Assessment of ventilation efficiency for emergency situations in subway systems by CFD modeling

Teodosiu, Cătălin; Ilie, Viorel; Dumitru, Radu; Teodosiu, Raluca

doi:10.1007/s12273-015-0269-9

Cited by 26 publications

(12 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Integrated utilization of mechanical and natural ventilation effectively inhibit fire smoke dispersions and decrease toxic substance concentrations [290]. Smoke exhaust systems in tunnels and platforms can operate collaboratively to deal with different situations [291]. Meanwhile, smoke control systems in subways consist of tunnel ventilation fans, under platform exhaust systems, smoke evacuating gates, and platform edge doors.…”

Section: Mitigation Measuresmentioning

confidence: 99%

Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review

Wen

Leng

Shen

et al. 2020

IJERPH

View full text Add to dashboard Cite

Environmental health in subway stations, a typical type of urban underground space, is becoming increasingly important. Ventilation is the principal measure for optimizing the complex physical environment in a subway station. This paper narratively reviews the environmental and health effects of subway ventilation and discusses the relevant engineering, environmental, and medical aspects in combination. Ventilation exerts a notable dual effect on environmental health in a subway station. On the one hand, ventilation controls temperature, humidity, and indoor air quality to ensure human comfort and health. On the other hand, ventilation also carries the potential risks of spreading air pollutants or fire smoke through the complex wind environment as well as produces continuous noise. Assessment and management of health risks associated with subway ventilation is essential to attain a healthy subway environment. This, however, requires exposure, threshold data, and thereby necessitates more research into long-term effects, and toxicity as well as epidemiological studies. Additionally, more research is needed to further examine the design and maintenance of ventilation systems. An understanding of the pathogenic mechanisms and aerodynamic characteristics of various pollutants can help formulate ventilation strategies to reduce pollutant concentrations. Moreover, current comprehensive underground space development affords a possibility for creating flexible spaces that optimize ventilation efficiency, acoustic comfort, and space perception.

show abstract

Section: Mitigation Measuresmentioning

confidence: 99%

Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review

Wen

Leng

Shen

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Xie [10] established a fire risk assessment model for subway operations based on group topologizable fuzzy theory and used fuzzy mathematics and topologizable theory to make a comprehensive assessment of six aspects including fire sources, fire performance, fire extinguishing capability, evacuation capability, safety management situation, and environment in subway stations. Teodosiu [11] studied subway fires from three points of view: fuel content, safety management and evacuation of personnel and passengers, and the safety of train equipment. Fridolf [12] analyzed the main influencing factors of subway fires from 21 categories of personnel, equipment, management, and environment and established a subway fire risk assessment model through neural networks.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Developing a Subway Fire Risk Assessment Model Based on Analysis Theory

Yan

Wang

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to effectively reduce the risk of subway fires and to improve the safety of passengers, a review of the background to subway fires employing literature and comparative analyses, computer simulation, expert consultation, and other research methods has been employed to conduct an in-depth study of subway fire risk assessment and control measures. A subway fire risk assessment model based on analysis theory was established. Firstly, a subway fire risk evaluation index system was developed, and the weight values of each level were determined using the interval analytic hierarchy process (IAHP), then the evaluation was derived using the fuzzy evaluation method, and the passenger distribution simulation was introduced to improve the objectivity of the evaluation. The results show that the fire evaluation of this subway system is safe. The results show that a subway fire risk assessment model may provide a scientific basis for establishing prevention and control measures, extinguishing methods, passenger safety evacuation schemes, and carrying out fire safety management activities during subway operations.

show abstract

“…Recently, with the development of computer science and technology, and numerical methodologies, numerical tools have been a popular way to investigate subway station fires. Many computational fluid dynamic (CFD) models or software, such as FLUENT, and FDS, among others, are widely used in analyzing fire smoke evolution in subway stations and tunnels [7][8][9][10][11][12][13]. CFD-based simulations can reproduce well the evolution process of subway station fires if appropriate initial and boundary conditions are implemented.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Underground Subway Stations to Fire Disasters Using Bayesian Network

Chen

et al. 2018

Sustainability

View full text Add to dashboard Cite

Subway station fires often have serious consequences because of the high density of people and limited number of exits in a relatively enclosed space. In this study, a comprehensive model based on Bayesian network (BN) and the Delphi method is established for the rapid and dynamic assessment of the fire evolution process, and consequences, in underground subway stations. Based on the case studies of typical subway station fire accidents, 28 BN nodes are proposed to represent the evolution process of subway station fires, from causes to consequences. Based on expert knowledge and consistency processing by the Delphi method, the conditional probabilities of child BN nodes are determined. The BN model can quantitatively evaluate the factors influencing fire causes, fire proof/intervention measures, and fire consequences. The results show that the framework, combined with Bayesian network and the Delphi method, is a reliable tool for dynamic assessment of subway station fires. This study could offer insights to a more realistic analysis for emergency decision-making on fire disaster reduction, since the proposed approach could take into account the conditional dependency in the fire propagation process and incorporate fire proof/intervention measures, which is helpful for resilience and sustainability promotion of underground facilities.

show abstract

Assessment of ventilation efficiency for emergency situations in subway systems by CFD modeling

Cited by 26 publications

References 26 publications

Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review

Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review

Developing a Subway Fire Risk Assessment Model Based on Analysis Theory

Risk Assessment of Underground Subway Stations to Fire Disasters Using Bayesian Network

Contact Info

Product

Resources

About