Fire Modeling to Prevent Fires and Mitigate Damages

Modeling Fire Behavior for Prevention and Mitigation

Today, a wide array of sophisticated computer-based algorithms provide fire investigators, fire protection engineers and risk management professionals with the ability to model fire behaviors that can help prevent fires in the first place and mitigate the human casualties and property damage they cause in the event that prevention fails. To learn more about these valuable technological resources, the purpose of this paper is to identify appropriate computational models for simulating fire spread, predicting fire behavior, and informing emergency response strategies. The paper introduces the topic with an overview of fire modeling, following by a discussion concerning how these methods can prevent fires and help mitigate the damage they cause in the event the prevention fails. Following this review, the paper presents a summary of findings that emerged from the research in the conclusion.

Overview of Fire Modeling

Fires pose a significant threat to society and safety, with a staggering 135,000 reported incidents occurring globally each day, according to the World Fire Statistics Center in 2020 (Cablé and Manescau 2020). These events have far-reaching consequences, severely impacting human lives and well-being. They contribute to massive air pollution levels, exacerbate carbon emissions, and lead to the irreplaceable destruction of natural and cultural treasures. In the face of the ongoing climate crisis, it has become imperative to devise and implement comprehensive preventive strategies and protective measures to combat the life-threatening dangers of fire effectively (Cablé and Manescau).

As the term connotes, fire modeling is a method that seeks to predict how fires start and what fires may do in any given situation. For instance, according to Aumond (2024), “Fire modeling is a computational technique used to simulate and predict the behavior of fires in various environments involv[ing] the application of mathematical equations and computer algorithms to replicate the complex physical and chemical processes that occur during a fire” (4). Some of the most widely used and recently developed fire modeling applications at present include those created in collaboration with the Fire Research Division of the National Institute of Standards and Technology (NIST) as follows:

· Fire Dynamics Simulator (FDS). This application is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The software solves numerically a form of the Navier-Stokes equations appropriate for low-speed, thermally-driven flow, with an emphasis on smoke and heat transport from fires (Fire Modeling Programs 2024, 4). This validated application is currently the most widely used for fire suppression analyses (Bellas et al. 2020).

· Consolidated Model of Fire and Smoke Transport (CFAST). This application is a two-zone fire model used to calculate the evolving distribution of smoke, fire gases and temperature throughout compartments of a building during a fire (Fire Modeling Programs 2024, 4).

· Pyrosim. This application is a graphical user interface for the FDS software, designed to facilitate the creation, simulation and analysis of fire scenarios in buildings and other structures (Aumond 2023, 10).

Beyond the foregoing recent additions, the NIST also maintains a comprehensive listing of other fire modeling applications with proven efficacy, including specialty areas such as calculating temperatures and positions of hot smoke layers in confined spaces, effective elevator evacuation approaches, analyses of sprinkler responses, and best strategies for breaking window glass in a compartment fire (Fire Modeling Programs). In other words, fire modeling techniques provide the ability to replicate the manner in which fires start and spread in ways that can help identify opportunities for prevention and, in the event that fires do occur, optimal methods for mitigating the human casualties and property damage they can cause and these issues are discussed further below.

How Modeling Can Prevent Fires

Fire modeling plays a crucial role in preventing fires and mitigating their devastating consequences. By employing advanced computational techniques and simulations, fire models can accurately predict fire behavior, spread patterns, and potential impacts. These models take into account various factors, such as fuel sources, weather conditions, terrain characteristics, and building materials, allowing for a comprehensive understanding of fire dynamics (Yang et al. 2018).

Through fire modeling, experts can identify high-risk areas in buildings of all types and configurations and simulate different scenarios, thereby enabling proactive measures to be taken. For instance, fire models can guide the development of effective evacuation plans, optimize the placement of fire stations and resources, and inform the design of fire-resistant buildings and infrastructure. In addition, fire models also play a crucial role in wildland fire management, assisting in the planning of controlled burns, fuel reduction strategies, and the deployment of firefighting resources (Yang et al.).

Furthermore, fire modeling contributes to the improvement of fire codes and regulations by providing valuable insights into the potential vulnerabilities of existing structures and the effectiveness of fire safety systems. Likewise, these models can also guide the development of innovative fire suppression technologies and the training of firefighters, enhancing their preparedness and response capabilities (Cablé and Manescau).

In addition, and although every scenario is unique in some ways, there are some shared characteristics that provide some useful indications concerning how modeling can help prevent fires. For example, natural gas jet fires caused by ignited blowouts on offshore platforms pose a severe risk of structural damage and human casualties. Accurately predicting the real-time behavior of these jet fire plumes is crucial for effective emergency planning and mitigating subsequent harm and environmental pollution (Xie et al. 2023).

Recent advancements have leveraged deep learning techniques trained on large datasets from computational fluid dynamics (CFD) simulations to model fire dynamics in real-time. Likewise, existing approaches based on point estimation theory have been expanded through the addition of a numerical model that simulates various jet fire scenarios from offshore platforms that can help identify potential combustion sources (Xie et al. 2023). In sum, fire modeling in this instance provides valuable insights into the potential origins of fire that might not otherwise be possible (Xie et al.).

How Modeling Can Mitigate the Damage Caused by Fires

Although fire prevention is the overarching goal of fire modeling, destructive fires may still occur. Therefore, an important function of fire modeling is helping to mitigate the adverse effects that are caused by fires. For this purpose, Garcia et al. (2018) recommend using fire modeling methods to help educate young people concerning how best to extricate themselves from a fire situation using the most efficient means available. This type of education is especially important for young people who suffer from developmental or cognitive disabilities who might otherwise panic in these types of situations. In addition, fire modeling can also help identify optimal egress paths, signage locations and egress path capacities during fires which can vary depending on the precise circumstances, including the presence of smoke or other toxic emissions (Cablé and Manescau).