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Related Concept Videos

Fatigue01:21

Fatigue

221
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
221
Fatigue Strength of Concrete01:22

Fatigue Strength of Concrete

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Fatigue, in the context of materials science and engineering, refers to the weakening or failure of a material caused by repeatedly applied loads, even if these loads are below the strength limit of the material. Fatigue strength in concrete is a critical property that influences its durability and longevity. Concrete can fail in two ways due to fatigue. Static fatigue or creep rupture occurs under a constant load or one that increases slowly. The other failure mode is due to cyclical or...
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Design Consideration01:22

Design Consideration

277
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
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Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

518
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
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Influence of PSD Estimation Parameters on Fatigue Life Prediction in Spectral Method.

Adam Kaľavský1, Adam Niesłony2, Róbert Huňady1

  • 1Department of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, 04 200 Košice, Slovakia.

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PubMed
Summary

The Welch method

Keywords:
Welch methodpower spectral densityprobability density functionsensitivity analysisspectral fatigue

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Area of Science:

  • Engineering
  • Signal Processing
  • Statistics

Background:

  • Frequency domain analysis is crucial for fatigue life estimation.
  • The Welch method is commonly used for power spectral density (PSD) estimation.
  • Parameter settings in the Welch method can impact results.

Purpose of the Study:

  • To analyze the influence of Welch method parameters on fatigue life estimation.
  • To investigate how window size, weighting, and overlap affect PSD calculations and lifetime.
  • To determine optimal Welch method parameter configurations for fatigue analysis.

Main Methods:

  • Generated four reference PSD spectra.
  • Converted spectra to time histories via inverse fast Fourier transform.
  • Applied the Welch method for PSD estimation.
  • Utilized Dirlik and Tovo-Benasciutti models for fatigue life estimation.

Main Results:

  • Parameter settings significantly influence PSD estimation and fatigue life calculations.
  • Smaller time windows (max 60% of observation length) are optimal.
  • Larger overlap (min 70% of window size) improves accuracy.

Conclusions:

  • Optimal Welch method parameters are identified for accurate fatigue life estimation.
  • Specific parameter choices enhance the reliability of frequency domain fatigue analysis.