Heat Release Analysis of Fires

A special issue of Fire (ISSN 2571-6255). This special issue belongs to the section "Mathematical Modelling and Numerical Simulation of Combustion and Fire".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 1742

Special Issue Editors


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Guest Editor
Department of Fire Protection Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: intelligent fire protection; tunnel fire; safety engineering; evacuation; emergency rescue technology
Special Issues, Collections and Topics in MDPI journals
Department of Fire Protection Engineering, Southwest Jiaotong University, Chengdu, China
Interests: tunnel fire; wildland fire; fire dynamics
Special Issues, Collections and Topics in MDPI journals
School of Safety Engineering, China University of Mining and Technology, Xuzhou, China
Interests: tunnel fire; ventilation; fire dynamic
Department of Fire Protection, Southwest Jiaotong University, Chengdu, China
Interests: tunnel fire; ceiling jet; fire plume

Special Issue Information

Dear Colleagues,

The knowledge of heat release from fires is the basis for predicting their posed hazards. Although various efforts have been made by pioneering studies, there are still challenges to predicting heat release in complex fire scenarios, achieving a real-time prediction of heat release, etc. In recent years, the development of new detection technology and computing technology has provided a powerful tool for solving the above problems. This Special Issue wishes to provide insights into the frontiers of the latest advances in the heat release prediction of fire. Both original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • machine learning-based methods for heat release prediction;
  • fire behavior prediction of windland fire, tunnel fire, etc.;
  • the burning rate and mechanisms of complex fire scenarios;
  • case studies of real fire scenarios with heat release analysis;
  • fire modeling and computer codes.

We look forward to receiving your contributions.

Prof. Dr. Yuchun Zhang
Dr. Yunji Gao
Dr. Lu He
Dr. Haowen Tao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fire behavior
  • heat release and transfer
  • machine learning
  • fire modeling
  • heat transfer mechanism
  • fire dynamics

Published Papers (1 paper)

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Research

15 pages, 3346 KiB  
Article
A Study on the Behavior Characteristics of Air Supply during Tunnel Fires under Natural Ventilation with Multiple Vertical Shafts
by Lu He, Yuyang Ming, Ke Liao, Haojun Zhang, Chenhao Jia, Guoqing Zhu and Haowen Tao
Fire 2023, 6(10), 393; https://doi.org/10.3390/fire6100393 - 13 Oct 2023
Viewed by 1317
Abstract
This study investigates the behavior of air supply in tunnels with multiple vertical shafts during fire incidents, focusing on natural ventilation dynamics. Numerical simulation is utilized to analyze the effect of different variables on air supply within vertical shafts. The findings reveal that [...] Read more.
This study investigates the behavior of air supply in tunnels with multiple vertical shafts during fire incidents, focusing on natural ventilation dynamics. Numerical simulation is utilized to analyze the effect of different variables on air supply within vertical shafts. The findings reveal that the position of the smoke front significantly influences the direction and flow rate of gases during fire development. The mass flow rate of air supply during the stable fire development stage is influenced by the geometric size and positioning of vertical shafts, with shafts closer to the fire source exhibiting higher air flow rates. To address this issue, this study introduces a predictive model for estimating air flow rates in vertical shafts. This model exhibits a high level of accuracy when compared to simulations, offering a reliable method for predicting air flow rates based on the geometric characteristics of vertical shafts. Overall, this research contributes to understanding the complexities of air supply in tunnels with multiple vertical shafts, aiding in the improvement of natural ventilation strategies during fire incidents. Full article
(This article belongs to the Special Issue Heat Release Analysis of Fires)
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