(40e) Semi-Automated Bowtie Diagrams for Optimizing Safety Analysis in the Railway Infrastructure
AIChE Spring Meeting and Global Congress on Process Safety
2023
2023 Spring Meeting and 19th Global Congress on Process Safety
Global Congress on Process Safety
GCPS - Process Safety Poster Session
Monday, March 13, 2023 - 5:00pm to 7:00pm
This work describes a research and development effort seeking to exploit information and knowledge already
stored in digital Building Information Models to enable semi-automatic generation of bowtie diagrams that are
tailored for local scenarios and constraints for specific railway tunnels. The work aims to improve state-of-practice work processes for developing bowtie diagrams used for barrier management and safety analysis for the Norwegian railway infrastructure. The concept is based on a large generic and combined bowtie model for tunnels which combines a large repository of knowledge around hazards related to train operation in railway tunnels. The goal is to streamline risk and emergency preparedness analysis by reusing hazards and results from previous analyses, and to clearly separate hazards already handled by current code of practice from hazards that need to explicitly be risk assessed. Further, it has the potential to improve learning- and knowledge building between different projects and ensure coherence between different analysis. The work is general in nature and applicable for other domains. In the context of railways, examples include bridges, level crossings, yard tracks, and railway stations. The research effort includes identifying feasibility, sources of information, specifying a software architecture concept, and provides recommendations on how this concept can be applied for large industrial railway projects.
stored in digital Building Information Models to enable semi-automatic generation of bowtie diagrams that are
tailored for local scenarios and constraints for specific railway tunnels. The work aims to improve state-of-practice work processes for developing bowtie diagrams used for barrier management and safety analysis for the Norwegian railway infrastructure. The concept is based on a large generic and combined bowtie model for tunnels which combines a large repository of knowledge around hazards related to train operation in railway tunnels. The goal is to streamline risk and emergency preparedness analysis by reusing hazards and results from previous analyses, and to clearly separate hazards already handled by current code of practice from hazards that need to explicitly be risk assessed. Further, it has the potential to improve learning- and knowledge building between different projects and ensure coherence between different analysis. The work is general in nature and applicable for other domains. In the context of railways, examples include bridges, level crossings, yard tracks, and railway stations. The research effort includes identifying feasibility, sources of information, specifying a software architecture concept, and provides recommendations on how this concept can be applied for large industrial railway projects.