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Showing 1 to 13 of 13 for “"fire modeling"”.
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Fire modeling for cook-off in ordnance magazines
… time temperature profile of a missile exposed to fire in a compartment adjacent to the missile magazine is examined. The study required the development of a heat transfer model based on the geometry and thermophysical properties of a new concept for a vertical launching system, the Concentric …
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Integrating remote sensing and terrain data in forest fire modeling
Forest fire policies are changing. Managers now face conflicting imperatives to re-establish pre-suppression fire regimes, while simultaneously preventing resource destruction. They must, therefore, understand the spatial patterns of fires. Geographers can facilitate this understanding by …
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Machine Learning-Driven Uncertainty Quantification and Parameter Analysis in Fire Risk Assessment for Nuclear Power Plants
Fire poses a critical risk to the safe operation of nuclear power plants (NPPs), with electrical cabinet and liquid spill fires being among the most frequent and challenging scenarios to address. Traditional fire risk assessment models often lack precision due to complex physics and inherent …
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Comparing crown fire predictions in ponderosa pine stands among four fire behavior models
Fire and land managers commonly use fire behavior modeling systems to support their planning and decision-making process. Fire modeling systems have been increasingly used across the western United States to plan fuel treatments that reduce hazard fuels, especially as a drier climate has resulted …
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Large Eddy Simulation of Boundary Layer Combustion
… of the near wall physics and the technical modeling challenges it presents. Near wall combustion phenomena is relevant in a variety of combusting environments including but not limited to the occurrence of fire spread, as a result of a heating load to a flammable wall leading to fire growth …
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Uncertainty and sensitivity analysis of a fire-induced accident scenario involving binary variables and mechanistic codes
… (NRC) to a risk-informed, performance-based fire protection rulemaking standard, Fire Probabilistic Risk Assessment (PRA) methods have been improved, particularly in the areas of advanced fire modeling and computational methods. As the methods for the quantification of fire risk are improved, …
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Computational Study of Highway Bridges Structural Response Exposed to a Large Fire Exposure
The exposure from a localized vehicle fire has been observed to produce excessive damage onto highway bridge structural elements including complete collapse of the infrastructure. The occurrence of a fire beneath a bridge can lead to significant economic expense and loss of service even if the …
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Spatio-temporal optimization of tree removal to efficiently minimize crown fire potential
High-intensity wildfires have resulted in large financial, social, and environmental costs in the western U.S. This trend is not expected to decline soon, as there are millions of overstocked hectares at medium to high risk of catastrophic wildfires. Thinning is being widely used to restore …
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Spatio-temporal optimization of tree removal to efficiently minimize crown fire potential
High-intensity wildfires have resulted in large financial, social, and environmental costs in the western U.S. This trend is not expected to decline soon, as there are millions of overstocked hectares at medium to high risk of catastrophic wildfires. Thinning is being widely used to restore …
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Advancing Coupled Fire-Atmosphere Simulation: Fuel Representation and Fire Spotting
Wildland fires can lead to substantial ecological, social, and economical losses as well as health burdens due to smoke produced from biomass burning. Accurate wildland fire simulation is an essential capability in predicting and managing these losses, benefiting both pre-fire risk mitigation and …
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Applications of Remote Sensing and GIS to Modeling Fire for Vegetative Restoration in Northern Arizona
An accurate fire model is a useful tool in predicting the behavior of a prescribed fire. Simulation of fire requires an extensive amount of data and can be accomplished best using GIS applications. This paper demonstrates integrative procedures of using of ArcGIS™, ERDAS Imagine™, GPS, and FARSITE© …