conducted on the influence of the formulation’s hyper-parameters, followed by a numerical investigation on different signals and various materials to assert the robustness of the method.

Alternative Method for the Determination of a Full S-N Fatigue Profile

2016 ◽  
Vol 250 ◽  
pp. 209-216 ◽  
Author(s):  
Przemysław Strzelecki ◽  
Janusz Sempruch ◽  
Tomasz Tomaszewski
Keyword(s):  
Fatigue Life ◽  
Linear Regression ◽  
Fatigue Limit ◽  
Fatigue Curve ◽  
The Other ◽  
Staircase Method ◽  
Alternative Method ◽  
Random Fatigue

This paper presents two methods for estimating the S-N fatigue curve. The first is the traditional linear regression and staircase method. The other, alternative, method is based on random fatigue life, fatigue limit and probability. The both methods provide similar results but the latter one requires fewer test samples

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