Work

Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data

Year: 2024

Type: preprint

Abstract: This work proposes a parametric probabilistic approach to model damage accumulation using the double linear damage rule (DLDR) considering the existence of limited experimental fatigue data. A probabilistic version of DLDR is developed in which the joint distribution of the knee-point coordinates is obtained as a function of the joint distribution of the DLDR model input parameters. Considering information extracted from experiments containing a limited number of data points, an uncertainty quantification framework based on the Maximum Entropy Principle and Monte Carlo simulations is proposed to determine the distribution of fatigue life. The proposed approach is validated using fatigue life experiments available in the literature.

DOI: 10.31224/3921

Authors: João Paulo Dias, Stephen Ekwaro-Osire, Americo Cunha Jr, Shweta Dabetwar, Abraham Nispel, Fisseha Alemayehu, Haileyesus Endeshaw

Institutions: Texas Tech University, Universidade do Estado do Rio de Janeiro, West Texas A&M University, Colorado State University

Language: English

Topic: Fatigue and fracture mechanics

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4288098180

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