Stochastic approach to fatigue crack-growth simulation for a railway axle under input data variability

Giannella, Venanzio

doi:10.1016/j.ijfatigue.2020.106044

Cited by 34 publications

(34 citation statements)

References 43 publications

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“…As it is known today, the metal fatigue process is complex, still not fully understood, with many variables which can influence the life of a structure, such as: material, loading, geometric characteristics, pre-existing defects, etc. [1][2][3][4]. Quantifying and controlling these variables is essential to enhance the competitiveness in designing fatigue-safe products, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…According to numerous researches [2][3][9][10][11][12][13], scatter of material data seems to represent the most relevant contribute to the variability of life predictions of engineering structures. This investigation developed statistical concepts to FCG behaviour by considering only the material scattering as source of variability for the definition of the lifespan distribution for a given case study, i.e.…”

Section: Introductionmentioning

confidence: 99%

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On the statistical nature of fatigue crack-growth through Monte Carlo simulations and experimental data

Giannella

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Understanding factors that contribute to scatter in crack-growth rates data is fundamental to reduce risk of unexpected structural failures. This document discusses the statistical nature of material scattering observed in fatigue crack propagation tests through a comparison between Monte Carlo simulations and experimental test data. The case study consists of constant amplitude tests on central cracked 2024-T3 aluminium alloy plate specimens loaded in pure Mode-I with stress ratio R equals to 0.2. It was found that results of simulations matched the experimental fatigue lives in terms of both mean value and dispersion around it. Based on these outcomes, the crack-growth behaviour can be described in a statistical manner with the expectation to reduce the inaccuracy present in life predictions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the statistical nature of fatigue crack-growth through Monte Carlo simulations and experimental data

Giannella

2022

IOP Conf. Ser.: Mater. Sci. Eng.

Self Cite

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“…Zhu [10] analyzes the stress-strain response induced by probabilistic plasticity with uncertainty. Giannella [11] proposes a stochastic approach, which takes multiple sources of uncertainty into account, to predict the probability distribution of the residual fatigue life of a defective railway axle. Sinou [12] applies the Kriging element model to predict the uncertain dynamic behaviors of flexible rotor system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Response of Dual-Disk Rotor System with Uncertainties Based on Chebyshev Convex Method

et al. 2021

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In this paper, a non-probabilistic Chebyshev convex method (CCM) for the transient dynamics of a dual-disk rotor system with uncertain parameters is proposed. The dynamic equation of the dual-disk rotor system is derived by the finite element method (FEM), and the deterministic response is obtained. Then the CCM is used to obtain the uncertain transient responses of the dual-disk rotor system. The amplitude ranges and response characteristics are quite close to the calculation results of the convex Monte Carlo simulation (CMCS), which verifies the accuracy and validity of the CCM. The experimental results demonstrate that the proposed method has good performance in the uncertainty analysis of the rotor system. More importantly, the results will be helpful to understand the dynamic behavior of dual-disk rotor systems with uncertainties and provide guidance for robust design and analysis.

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“…Due to the advantages of dimensionality reduction, semi-analysis, and being suitable for dealing with stress concentration and infinite domain problems, the boundary element method (BEM) [1] has been successfully adopted in different environments, such as fracture mechanics [2][3][4] and acoustics [5][6][7][8]. In contrast to the finite element method (FEM) [9,10], the BEM does not require the continuity of physical quantities between elements [11].…”

Section: Introductionmentioning

confidence: 99%

“…An improved singular element subdivision method is proposed to reduce the side effect of the time step on the integral accuracy. (2) The influence of the node position of the partially discontinuous elements on the computational accuracy and result stability is studied through two classical numerical examples. The recommended value range of the inward shift ratio of the element node is provided.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements

Zhang

Gong

et al. 2021

Algorithms

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Compared with continuous elements, discontinuous elements advance in processing the discontinuity of physical variables at corner points and discretized models with complex boundaries. However, the computational accuracy of discontinuous elements is sensitive to the positions of element nodes. To reduce the side effect of the node position on the results, this paper proposes employing partially discontinuous elements to compute the time-domain boundary integral equation of 3D elastodynamics. Using the partially discontinuous element, the nodes located at the corner points will be shrunk into the element, whereas the nodes at the non-corner points remain unchanged. As such, a discrete model that is continuous on surfaces and discontinuous between adjacent surfaces can be generated. First, we present a numerical integration scheme of the partially discontinuous element. For the singular integral, an improved element subdivision method is proposed to reduce the side effect of the time step on the integral accuracy. Then, the effectiveness of the proposed method is verified by two numerical examples. Meanwhile, we study the influence of the positions of the nodes on the stability and accuracy of the computation results by cases. Finally, the recommended value range of the inward shrink ratio of the element nodes is provided.

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Stochastic approach to fatigue crack-growth simulation for a railway axle under input data variability

Cited by 34 publications

References 43 publications

On the statistical nature of fatigue crack-growth through Monte Carlo simulations and experimental data

On the statistical nature of fatigue crack-growth through Monte Carlo simulations and experimental data

Dynamic Response of Dual-Disk Rotor System with Uncertainties Based on Chebyshev Convex Method

Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements

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