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Fatigue damage prediction under a general multiaxial service loading consists of three main steps: multiaxial cycle counting, damage evaluation for an identified cycle (or reversal), and damage accumulations.
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The first authority to explore economic cycles as periodically recurring phenomena was the French physician and statistician Clément Juglar, who in 1860 identified cycles based on a periodicity of roughly 8 to 11 years.
Spectral analysis required the analysts to identify cycle break points.
Based on the strain-life approach to fatigue, the method relies on a cycle counting routine to identify cycles and a damage model to assess damage for each cycle.
Importance of a proper cycle counting method to identify cycles in a variable amplitude load history, and capability of the linear cumulative damage rule to sum damage from the counted cycles are also discussed.
In the model identification stage, the ACF is a standard tool used to identify cycles, seasonality and other patterns in a series.
Our book identifies cycles of society as society swerves between an individualistic "me" era and a more civic-minded "we" one.
[1] used Fourier Spectral Analysis, e.g., [31], in conjunction with Monte Carlo simulations to identify cycles in the fossil record data and determine their statistical significance.
The incorporation of energetic constraints in flux balance analysis is not the only motivation to identify cycles.
Ebp1 is the human homologue of a previously identified cell cycle-regulated mouse protein p38-2G4.
ERBB3 binding protein 1 (EBP1) is the human homologue of a previously identified cell cycle-regulated mouse protein p38-2G4 [ 5].
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