BN & CFD-based quantitative risk assessment of the natural gas explosion in utility tunnels. (December 2022)
- Record Type:
- Journal Article
- Title:
- BN & CFD-based quantitative risk assessment of the natural gas explosion in utility tunnels. (December 2022)
- Main Title:
- BN & CFD-based quantitative risk assessment of the natural gas explosion in utility tunnels
- Authors:
- Bai, Yiping
Wu, Jiansong
Sun, Yuxin
Cai, Jitao
Cao, Jiaojiao
Pang, Lei - Abstract:
- Abstract: The utility tunnel hosting the natural gas pipeline raises concerns about the potential gas explosion. Although some work focuses on risk assessment of leakage and explosion of the natural gas in utility tunnels, most of them are conducted by separate methods and do not integrate the process of leakage, dispersion, and explosion. In this work, a Bayesian network (BN) & computational fluid dynamics (CFD)-based quantitative risk assessment of the natural gas explosion in utility tunnels is proposed. By constructing BN to calculate gas leakage probability and applying CFD to simulate the gas dispersion and explosion consequences, the risk of natural gas explosion can be calculated. The possibilities of gas leakage, safety barrier failure, in-tunnel gas dispersion, and delay ignition time are all inputted to gas explosion consequences for both inside and outside areas. The results indicate that the outside risk of in-tunnel explosion cannot be neglected, although the inside risk is generally higher than the outside. And the emergency shutdown system (ESD) failure is the most fatal failure of all safety barriers that should be prevented with the most attention. The proposed model can be applied for the risk management of utility tunnels and other process facilities with hazardous materials inside. Highlights: BN and CFD are synergized to conduct a quantitative risk assessment of natural gas explosions in utility tunnels. Simulation of leakage, dispersion, and explosionAbstract: The utility tunnel hosting the natural gas pipeline raises concerns about the potential gas explosion. Although some work focuses on risk assessment of leakage and explosion of the natural gas in utility tunnels, most of them are conducted by separate methods and do not integrate the process of leakage, dispersion, and explosion. In this work, a Bayesian network (BN) & computational fluid dynamics (CFD)-based quantitative risk assessment of the natural gas explosion in utility tunnels is proposed. By constructing BN to calculate gas leakage probability and applying CFD to simulate the gas dispersion and explosion consequences, the risk of natural gas explosion can be calculated. The possibilities of gas leakage, safety barrier failure, in-tunnel gas dispersion, and delay ignition time are all inputted to gas explosion consequences for both inside and outside areas. The results indicate that the outside risk of in-tunnel explosion cannot be neglected, although the inside risk is generally higher than the outside. And the emergency shutdown system (ESD) failure is the most fatal failure of all safety barriers that should be prevented with the most attention. The proposed model can be applied for the risk management of utility tunnels and other process facilities with hazardous materials inside. Highlights: BN and CFD are synergized to conduct a quantitative risk assessment of natural gas explosions in utility tunnels. Simulation of leakage, dispersion, and explosion of the natural gas in utility tunnels are integrated. The outside risk of in-tunnel natural gas explosion cannot be ignored. … (more)
- Is Part Of:
- Journal of loss prevention in the process industries. Volume 80(2022)
- Journal:
- Journal of loss prevention in the process industries
- Issue:
- Volume 80(2022)
- Issue Display:
- Volume 80, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 80
- Issue:
- 2022
- Issue Sort Value:
- 2022-0080-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Quantitative risk assessment -- Natural gas -- Utility tunnel -- CFD -- Bayesian network (BN)
Chemical industries -- Safety measures -- Periodicals
660.2804 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09504230/ ↗
http://www.journals.elsevier.com/journal-of-loss-prevention-in-the-process-industries/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jlp.2022.104883 ↗
- Languages:
- English
- ISSNs:
- 0950-4230
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.562000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24320.xml