Weibull stress distribution for static mechanical stress and its stress/strength analysis

The method's steps to estimate the Weibull shape (β) and scale (η) parameters, based only on the ratio of the maximal and minimal principal stresses (σ1/σ2) and on the designed reliability (R(t)) are given in Section 4.1. The method's efficiency is based on the following facts: (1) The squ...

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Veröffentlicht in:Quality and reliability engineering international 2018-03, Vol.34 (2), p.229-244
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description The method's steps to estimate the Weibull shape (β) and scale (η) parameters, based only on the ratio of the maximal and minimal principal stresses (σ1/σ2) and on the designed reliability (R(t)) are given in Section 4.1. The method's efficiency is based on the following facts: (1) The square root of σ1/σ2 represents the base life on which the Weibull lifetimes are estimated (see Equation ). (2) The mean of the logarithms of the expected lifetimes (g(x)) is completely determined by the determinant of the analyzed stress matrix (see Equation ). (3) The Weibull distribution is a circle centered on the arithmetic mean (μ), and it covers the whole principal stresses' span (see Figure ). (4) σ1/σ2 and g(x) completely determine the σ1i and σ2i values, which correspond to any lifetime in the Weibull analysis (see Equation ). And (5) σ1/σ2 and η completely determine the minimal and maximal lifetime, which corresponds to any σ1i and σ2i values (see Equation ). Additionally, by using the addressed stress β and η parameters, when the stress is either constant or variable, the formulation to estimate the designed R(t) index is given. The steps to determine both the material's strength average (μM) for a desired R(t) index and the R(t) index, which corresponds to a used μM value, are given.
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The method's efficiency is based on the following facts: (1) The square root of σ1/σ2 represents the base life on which the Weibull lifetimes are estimated (see Equation ). (2) The mean of the logarithms of the expected lifetimes (g(x)) is completely determined by the determinant of the analyzed stress matrix (see Equation ). (3) The Weibull distribution is a circle centered on the arithmetic mean (μ), and it covers the whole principal stresses' span (see Figure ). (4) σ1/σ2 and g(x) completely determine the σ1i and σ2i values, which correspond to any lifetime in the Weibull analysis (see Equation ). And (5) σ1/σ2 and η completely determine the minimal and maximal lifetime, which corresponds to any σ1i and σ2i values (see Equation ). Additionally, by using the addressed stress β and η parameters, when the stress is either constant or variable, the formulation to estimate the designed R(t) index is given. 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subjects Logarithms
Mathematical analysis
mechanical design
Mohr circle
principal component analysis
Stress concentration
Stress distribution
structural design
Weibull distribution
title Weibull stress distribution for static mechanical stress and its stress/strength analysis
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