scholarly journals A case study on using the FDS tool for on-site fire investigation

2022 ◽  
Vol 354 ◽  
pp. 00015
Author(s):  
Ligia Ioana Tuhuț ◽  
Vlad Mihai Pasculescu ◽  
Nicolae Ioan Vlasin ◽  
Florin Manea
Keyword(s):  
Open Source Software ◽  
Field Model ◽  
Short Circuit ◽  
Fire Investigation ◽  
Computational Simulations ◽  
Fire Dynamics ◽  
Fire Dynamics Simulator ◽  
Initial Source ◽  
Fire Type

When investigating a fire type event, one has to have in mind that maybe the most important aspect is the identification of the source of ignition. Nowadays, commercial and open-source software are available and can be used during such investigations. The fire field model - Fire Dynamics Simulator (FDS) is one of the most popular numerical model used for fire investigation. The purpose of this paper is to demonstrate the importance of computer simulations when two hypotheses, Arson effect with multiple fireplaces and electric short circuit are taken into consideration as the cause of the fire. To virtually simulate the findings at the fire site, the FDS tool (Computational Fluid Dynamics) was used. Computational simulations for the two scenarios revealed that the multiple fireplaces scenario, the initial ignition at both the warehouse and the roof of the annex, illustrates the effects of the fire in a similar way to those found at the site, while the scenario with the initial source on the wall of the room with the electrical panel produces a fire located at the level of the construction and is not transmitted to the annex. Consequently, the results obtained validate the multiple outbreak (Arson effect) scenario.

A Case Study on a Fire Disaster in a Textile Factory

2015 ◽  
Vol 763 ◽  
pp. 134-139 ◽  
Author(s):  
Cherng Shing Lin ◽  
Min Gen Wu ◽  
Sheng Min Tsai
Keyword(s):  
Focal Point ◽  
Fire Dynamics ◽  
Fire Hazards ◽  
Fire Dynamics Simulator ◽  
Fire Disaster ◽  
Smoke Layer ◽  
Property Losses ◽  
Fire Scene ◽  
Textile Factory

A large number of factories have been sequentially established in Taiwan following the economic take-off several decades ago. However, this growth in number has led to the prevalence of fire hazards. Factory fires typically cause substantial casualties and property losses, and have therefore become a focal point for research. In the present study, the researchers employed the Fire Dynamics Simulator (FDS) software developed by the National Institute of Standards and Technology (NIST) to simulate and evaluate a factory fire scene in Taiwan. The fire continued for approximately 74 h, rendering this outbreak the single longest building fire and rescue in Taiwan. By analyzing relevant data, the researchers established a numerical model of the fire scene to simulate, evaluate, and analyze the influences that temperature, smoke conditions, and smoke layer height parameters had on the fire scene. The findings enabled the researchers to better understand the damage conditions that occur during fire outbreaks. The results of this case study can serve as a reference for designing and improving future fire prevention and safety plans.

Smoke Transport Calculation during a Wooden Residential Structure Fire

2012 ◽  
Vol 249-250 ◽  
pp. 1082-1086 ◽  
Author(s):  
Cherng Shing Lin ◽  
Chia Chun Yu ◽  
Te Chi Chen ◽  
Gracie Bui
Keyword(s):  
Fire Safety ◽  
Structure Type ◽  
Buoyancy Effect ◽  
Military Dependents ◽  
Fire Dynamics ◽  
Thermal Buoyancy ◽  
Fire Dynamics Simulator ◽  
Transport Calculation ◽  
Wooden Structures

This is a case study of cottage housing in Taiwanese military dependents’ villages that are primarily wooden structures with brick walls. When a fire ignited in one of these structures, sufficient air on the exterior of the building promoted the rapid ignition of the wooden structure. Because residents were a woman and child who lacked fire safety and escape knowledge, the fire resulted in two deaths. When fires ignite in wooden structures, toxic particulates in the smoke generated from the burning and decomposition spread rapidly because of thermal buoyancy effect, causing difficulties for escape and rescue. This research utilizes the fire dynamics simulator (FDS) software to simulate the fire scenario to discuss the impacts of smoke diffusion at a fire site and analyze the main causes of the fire. We also provide suggestions in the hope of offering information on fire safety precautions for this structure type to prevent future similar disasters.

Assessment of Fire Dynamics Simulator for Heat Flux and Flame Heights Predictions from Fires in SBI Tests

2008 ◽  
Vol 46 (2) ◽  
pp. 291-306 ◽  
Author(s):  
Jianping Zhang ◽  
Michael Delichatsios ◽  
Matthieu Colobert
Keyword(s):  
Heat Flux ◽  
Fire Dynamics ◽  
Fire Dynamics Simulator

Reusability of open source software across domains: A case study

2017 ◽  
Vol 134 ◽  
pp. 211-227 ◽  
Author(s):  
Maria-Eleni Paschali ◽  
Apostolos Ampatzoglou ◽  
Stamatia Bibi ◽  
Alexander Chatzigeorgiou ◽  
Ioannis Stamelos
Keyword(s):  
Open Source ◽  
Open Source Software

An evaluation of fire-plume properties simulated with the Fire Dynamics Simulator (FDS) and the Clark coupled wildfire model

2006 ◽  
Vol 36 (11) ◽  
pp. 2894-2908 ◽  
Author(s):  
Ruiyu Sun ◽  
Mary Ann Jenkins ◽  
Steven K Krueger ◽  
William Mell ◽  
Joseph J Charney
Keyword(s):  
Fluid Dynamics ◽  
Data Sets ◽  
Fire Plume ◽  
Fire Dynamics ◽  
Fire Model ◽  
Fire Dynamics Simulator ◽  
Physically Based ◽  
Vertical Grid ◽  
Simplifying Assumptions ◽  
Good Agreement

Before using a fluid dynamics physically based wildfire model to study wildfire, validation is necessary and model results need to be systematically and objectively analyzed and compared to real fires, which requires suitable data sets. Observational data from the Meteotron experiment are used to evaluate the fire-plume properties simulated by two fluid dynamics numerical wildfire models, the Fire Dynamics Simulator (FDS) and the Clark coupled atmosphere–fire model. Comparisons based on classical plume theory between numerical model and experimental Meteotron results show that plume theory, because of its simplifying assumptions, is a fair but restricted rendition of important plume-averaged properties. The study indicates that the FDS, an explicit and computationally demanding model, produces good agreement with the Meteotron results even at a relatively coarse horizontal grid size of 4 m for the FDS, while the coupled atmosphere–fire model, a less explicit and less computationally demanding model, can produce good agreement, but that the agreement is sensitive to surface vertical-grid sizes and the method by which the energy released from the fire is put into the atmosphere.

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