A volume of fluid-enhanced-discrete phase model algorithm for water dropping simulation of firefighting aircraft

The water-dropping of firefighting aircraft is a complex gas–liquid two-phase process generating multi-scale droplets, and its accurate simulation is vital for assessing fire-extinguishing performance. Mesh-based methods (Volume of Fluid, VOF) capture interfaces accurately but are computationally expensive for large-scale problems, whereas meshless methods, such as the discrete phase model (DPM), efficiently simulate droplet motion but fail to describe breakup dynamics. This study proposes an enhanced DPM that incorporates a Weber number-based breakup criterion, allowing droplet splitting and a more realistic splashing evolution. The model is validated against water jet experiments, which show high consistency in liquid column formation and droplet breakup. A VOF-enhanced-DPM algorithm is further established to simulate the overall water-dropping morphology of firefighting aircraft, and the enhanced-DPM is independently applied to analyze water landing distribution under varying discharge volumes, heights and velocities, and to compare the effective fire-extinguishing range. Results demonstrate that the VOF-enhanced-DPM algorithm provides reliable precision simulations. In addition, the enhanced-DPM achieves a balance between computational efficiency and predictive accuracy in large-scale water-dropping applications.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2026-04-01
DOI
https://doi.org/10.1063/5.0311627
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A volume of fluid-enhanced-discrete phase model algorithm for water dropping simulation of firefighting aircraft

Xinzhe Chang, Fei Xu
Physics of Fluids
Fluid Dynamics and Heat Transfer
article

A volume of fluid-enhanced-discrete phase model algorithm for water dropping simulation of firefighting aircraft

Xinzhe Chang, Fei Xu
article en

Abstract

The water-dropping of firefighting aircraft is a complex gas–liquid two-phase process generating multi-scale droplets, and its accurate simulation is vital for assessing fire-extinguishing performance. Mesh-based methods (Volume of Fluid, VOF) capture interfaces accurately but are computationally expensive for large-scale problems, whereas meshless methods, such as the discrete phase model (DPM), efficiently simulate droplet motion but fail to describe breakup dynamics. This study proposes an enhanced DPM that incorporates a Weber number-based breakup criterion, allowing droplet splitting and a more realistic splashing evolution. The model is validated against water jet experiments, which show high consistency in liquid column formation and droplet breakup. A VOF-enhanced-DPM algorithm is further established to simulate the overall water-dropping morphology of firefighting aircraft, and the enhanced-DPM is independently applied to analyze water landing distribution under varying discharge volumes, heights and velocities, and to compare the effective fire-extinguishing range. Results demonstrate that the VOF-enhanced-DPM algorithm provides reliable precision simulations. In addition, the enhanced-DPM achieves a balance between computational efficiency and predictive accuracy in large-scale water-dropping applications.

Physics of FluidsVol. 38(4)
Northwestern Polytechnical University (CN), Universidad Politécnica de Madrid (ES), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, China Scholarship Council
Clean water and sanitation
Openalex Percentile: Top 34%
Fluid Dynamics and Heat Transfer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.