RESEARCH PAPER
Mapping FRAM to BN through Accimap for system risk assessment: an application to heavy goods vehicle fire risk in road tunnels
1
School of reliability and systems engineering, Beihang University, China
2
School of reliability and systems engineering, Beihang university, China
Submission date: 2024-07-09
Final revision date: 2024-11-26
Acceptance date: 2025-01-31
Online publication date: 2025-02-10
Publication date: 2025-02-10
Corresponding author
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(3):200692
HIGHLIGHTS
- A structured mapping method from FRAM to BN for risk assessment is proposed.
- Accimap is introduced to enhance the mapping traceability and repeatability.
- Functional hexagons are transformed to Accimaps to describe their internal couplings.
- Accimaps are connected based on upstreamdownstream couplings to form a BN.
- The method is demonstrated by a case study of HGV fire in road tunnels.
KEYWORDS
Bayesian networkRisk assessmentFunctional resonance analysis methodAccimapStandardized mapping method
TOPICS
ABSTRACT
The Functional Resonance Analysis Method (FRAM) is extensively used to qualitatively analyze the risk of socio-technical systems. To quantitatively assess system risk, previous studies have explored various approaches to integrate FRAM with Bayesian Networks (BN). However, the process of mapping FRAM to BN relies heavily on subjective judgments, often lacking traceability and repeatability. In this paper, a standardized method for mapping FRAM to BN is proposed through introducing Accimap. Firstly, each FRAM’s functional hexagon is transformed into an Accimap, with the six aspects of functions corresponding to Accimap factors. In addition, their internal coupling relationships are obtained by cause and effect investigation in Accimap. Secondly, multiple Accimaps are connected based on the upstream-downstream couplings between functions in FRAM. Through this method, (i) the aspects of FRAM are transformed into Accimap factors and then BN nodes, and (ii) the couplings among the six aspects of functions and across multiple hexagons are converted into BN directed edges.
ACKNOWLEDGEMENTS
This work was supported in part by the National Natural Science Foundation of China under Grant 72201018, and in part by the Funding Project of Science and Technology on Reliability and Environmental Engineering Laboratory under Grant 614200420230102.
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