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Fatigue reliability prediction of metallic shot peened-parts based on Wöhler curve
AbstractThe fatigue behaviour of shot-peened mechanical components is characterized by high uncertainty, where deterministic approaches fail to exactly estimate the structural service life. The aim of this paper is to evaluate the fatigue behaviour reliability of shot-peened metallic parts through a probabilistic approach based on the scattered S-N curves' experimental results. The dispersions of: (i) the Wöhler material coefficients, (ii) the applied loading and (iii) the shot-peened surface conditions are considered in the proposed model. The “strength-load” method using the Monte Carlo simulation technique is utilized to compute fatigue strength reliability. This approach can be regarded as a helpful method to analyse and discuss the influence of the shot-peening operating parameters on the fatigue behaviour reliability of metallic parts. Moreover, the suggested approach leads to predict iso-probabilistic S-N curves (P-S-N) for different shot-peening conditions.
HighlightsProbabilistic approach is proposed to quantify fatigue reliability behavior of shot-peened parts.The iso-probabilistic S-N curves (P-S-N) for different shot-peening conditions are implemented.The dispersions of the Wöhler material coefficients, the applied loading and the shot peening surface conditions are taken into account to assess the fatigue behaviour reliability of treated parts.
Fatigue reliability prediction of metallic shot peened-parts based on Wöhler curve
AbstractThe fatigue behaviour of shot-peened mechanical components is characterized by high uncertainty, where deterministic approaches fail to exactly estimate the structural service life. The aim of this paper is to evaluate the fatigue behaviour reliability of shot-peened metallic parts through a probabilistic approach based on the scattered S-N curves' experimental results. The dispersions of: (i) the Wöhler material coefficients, (ii) the applied loading and (iii) the shot-peened surface conditions are considered in the proposed model. The “strength-load” method using the Monte Carlo simulation technique is utilized to compute fatigue strength reliability. This approach can be regarded as a helpful method to analyse and discuss the influence of the shot-peening operating parameters on the fatigue behaviour reliability of metallic parts. Moreover, the suggested approach leads to predict iso-probabilistic S-N curves (P-S-N) for different shot-peening conditions.
HighlightsProbabilistic approach is proposed to quantify fatigue reliability behavior of shot-peened parts.The iso-probabilistic S-N curves (P-S-N) for different shot-peening conditions are implemented.The dispersions of the Wöhler material coefficients, the applied loading and the shot peening surface conditions are taken into account to assess the fatigue behaviour reliability of treated parts.
Fatigue reliability prediction of metallic shot peened-parts based on Wöhler curve
Seddik, R. (author) / Ben Sghaier, R. (author) / Atig, A. (author) / Fathallah, R. (author)
Journal of Constructional Steel Research ; 130 ; 222-233
2016-12-11
12 pages
Article (Journal)
Electronic Resource
English
Fatigue reliability prediction of metallic shot peened-parts based on Wöhler curve
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