Methodology to Determine the Stress Distribution Based on Fatigue Data with Bilinear Behavior and Its P–S–N Field and Testing Plan

In this paper, based on the Weibull Inverse Power Law, we present a methodology to determine the following: (1) the failure percentiles, referred to as the P–S–N field, of an S–N curve for a 42CrMo4 steel material exhibiting bilinear (s1 and s2) behavior (e.g., a competence failure mode); (2) the Weibull family that characterizes the entire bilinear behavior; and (3) the zero-vibration test plan that meets the required vibration reliability index of Rt=0.97 with a reliability confidence level of CL=0.75. From the application, based on the formulated normal–Weibull relationship, we determine the failure percentiles for the normal (one, two, and three) sigma levels, as well as those failure percentiles corresponding to the capability (Cp) and ability (Cpk) indices. Finally, we present the formulation to determine the Rt index and the CL level associated with each normal percentile, along with their numerical values.

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Publication Details

Journal
Applied Sciences
Published
2025-02-21
DOI
https://doi.org/10.3390/app15052295
Citations
1
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.86
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article

Methodology to Determine the Stress Distribution Based on Fatigue Data with Bilinear Behavior and Its P–S–N Field and Testing Plan

Jesús F. Ortiz-Yáñez, Manuel R. Piña‐Monarrez, María Magdalena Hernández Ramos, Osvaldo Monclova-Quintana
1 citations
Applied Sciences
Fatigue and fracture mechanics
0.86
article

Methodology to Determine the Stress Distribution Based on Fatigue Data with Bilinear Behavior and Its P–S–N Field and Testing Plan

Jesús F. Ortiz-Yáñez, Manuel R. Piña‐Monarrez, María Magdalena Hernández Ramos, Osvaldo Monclova-Quintana
article en
1 citations

Abstract

In this paper, based on the Weibull Inverse Power Law, we present a methodology to determine the following: (1) the failure percentiles, referred to as the P–S–N field, of an S–N curve for a 42CrMo4 steel material exhibiting bilinear (s1 and s2) behavior (e.g., a competence failure mode); (2) the Weibull family that characterizes the entire bilinear behavior; and (3) the zero-vibration test plan that meets the required vibration reliability index of Rt=0.97 with a reliability confidence level of CL=0.75. From the application, based on the formulated normal–Weibull relationship, we determine the failure percentiles for the normal (one, two, and three) sigma levels, as well as those failure percentiles corresponding to the capability (Cp) and ability (Cpk) indices. Finally, we present the formulation to determine the Rt index and the CL level associated with each normal percentile, along with their numerical values.

Applied SciencesVol. 15(5)
Universidad Autónoma de Ciudad Juárez (MX)
Openalex Percentile: Top 34%
Fatigue and fracture mechanics
0.86
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