Aug 2026· Proceedings of the Institution of mechanical engineers. Part C, journal of mechanical engineering science· 0 citations· 46 references
Abstract
Due to uncertainties such as loads and material degradation, the reliability of the crane boom changes over time. In this paper, a hybrid interval process and random model is used to characterize the uncertainty of crane boom. Considering that the reliability in actual engineering is often determined by a variety of failure modes, this paper considers three failure modes: strength failure, stiffness failure and stability failure. Because reliability analysis of crane boom involves time-consuming finite element analysis, a hybrid time-variant reliability analysis method based on the Kriging model is proposed to alleviate this issue. To reduce the computational complexity of the hybrid uncertain model, the equivalent uncertainty transformation method is employed. For the transformed model, an active learning method is utilized to construct a high-precision Kriging model, which can further reduce the analysis time. Based on the constructed Kriging model, the time-variant reliability results of the crane boom under multiple failure modes can be obtained by the Monte Carlo analysis. The proposed method is first verified by a cylindrical pressure vessel mathematical example and then applied on the reliability of crane booms.
Comparative studies across six benchmark cases demonstrate that the Two-Stage AK-MCS method reduces the average number of function evaluations by 2.0% to 10.0% compared to the standard AK-MCS method.
To evaluate the performance distribution of centrifugal pumps under dimensional deviation in design, this paper proposes a novel reliability analysis method combining the Bayesian‐Kriging model and the Copula function. A data‐driven surrogate model is established to rapidly predict the performance responses corresp...
Yi Li, Guangzhong Hu, Ping Wang et al.· Quality and Reliability Engi...· 0 citations
This paper reviews advances over the last decade in the field of computational structural reliability modelling. The discussion is focused on problems of time-variant/time-invariant reliability at the component level. Three broad classes of problems are considered: (a) time-invariant reliability problems involving stat...
Adwait Sharma, Oindrila Kanjilal, C. Manohar· 0 citations
This paper aims to provide a way to deal with the small sample related to failure data for reliability based on FMECA approach. In order to help optimize the reliability of products using a systematic method, a theoretical approach is applied, starting from the traditional theory of failure mode effects analysis (FMEA)...
Guanfeng Wang, Yamei Zhou, Qiang Zhang et al.· International Journal of Mod...· 5 citations
Reliability is a fundamental performance metric for products. However, for capital-intensive products, accurate reliability assessment remains challenging because of scarce, heterogeneous, and uncertain data. To address this issue, this article proposes a Bayesian design-use-stage data fusion framework for product reli...
Xiao-Gang Zhang, Shen Zhang, Wei Chen et al.· IEEE Transactions on Reliabi...· 1 citation
Wind turbine main bearings are critical components in the drivetrain and are characterised by long service life, low failure rates, and limited failure-interval samples, which increases uncertainty in reliability assessment and maintenance decision-making. To improve the utilisation of limited failure-interval informat...
