Reliability assessment for bolt joint system with multiple dependent competing failure processes

Zaiyou Yang, Hao Lyu, Yaping Zhao and Xuehang Qiao

Journal of Risk and Reliability, 2025, vol. 239, issue 5, 1016-1023

Abstract: In this paper, a novel reliability model for bolt joint systems is proposed, which incorporates multiple dependent competing failure processes (DCFP). The multiple DCFP model is constructed by the DCFP of individual bolts and the bolt joint system. The DCFP model of a component is developed by hard failure due to fatal shocks and soft failure resulting from degradation. The component failure process is stochastic dependent, as the stochastic shock process affects both the hard and the soft failure processes. Additionally, a system failure model is established by arranging N components in a circle, which is location-dependent. The failed components lead to either a K/N failure model or a k/r/N failure model for the bolt joint system. In the K/N (F) system model, failure occurs when the number of failed components (NOFC) reaches K . For the k/r/N system model, failure occurs when the NOFC reaches k within any consecutive r set out of N . A closed-form formula is derived from the system reliability model, which is applicable when there are fewer than two separate k/r/N patterns. The practicality of the proposed model is demonstrated through a case study involving a bolt joint system.

Keywords: System reliability; multiple dependent competing failure processes; k/r/N model; K/N model; bolt joint system (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1748006X241305699 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:239:y:2025:i:5:p:1016-1023

DOI: 10.1177/1748006X241305699

Access Statistics for this article

More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().