In this study, stochastic analysis is aimed for space structures (satellite in low earth orbit, 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 functions, (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.
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June 2018
Research-Article
Stochastic Fatigue Crack Growth Analysis for Space System Reliability
Hossein Salimi,
Hossein Salimi
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: h_salimi@sut.ac.ir
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: h_salimi@sut.ac.ir
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Saeed Kiad,
Saeed Kiad
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: s_kiad@sut.ac.ir
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: s_kiad@sut.ac.ir
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Mohammad Pourgol-Mohammad
Mohammad Pourgol-Mohammad
Mem. ASME
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: pourgolmohammad@sut.ac.ir
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: pourgolmohammad@sut.ac.ir
Search for other works by this author on:
Hossein Salimi
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: h_salimi@sut.ac.ir
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: h_salimi@sut.ac.ir
Saeed Kiad
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: s_kiad@sut.ac.ir
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: s_kiad@sut.ac.ir
Mohammad Pourgol-Mohammad
Mem. ASME
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: pourgolmohammad@sut.ac.ir
Mechanical Engineering Department,
Sahand University of Technology,
Tabriz 51335-1996, Iran
e-mail: pourgolmohammad@sut.ac.ir
1Corresponding author.
Manuscript received February 15, 2017; final manuscript received June 23, 2017; published online October 3, 2017. Assoc. Editor: Alba Sofi.
ASME J. Risk Uncertainty Part B. Jun 2018, 4(2): 021004 (7 pages)
Published Online: October 3, 2017
Article history
Received:
February 15, 2017
Revised:
June 23, 2017
Citation
Salimi, H., Kiad, S., and Pourgol-Mohammad, M. (October 3, 2017). "Stochastic Fatigue Crack Growth Analysis for Space System Reliability." ASME. ASME J. Risk Uncertainty Part B. June 2018; 4(2): 021004. https://doi.org/10.1115/1.4037219
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