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research-article

Stochastic Fatigue Crack Growth Analysis for Space System Reliability

[+] Author and Article Information
Hossein Salimi

Mechanical Engineering Department, Sahand University of Technology, Tabriz, Iran
h_salimi@sut.ac.ir

Saeed Kiad

Mechanical Engineering Department, Sahand University of Technology, Tabriz, Iran
s_kiad @sut.ac.ir

Mohammad Pourgol-Mohammad

Mechanical Engineering Department, Sahand University of Technology, Tabriz, Iran
pourgolmohammad@sut.ac.ir

1Corresponding author.

ASME doi:10.1115/1.4037219 History: Received February 15, 2017; Revised June 23, 2017

Abstract

In this study, stochastic analysis is aimed for space structures (satellite in LEO, made of aluminum 2024-T3), with the focus on fatigue failure. Primarily, the deterministic fatigue simulation is conducted using Walker and Forman models with constant amplitude loading. Deterministic crack growth was numerically simulated by the authors developed algorithm and is compared with commercial software for accuracy verification as well as validation with the experimental data. For the stochastic fatigue analysis of this study, uncertainty is estimated by using the Monte Carlo simulation. It is observed that by increasing the crack length, the standard deviation (the measure of uncertainty) increases. Also, it is noted that the reduction in stress ratio has the similar effect. Then stochastic crack growth model, proposed by Yang and Manning, is employed for the reliability analysis. This model converts the existing deterministic fatigue models to stochastic one by adding a random coefficient. Applicability of this stochastic model completely depends on accuracy of base deterministic function. In this study, existing deterministic functions (power and second polynomial) are reviewed and three new function I) fractional, II) global and III) exponential are proposed. It is shown that the proposed functions are potentially used in the Yang and Manning model for better results.

Copyright (c) 2017 by ASME
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