Critical plane–based multiaxial fatigue life prediction of turbine disk alloys by refining normal stress sensitivity

Xu, Shen; Zhu, Shun‐Peng; Hao, Yong‐Zhen; Liao, Ding

doi:10.1177/0309324718779922

Cited by 27 publications

(25 citation statements)

References 65 publications

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“…[46][47][48][49][50][51][52] This process can affect the reliability of equipment performance or even result in the failure of works. 12,[53][54][55][56][57][58][59][60][61] To enhance safety, many different uncertainty analysis and reliability evaluation approaches were proposed and developed in the past decades. In general, three types of these approaches are usually been utilized.…”

Section: Simulation or Approximation Reliability Methodsmentioning

confidence: 99%

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Meng

Yang

Zhang³

et al. 2018

Fatigue Fract Eng Mat Struct

136

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In power and energy systems, both the aerodynamic performance and the structure reliability of turbine equipment are affected by utilized blades. In general, the design process of blade is high dimensional and nonlinear. Different coupled disciplines are also involved during this process. Moreover, unavoidable uncertainties are transported and accumulated between these coupled disciplines, which may cause turbine equipment to be unsafe. In this study, a saddlepoint approximation reliability analysis method is introduced and combined with collaborative optimization method to address the above challenge. During the above reliability analysis and design optimization process, surrogate models are utilized to alleviate the computational burden for uncertainties‐based multidisciplinary design and optimization problems. Smooth response surfaces of the performance of turbine blades are constructed instead of expensively time‐consuming simulations. A turbine blade design problem is solved here to validate the effectiveness and show the utilization of the given approach.

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Section: Simulation or Approximation Reliability Methodsmentioning

confidence: 99%

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Meng

Yang

Zhang³

et al. 2018

Fatigue Fract Eng Mat Struct

136

View full text Add to dashboard Cite

show abstract

“…Recently, scholars took the maximum damage plane as the critical plane for multiaxial fatigue damage analysis. Since the fatigue crack failure mode of GH4169 alloy in this paper belongs to the shear failure mode [37], the accuracy of multiaxial fatigue life prediction using the SWT model is poor, but the prediction effect using the FS model is conservative.…”

Section: Multiaxial Fatigue Life Prediction Modelmentioning

confidence: 99%

“…Wu et al proposed a new multiaxial fatigue life prediction model by incorporating the concepts of nonlinear continuum damage mechanics and critical plane criteria [36]. Xu et al asserted the inconvenience of fitting the normal stress sensitivity parameter from additional experimental data and put forward a simple critical plane-based damage parameter with no additional material constants, which attempts to provide a robust method for the multiaxial fatigue analysis of turbine disc alloys [37].…”

Section: Introductionmentioning

confidence: 99%

Multiaxial Fatigue Life Prediction of GH4169 Alloy Based on the Critical Plane Method

Liu

Zhang

Li³

et al. 2019

Metals

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The multiaxial fatigue life of GH4169 alloy was predicted based on the critical plane method. In this paper, a new critical plane-damage multiaxial fatigue parameter is proposed, in which the maximum shear strain is considered to be the main damage control parameter, and the correction parameter, including the normal stress and strain of the maximum shear strain plane, is defined as the second control parameter. The axis of principle strain rotates under non-proportional loading. Meanwhile, the mechanism of the variation of material microstructure and slip systems leads to an additional hardening phenomenon. The ratio of cyclic yield stress to static yield stress is used to represent cyclic strengthening capacity, and the influence of the phase difference and loading condition on the non-proportional reinforcement effect is considered. It is also proposed that different materials have different influences on the additional hardening phenomenon. Meanwhile, the model revision results in stress under asymmetrical loading. Experimental data of GH4169 alloy show that the proposed model can provide better prediction than the Smith–Watson–Topper (SWT) and Fatemi–Socie (FS) models.

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“…Among many criteria described in the literature, a group can be distinguished which is characterised by the assumption that components of the stress/strain vector in a material plane with a specific orientation are correlated with the fatigue life. This proposal, called the critical plane approach, has gained great interest [17][18][19][20][21][22][23][24][25][26][27][28]. Depending on the material, strain state, environment, component geometry, and stress amplitude, the fatigue process may be dominated by cracking in the plane of maximum shear or normal stresses [29,30].…”

Section: Introductionmentioning

confidence: 99%

Application of Life-Dependent Material Parameters to Fatigue Life Prediction under Multiaxial and Non-Zero Mean Loading

2020

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This study presents the life-dependent material parameters concept as applied to several well-known fatigue models for the purpose of life prediction under multiaxial and non-zero mean loading. The necessity of replacing the fixed material parameters with life-dependent parameters is demonstrated. The aim of the research here is verification of the life-dependent material parameters concept when applied to multiaxial fatigue loading with non-zero mean stress. The verification is performed with new experimental fatigue test results on a 7075-T651 aluminium alloy and S355 steel subjected to multiaxial cyclic bending and torsion loading under stress ratios equal to R = −0.5 and 0.0, respectively. The received results exhibit the significant effect of the non-zero mean value of shear stress on the fatigue life of S355 steel. The prediction of fatigue life was improved when using the life-dependent material parameters compared to the fixed material parameters.

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Critical plane–based multiaxial fatigue life prediction of turbine disk alloys by refining normal stress sensitivity

Cited by 27 publications

References 65 publications

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model

Multiaxial Fatigue Life Prediction of GH4169 Alloy Based on the Critical Plane Method

Application of Life-Dependent Material Parameters to Fatigue Life Prediction under Multiaxial and Non-Zero Mean Loading

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