A reliability analysis strategy for main shaft of wind turbine using importance sampling and Kriging model

Liang, Le; Li, Yan; Fu, Sicheng

doi:10.1108/ijsi-01-2022-0006

Cited by 11 publications

(6 citation statements)

References 40 publications

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“…It takes less time and money to gather the information that needs to be researched. (Ling et al, 2022;Yüksel et al, 2022) say that for exploratory factor analysis, the sample size needs to be at least five times the number of variables that have been observed. In the study above, 43 variables were seen, so the minimum number of samples needed is N = 5 39 = 195.…”

Section: Research Method Sampling and Questionnaire Designmentioning

confidence: 99%

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Sherief

RAMAMOORTHY

2023

IJIRP

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Today, a company's success or failure is determined more by its employees than by any other factor, including natural resources, technology, or economies of scale, all of which can be replicated with rel-ative ease. Generation Y employees are sometimes referred to as the "next generation of workers," yet contrary to popular belief, several sources claim that this group is less devoted to remaining with a single employer than its predecessors. The increasing incidence of staff turnover has become an urgent problem. The purpose of this research is to determine what factors influence Gen Y workers in Malay-sia's IT sector to remain loyal to their employers over time. Organizational justice, managerial support, job satisfaction, and work-life balance were the independent variables examined, and their effects on the dependent variable, job satisfaction, were calculated (organizational commitment). It was easy to choose a sample of 195 responders from among the IT professionals who work for Selangor-based businesses. Having a positive influence on organizational commitment were factors including distribu-tive and procedural justice, job satisfaction, and work-life balance. Understanding the causes of em-ployees' dedication to the company is essential. Organizations may benefit greatly from the study's findings by tailoring their strategy, pay plans, management styles, and human resource procedures to the preferences of Generation Y workers, who are more likely to be committed to their employers as a result. The results, taken as a whole, show that the factors of organizational justice, managerial support, job happiness, and work-life balance are significantly influential in shaping the organizational commit-ment of Generation Y workers in the IT sector of Malaysia.

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Section: Research Method Sampling and Questionnaire Designmentioning

confidence: 99%

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Sherief

RAMAMOORTHY

2023

IJIRP

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“…In iterative optimization, the output response of each design variable is often obtained through experiments or Finite Element Analysis (FEA), which is a very time-consuming process. Therefore, surrogate models are usually used to approximate actual response (Liu et al ., 2021; Li et al ., 2021; Chen and Deng, 2022; Luo et al ., 2022a, b; Yang et al ., 2023a, b; Ling et al ., 2022). Currently, three popular surrogate models are the second-order polynomial response surface (Shanock et al ., 2010; Wang et al ., 2023), the Kriging model (Yu and Li, 2021; Teng et al ., 2022), and the artificial neural network (Lazakis et al ., 2018).…”

Section: The Proposed Rbdo Strategy For Maritime Engineering Structuresmentioning

confidence: 99%

A reliability-based design and optimization strategy using a novel MPP searching method for maritime engineering structures

Yang,

Meng,

Guo

et al. 2023

IJSI

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PurposeIn order to solve the problems faced by First Order Reliability Method (FORM) and First Order Saddlepoint Approximation (FOSA) in structural reliability optimization, this paper aims to propose a new Reliability-based Design Optimization (RBDO) strategy for offshore engineering structures based on Original Probabilistic Model (OPM) decoupling strategy. The application of this innovative technique to other maritime structures has the potential to substantially improve their design process by optimizing cost and enhancing structural reliability.Design/methodology/approachIn the strategy proposed by this paper, sequential optimization and reliability assessment method and surrogate model are used to improve the efficiency for solving RBDO. The strategy is applied to the analysis of two marine engineering structure cases of ship cargo hold structure and frame ring of underwater skirt pile gripper. The effectiveness of the method is proved by comparing the original design and the optimized results.FindingsIn this paper, the proposed new RBDO strategy is used to optimize the design of the ship cargo hold structure and the frame ring of the underwater skirt pile gripper. According to the results obtained, compared with the original design, the structure of optimization design has better reliability and stability, and reduces the risk of failure. This optimization can also better balance the relationship between performance and cost. Therefore, it is recommended for related RBDO problems in the field of marine engineering.Originality/valueIn view of the limitations of FORM and FOSA that may produce multiple MPPs for a single performance function, the new RBDO strategy proposed in this study provides valuable insights and robust methods for the optimization design of offshore engineering structures. It emphasizes the importance of combining advanced MPP search technology and integrating SORA and surrogate models to achieve more economical and reliable design.

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“…Surrogate modeling methods that can reduce the simulation burden are widely used in reliability analysis, sensitivity assessment and probability estimation (Li et al ., 2022b, c; Meng et al ., 2021; Wang et al ., 2020; Keshtegara and Kisi, 2018). Among them, compared to active Kriging combined with MCS (AK-MCS), by integrating the approximation ability of active Kriging (AK) model and the variance reduction ability of importance sampling (IS), the active Kriging-based importance sampling (AK-IS) can obtain reliability analysis results with high accuracy with only a small amount of complex LSF calls (Ling et al ., 2022; Yu et al ., 2022; Zhang et al ., 2022c). Unfortunately, the computational accuracy of the conventional AK-IS heavily depends on the searching accuracy of the most probable failure point (MPP), which greatly constrain its applications in complex high-nonlinearity problems since the MPP points are hard to be found in practice (Echard et al ., 2013; Li et al ., 2016, 2022d).…”

Section: Introductionmentioning

confidence: 99%

Fatigue reliability framework using enhanced active Kriging-based hierarchical collaborative strategy

Zhang

Song

Bai

2023

IJSI

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PurposeThe purpose of this study is to improve the computational efficiency and accuracy of fatigue reliability analysis.Design/methodology/approachBy absorbing the advantages of Markov chain and active Kriging model into the hierarchical collaborative strategy, an enhanced active Kriging-based hierarchical collaborative model (DCEAK) is proposed.FindingsThe analysis results show that the proposed DCEAK method holds high accuracy and efficiency in dealing with fatigue reliability analysis with high nonlinearity and small failure probability.Research limitations/implicationsThe effectiveness of the presented method in more complex reliability analysis problems (i.e. noisy problems, high-dimensional issues etc.) should be further validated.Practical implicationsThe current efforts can provide a feasible way to analyze the reliability performance and identify the sensitive variables in aeroengine mechanisms.Originality/valueTo improve the computational efficiency and accuracy of fatigue reliability analysis, an enhanced active DCEAK is proposed and the corresponding fatigue reliability framework is established for the first time.

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A reliability analysis strategy for main shaft of wind turbine using importance sampling and Kriging model

Cited by 11 publications

References 40 publications

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

Crucial Factor Affecting Generation Y’s commitment to the Malaysian IT sector: A Cross-Sectional Study

A reliability-based design and optimization strategy using a novel MPP searching method for maritime engineering structures

Fatigue reliability framework using enhanced active Kriging-based hierarchical collaborative strategy

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