A fatigue life estimation algorithm based on Statistical Energy Analysis in high-frequency random processes

• Published in: International journal of fatigue Vol. 83; no. Part 2; pp. 221 - 229
• Main Authors: Wang, Yongyan, Chen, Haibo, Zhou, Hongwei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2016
• Subjects: Aircraft; Aircraft components; Algorithms; Band spectra; Fatigue life; Frequency-domain method; Plates (structural members); Spectra; Statistical Energy Analysis; Stress power spectral density; Statistical Energy Analysis; Fatigue life; Stress power spectral density; Frequency-domain method
• ISSN: 0142-1123; 1879-3452
• DOI: 10.1016/j.ijfatigue.2015.10.017

•A fatigue life estimation algorithm based on SEA is proposed.•The fatigue damage is not sensitive to stress PSD shapes in 1/3 octave band.•The stress RMS is enough to predict fatigue life in the proposed algorithm. A frequency-domain fatigue life estimation algorithm based on Statistical Energy Analysis (SEA) is proposed in this study for a structure subject to high-frequency loading. The main contribution is to observe that, when evaluated at 1/3-octave bands, the RMS value of the power spectral density (PSD) function is sufficiently refined to produce meaningful fatigue life estimates. A practical application concerning the fatigue life of a plate of aircraft subject to high-frequency random loading is presented to confirm the applicability of the proposed algorithm.