Modification optimization-based fatigue life analysis and improvement of EMU gear

Li, Yong Hua; Zhang, Chi; Yin, Hao; Cao, Yang; Bai, Xiaoning

doi:10.1108/ijsi-07-2021-0072

Cited by 13 publications

(10 citation statements)

References 11 publications

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“…This is an engineering evaluation example of NASA standard MDO test [51,52]. The model of this example is shown in Fig.…”

Section: The Engineering Speed Reducer Examplementioning

confidence: 99%

An Uncertainty Analysis and Reliability-Based Multidisciplinary Design Optimization Method Using Fourth-Moment Saddlepoint Approximation

Guo¹,

Lv²

2023

Computer Modeling in Engineering &Amp; Sciences

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In uncertainty analysis and reliability-based multidisciplinary design and optimization (RBMDO) of engineering structures, the saddlepoint approximation (SA) method can be utilized to enhance the accuracy and efficiency of reliability evaluation. However, the random variables involved in SA should be easy to handle. Additionally, the corresponding saddlepoint equation should not be complicated. Both of them limit the application of SA for engineering problems. The moment method can construct an approximate cumulative distribution function of the performance function based on the first few statistical moments. However, the traditional moment matching method is not very accurate generally. In order to take advantage of the SA method and the moment matching method to enhance the efficiency of design and optimization, a fourth-moment saddlepoint approximation (FMSA) method is introduced into RBMDO. In FMSA, the approximate cumulative generating functions are constructed based on the first four moments of the limit state function. The probability density function and cumulative distribution function are estimated based on this approximate cumulative generating function. Furthermore, the FMSA method is introduced and combined into RBMDO within the framework of sequence optimization and reliability assessment, which is based on the performance measure approach strategy. Two engineering examples are introduced to verify the effectiveness of proposed method.

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“…This is an engineering evaluation example of NASA standard MDO test [51,52]. The model of this example is shown in Fig.…”

Section: The Engineering Speed Reducer Examplementioning

confidence: 99%

An Uncertainty Analysis and Reliability-Based Multidisciplinary Design Optimization Method Using Fourth-Moment Saddlepoint Approximation

Guo¹,

Lv²

2023

Computer Modeling in Engineering &Amp; Sciences

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show abstract

“…In recent papers, there is a series of fatigue studies on structural elements. Among them, the works [14]- [17] stand out. Ma [14] examined fatigue life prediction in automobile components.…”

Section: Literature Reviewmentioning

confidence: 99%

A new approach for correlating Paris parameters with fatigue life of aircraft fuselage panels

Oliveira,

Gomes,

Delgado Neto

et al. 2023

Cad. Pedagógico

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This work presents a numerical technique that establishes a relationship between the C and m parameters of the Paris Law and the number of fatigue life cycles. This relationship is particularly important for determining the material's ability to withstand a specified number of cycles in an aircraft fuselage design. The methodology is based on a multiscale problem and comprises two stages: the macro model, which focuses on internal stresses and critical point location, and the micro model, which considers the critical fatigue life cycle number (n) across a "grid" of C and m parameters, resulting in the optimal curve N(C,m). To validate the adopted methodology, the academic program BemCracker2D has been used to calculate the internal stress fields, simulate cracks, and estimate fatigue life. Three case studies were conducted, and the results indicated that the range of C and m values obtained depends on the configuration of the macro model, the physical parameters of the material, and the defined number of cycles in the design. Ultimately, this computational technique allows for generalization to any fuselage damage analysis model, providing C and m Paris parameter data to mitigate fatigue damage.

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“…The EGO-LR algorithm not only reduces the time consumption but also can get the accurate optimal value, which is also suitable for high-dimensional functions. Computational Fluid Dynamics (CFD) promotes the experimental research and theoretical analysis of fluid analysis, which is a powerful technology of modern scientific research for simulating and analyzing physical problems such as flow and heat dissipation [24,25]. In this section, the axial-flow impeller and fluid analysis simulation model are established, and the flow characteristics of the outer flow field of the impeller are analyzed by ANSYS CFX.…”

Section: Optimization Comparison Between Ego-lr and Ego-pei Algorithmsmentioning

confidence: 99%

Fluid Analysis and Structure Optimization of Impeller Based on Surrogate Model

Xu¹,

Wei²,

He³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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The surrogate model technology has a good performance in solving black-box optimization problems, which is widely used in multi-domain engineering optimization problems. The adaptive surrogate model is the mainstream research direction of surrogate model technology, which can realize model fitting and global optimization of engineering problems by infilling criteria. Based on the idea of the adaptive surrogate model, this paper proposes an efficient global optimization algorithm based on the local remodeling method (EGO-LR), which aims at improving the accuracy and optimization efficiency of the model. The proposed algorithm firstly constructs the expectation improvement (EI) function in the local area and optimizes it to get the update points. Secondly, the obtained update points are added to the global region until the global accuracy of the model meets the requirements. Then the differential evolution algorithm is used for global optimization. Sixteen benchmark functions are used to compare the EGO-LR algorithm with the existing algorithms. The results show that the EGO-LR algorithm can quickly converge to the accuracy requirements of the model and find the optimal value efficiently when facing complex problems with many local extrema and large variable spaces. The proposed algorithm is applied to the optimization design of the structural parameter of the impeller, and the outflow field analysis of the impeller is realized through finite element analysis. The optimization with the maximum fluid pressure (MP value) of the impeller as the objective function is completed, which effectively reduces the pressure value of the impeller under load.

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Modification optimization-based fatigue life analysis and improvement of EMU gear

Cited by 13 publications

References 11 publications

An Uncertainty Analysis and Reliability-Based Multidisciplinary Design Optimization Method Using Fourth-Moment Saddlepoint Approximation

An Uncertainty Analysis and Reliability-Based Multidisciplinary Design Optimization Method Using Fourth-Moment Saddlepoint Approximation

A new approach for correlating Paris parameters with fatigue life of aircraft fuselage panels

Fluid Analysis and Structure Optimization of Impeller Based on Surrogate Model

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