2018
DOI: 10.1016/j.tust.2018.08.020
|View full text |Cite
|
Sign up to set email alerts
|

Applying a stochastic-based approach for developing a quantitative risk assessment method on the fire safety of underground road tunnels

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
13
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 38 publications
(14 citation statements)
references
References 36 publications
0
13
0
Order By: Relevance
“…In order to measure the temperature distributions in the ceiling jet, 100 K-type thermocouples of 1 mm diameter were placed at 0.015 m below the ceiling. 4 to ensure that the flames generated in the experiment were turbulent. In the experiment, heat flux data was collected in the stable section and the measurement time was 2 minutes.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to measure the temperature distributions in the ceiling jet, 100 K-type thermocouples of 1 mm diameter were placed at 0.015 m below the ceiling. 4 to ensure that the flames generated in the experiment were turbulent. In the experiment, heat flux data was collected in the stable section and the measurement time was 2 minutes.…”
Section: Methodsmentioning
confidence: 99%
“…Fires in reduced scale channels are often used to mimic fire scenarios in tunnels [1,2], corridors [3] and underground spaces [4,5]. The safety and security problems for such fires have raised widespread concern.…”
Section: Introductionmentioning
confidence: 99%
“…A risk assessment is a multicriteria process that requires a network approach for process and hazards identification. The followed events are systematically analysed with a Bayesian network, events tree, faults tree and other well-known approaches [2,3]. The gap in most risk assessment approaches is the connection between a systematic risk identification and a precise calculation of fire consequences.…”
Section: Introductionmentioning
confidence: 99%
“…In their study, Aderbag et al [34] analyzed cost and schedule risks of a housing construction project using a Monte Carlo simulation-based approach, while Walȩdzik and Mańdziuk [35] proposed an algorithmic approach based in Monte Carlo Tree Search to solve the Risk-Aware Project Scheduling Problem, which is a stochastic extension of the classic Resource Constrained Project Scheduling Project (RCPSP). Also, Ntzeremes and Kirytopoulos [36] proposed a new stochastic method for quantitative fire risk assessment in underground road tunnels.…”
Section: Introductionmentioning
confidence: 99%