Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads

The in-service loading condition of many engineering structures is generally composed of a stationary random loading caused by the mechanical vibration, and the spike loads due to occasional events, such as the sudden shock and accidental turbulence. In this paper, a physical-based method is propose...

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Main Authors: Shan Jiang, Wei Zhang, Zili Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8305473/
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spelling doaj-fc587c9ac1484f4497c22822fbe3b5242021-03-29T20:41:12ZengIEEEIEEE Access2169-35362018-01-016168781688610.1109/ACCESS.2018.28108268305473Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike LoadsShan Jiang0Wei Zhang1https://orcid.org/0000-0002-7754-6058Zili Wang2Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing, ChinaScience and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing, ChinaScience and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing, ChinaThe in-service loading condition of many engineering structures is generally composed of a stationary random loading caused by the mechanical vibration, and the spike loads due to occasional events, such as the sudden shock and accidental turbulence. In this paper, a physical-based method is proposed to evaluate the reliability of structure subjected to the stationary random fatigue loading superimposed by occasional spike loads. First, since the interaction effects of stationary random loading are approximately stable, the realistic random loading can be transferred to an equivalent constant amplitude loading. This equivalent transformation method can avoid the complicated cycle-by-cycle calculation. This approach is derived from the two-parameter fatigue crack growth model, in which the driving parameters of the fatigue crack growth are the stress intensity factor of peak load and the stress intensity factor range. Second, the spike loads lead to the high nonlinearity of interaction effect, which can be accounted for by the plasticity. Therefore, the generalized Willenborg model is employed to calculate the fatigue crack propagation under the spike loading effects. Then, the extensive experimental data of aluminum alloys are used to validate the proposed method, in which the indeterminacies of material parameter and spike loads are considered. It is observed that all the testing data are contained within the prediction 90% confidence interval bounds. In addition, a Monte Carlo simulation example of fatigue life reliability assessment under stationary random loading with spike loads is performed. Two scenarios of different spike load distributions are discussed. In the first scenario, the spike loads are applied at a fixed time interval, while in the other scenario, the spike loads occur with varying time period. The results indicate that the proposed approach can appropriately evaluate the fatigue reliability of the structure under stationary random loading with spike loads.https://ieeexplore.ieee.org/document/8305473/Fatiguereliability engineeringrandom variables
collection DOAJ
language English
format Article
sources DOAJ
author Shan Jiang
Wei Zhang
Zili Wang
spellingShingle Shan Jiang
Wei Zhang
Zili Wang
Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads
IEEE Access
Fatigue
reliability engineering
random variables
author_facet Shan Jiang
Wei Zhang
Zili Wang
author_sort Shan Jiang
title Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads
title_short Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads
title_full Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads
title_fullStr Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads
title_full_unstemmed Probabilistic Fatigue Crack Growth Analysis Under Stationary Random Loading With Spike Loads
title_sort probabilistic fatigue crack growth analysis under stationary random loading with spike loads
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description The in-service loading condition of many engineering structures is generally composed of a stationary random loading caused by the mechanical vibration, and the spike loads due to occasional events, such as the sudden shock and accidental turbulence. In this paper, a physical-based method is proposed to evaluate the reliability of structure subjected to the stationary random fatigue loading superimposed by occasional spike loads. First, since the interaction effects of stationary random loading are approximately stable, the realistic random loading can be transferred to an equivalent constant amplitude loading. This equivalent transformation method can avoid the complicated cycle-by-cycle calculation. This approach is derived from the two-parameter fatigue crack growth model, in which the driving parameters of the fatigue crack growth are the stress intensity factor of peak load and the stress intensity factor range. Second, the spike loads lead to the high nonlinearity of interaction effect, which can be accounted for by the plasticity. Therefore, the generalized Willenborg model is employed to calculate the fatigue crack propagation under the spike loading effects. Then, the extensive experimental data of aluminum alloys are used to validate the proposed method, in which the indeterminacies of material parameter and spike loads are considered. It is observed that all the testing data are contained within the prediction 90% confidence interval bounds. In addition, a Monte Carlo simulation example of fatigue life reliability assessment under stationary random loading with spike loads is performed. Two scenarios of different spike load distributions are discussed. In the first scenario, the spike loads are applied at a fixed time interval, while in the other scenario, the spike loads occur with varying time period. The results indicate that the proposed approach can appropriately evaluate the fatigue reliability of the structure under stationary random loading with spike loads.
topic Fatigue
reliability engineering
random variables
url https://ieeexplore.ieee.org/document/8305473/
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AT weizhang probabilisticfatiguecrackgrowthanalysisunderstationaryrandomloadingwithspikeloads
AT ziliwang probabilisticfatiguecrackgrowthanalysisunderstationaryrandomloadingwithspikeloads
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