L-Shaped Building Fire Scenarios Simulated with FDS for Multi-Factor Coupling Analysis

Qin Zhang constructed a parameterized fire scenario database using FDS (Fire Dynamics Simulator) software. The dataset simulates factors like initial fire location, floor height, and wind direction to analyze smoke diffusion and fire spread in an L-shaped building. It was last updated on April 13, 2026, and is licensed under CC-BY-4.0.

Use Cases

• Modeling asymmetric smoke diffusion patterns based on L-shaped building geometry
• Analyzing multi-factor coupling effects on fire spread based on simulated ignition location and wind direction
• Optimizing dynamic escape route generation based on time-dependent smoke propagation in staircases and corridors
• Supporting fire risk assessment and emergency response planning based on simulated spatial distribution of fire smoke

Strengths

• Dataset is based on simulations from the established FDS (Fire Dynamics Simulator) software
• Explicitly models multi-factor coupling effects, including wind direction and ignition floor height
• Focuses on time-dependent variations of smoke propagation in specific building elements
• License is clearly defined as CC-BY-4.0, permitting reuse with attribution

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope or a highly summarized dataset
• Row count and column-level documentation are absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality and structure require manual inspection

Provenance

Source

Qin Zhang via figshare

Collection Method

Constructed using FDS fire simulation software combined with experimental data for multi-factor coupling analysis.

Time Range

The simulation time range is not specified in the input.

Freshness

Last updated 2026-04-13 17:29:44; freshness should be verified

Geography

The geographic coverage of the simulated building is not specified in the input.