Flame Behavior and Rapid Prediction Under Diverse Fire Environments
A special issue of Fire (ISSN 2571-6255). This special issue belongs to the section "Fire Risk Assessment and Safety Management in Buildings and Urban Spaces".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 52
Special Issue Editors
Interests: jet diffusion flame; fire plume; flame instability behavior; hypergravity flame behavior
2. SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao 266000, China
3. National Registration Center for Chemicals, Ministry of Emergency Management, Qingdao 266000, China
Interests: fire dynamics; turbulent fire; flame behavior; fire risk assessment; fire modeling
Interests: tunnel fires; smoke control; AI; prediction; automatic control
Special Issue Information
Dear Colleagues,
Flame behavior is a core physical phenomenon in fires. Its classical models have been developed based on buoyancy-controlled mixing of fuel and air. However, the complex nature of environmental conditions, multi-scale combustion, and limited datasets present challenges to achieving an accurate fire prediction under diverse fire environments. Specifically, in the case of a fire occurring in high-altitude areas under reduced pressure, environmental wind, confined spaces, and spacecraft with different gravity environments, the process of fuel–air mixing would change fundamentally. Consequently, the evolution of flame behavior is difficult to predict and control under diverse environments, which requires further investigation.
The scope of this Special Issue is to compile the most recent research and advancements of original, fundamental, and applied research of experimental, theoretical, computational, and case studies that contribute towards the special flame and combustion behavior, flame parameters rapid prediction, and artificial intelligence methods under diverse fire environments.
Original research articles, short communications, and review articles are welcome. The topics of this Special Issue include, but are not limited to, the following:
- Special fire and combustion phenomena;
- Flame instability behavior under diverse fire environments;
- Effect of initial momentum, thermal buoyancy, and external inertial force on flame characteristics;
- Rapid prediction method of fire key control parameters;
- Artificial intelligence prediction under diverse fire environments;
- Fire control method under diverse fire environments.
Dr. Jiang Lv
Dr. Yujie Lin
Dr. Yao Hong
Dr. Qiang Wang
Guest Editors
Manuscript Submission Information
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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
- special flame behavior
- flame instability
- rapid prediction
- deep learning model
- fire control
- diverse environments
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