Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model

Gao, Haifeng; Zio, Enrico; Wang, Anjenq; Bai, Guang-Chen; Fei, Chengwei

doi:10.1016/j.ast.2020.105957

Cited by 55 publications

(17 citation statements)

References 65 publications

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“…The Kriging model 52,53 is an unbiased estimation model with the smallest estimation variance, which can be a better description of the nonlinear system and can also smooth the target response, remove noise, and improve the efficiency of optimization design. The Kriging model is mainly composed of linear regression component and random distribution component.…”

Section: Virtual Spacementioning

confidence: 99%

Real‐time prediction method of fatigue life of bridge crane structure based on digital twin

Dong

et al. 2021

Fatigue Fract Eng Mat Struct

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The comprehensive effect of multiple factors that include the geometric characteristics, load status, service characteristics, and failure mechanism will affect the safety of bridge crane structure. To evaluate the security of the bridge crane structure, the real‐time prediction method of fatigue life of the bridge structure based on digital twin is proposed. The specific type of general bridge crane is selected as the physical entity of the research object, and the information acquisition system is utilized to get the current service status information about the physical entity. On this basis, combined with the historical service information and inherent information of physical entity, the fuzzy database is established. Meanwhile, twin data are formed by the clear quantification of fuzzy information and data processing technology. In accordance with structural characteristic and work cycle process of bridge crane, the analytical models of load, strength, defect, and fatigue life are established, respectively. The multi‐theoretical calculation model is completed by encapsulating the analysis models and transmitting information, and then the main factors affecting the fatigue life of bridge crane structure are determined. With that, the comprehensive evaluation coefficient is calculated by the fuzzy comprehensive evaluation theory. The response relationship between the information data and the fatigue life of bridge crane structure is described by the Kriging surrogate model constructed with experimental design. Real‐time prediction of fatigue life of bridge crane structure is realized in a virtual space to depict the life cycle process. Taking QD20/10 t × 43 m × 12 m general bridge crane as an example, the feasibility and applicability of the proposed method are verified, which provides a strong theoretical basis for dependable service and timely scrapping of cranes.

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Section: Virtual Spacementioning

confidence: 99%

Real‐time prediction method of fatigue life of bridge crane structure based on digital twin

Dong

et al. 2021

Fatigue Fract Eng Mat Struct

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“…flow field, thermal field, structural field and so forth) is often involved during the operation process of structures, and these loads have dynamic characteristics and uncertainty (Gao et al. , 2020a, b; Zhu et al. , 2021a, b).…”

Section: Introductionmentioning

confidence: 99%

Structural dynamic reliability analysis: review and prospects

Teng

Feng

Chen

et al. 2022

IJSI

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PurposeThe purpose of this paper is to briefly summarize and review the theories and methods of complex structures’ dynamic reliability. Complex structures are usually assembled from multiple components and subjected to time-varying loads of aerodynamic, structural, thermal and other physical fields; its reliability analysis is of great significance to ensure the safe operation of large-scale equipment such as aviation and machinery.Design/methodology/approachIn this paper for the single-objective dynamic reliability analysis of complex structures, the calculation can be categorized into Monte Carlo (MC), outcrossing rate, envelope functions and extreme value methods. The series-parallel and expansion methods, multi-extremum surrogate models and decomposed-coordinated surrogate models are summarized for the multiobjective dynamic reliability analysis of complex structures.FindingsThe numerical complex compound function and turbine blisk are used as examples to illustrate the performance of single-objective and multiobjective dynamic reliability analysis methods. Then the future development direction of dynamic reliability analysis of complex structures is prospected.Originality/valueThe paper provides a useful reference for further theoretical research and engineering application.

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“…Aeroengine rotors are typical life-limited parts [1] that operate in complex environments with remarkably high temperatures, pressures, and rotational speeds [2,3]. The probabilistic damage tolerance assessment methodology is applied to address the threat of defects that may occur anywhere in the components [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Stress Intensity Factors for Corner Cracks under Arbitrary Stress Fields in the Finite Plates Based on the Point Weight Function Method

Zhou

Liu

et al. 2022

International Journal of Aerospace Engineering

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Probabilistic damage tolerance assessment is an essential method to evaluate the safety of aeroengine rotors. The stress intensity factors (SIFs) are the core parameters. The weight function method can calculate SIF efficiently. The available weight functions for corner cracks are suitable for cracks with universal stresses. However, when cracks are under bivariant stress distributions, the lack of the weight function database makes the damage tolerance assessment impractical. Therefore, this paper derives the point weight functions for corner cracks, which are suited for cracks in real-world components with two-directional stress distributions. The response surface method is used to build the surrogate model of the point weight functions. By integrating the weight functions with the stress distributions, SIFs can be calculated with high accuracy. In sum, 81% of the differences between the point weight function method and finite element results are less than 10%.

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Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model

Cited by 55 publications

References 65 publications

Real‐time prediction method of fatigue life of bridge crane structure based on digital twin

Real‐time prediction method of fatigue life of bridge crane structure based on digital twin

Structural dynamic reliability analysis: review and prospects

Stress Intensity Factors for Corner Cracks under Arbitrary Stress Fields in the Finite Plates Based on the Point Weight Function Method

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