Academic literature on the topic 'Fire Simulator'

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Journal articles on the topic "Fire Simulator"

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Trucchia, Andrea, Mirko D’Andrea, Francesco Baghino, Paolo Fiorucci, Luca Ferraris, Dario Negro, Andrea Gollini, and Massimiliano Severino. "PROPAGATOR: An Operational Cellular-Automata Based Wildfire Simulator." Fire 3, no. 3 (July 6, 2020): 26. http://dx.doi.org/10.3390/fire3030026.

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PROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation, conceived as a rapid method for fire risk assessment. The model uses high-resolution information such as topography and vegetation cover considering different types of vegetation. Input parameters are wind speed and direction and the ignition point. Dead fine fuel moisture content and firebreaks—fire fighting strategies can also be considered. The fire spread probability depends on vegetation type, slope, wind direction and speed, and fuel moisture content. The fire-propagation speed is determined through the adoption of a Rate of Spread model. PROPAGATOR simulates independent realizations of one stochastic fire propagation process, and at each time-step gives as output a map representing the probability of each cell of the domain to be affected by the fire. These probabilities are obtained computing the relative frequency of ignition of each cell. The model capabilities are assessed by reproducing a set of past Mediterranean fires occurred in different countries (Italy and Spain), using when available the real fire fighting patterns. PROPAGATOR simulated such scenarios with affordable computational resources and with short CPU-times. The outputs show a good agreement with the real burned areas, demonstrating that the PROPAGATOR can be useful for supporting decisions in Civil Protection and fire management activities.
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Lee, J., M. Lee, and C. Jun. "FIRE EVACUATION SIMULATION CONSIDERING THE MOVEMENT OF PEDESTRIAN ACCORDING TO FIRE SPREAD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W9 (October 30, 2018): 273–81. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w9-273-2018.

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<p><strong>Abstract.</strong> A fire simulator and an evacuation simulator are generally used independently to diagnose the safety of a building in the case of the fire and evacuation. However, it is hard to provide highly accurate safety diagnosis with this method because it does not reflect the movement of pedestrians in the situation of a fire. Therefore, this study proposed a fire evacuation simulation technique that can describe the movement of pedestrians with considering the fire spread. The proposed simulation technique applies the fire spread data of the fire dynamics simulator (FDS) to the floor field model (FFM) and it models that pedestrians recognizes the fire and take a detour to a safe route. This study proposed a method to link the data between FDS and FFM and an improved FFM considering fire spread. Additionally, the proposed method was applied to a real building on a university campus. This study simulated evacuations under various scenarios. Simulation results showed that the number of evacuees escaping through each exit varied by the presence of fire. Moreover, it was found that the evacuation time was increased or decreased by the fire and bottleneck phenomenon was also worsened under fire situation.</p>
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Kelso, Joel K., Drew Mellor, Mary E. Murphy, and George J. Milne. "Techniques for evaluating wildfire simulators via the simulation of historical fires using the AUSTRALIS simulator." International Journal of Wildland Fire 24, no. 6 (2015): 784. http://dx.doi.org/10.1071/wf14047.

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A methodology for validating fire spread simulation systems using historical fire data is presented. The key features of this methodology are (a) quantitative comparison between simulator-generated fire perimeters and fire perimeters from an independently produced fire reconstruction at multiple time points during the fire, and (b) extensive sensitivity analyses on simulation variables including simulation spatial resolution, weather, vegetation coverage and fire behaviour model selection to determine the effect of each simulation input on the simulation output. The methodology is demonstrated in a case study in which the ability of the Australis high-performance wildfire simulator to replicate a large wildfire in Western Australia was examined. Simulation accuracy was found to be lower in extreme fire danger conditions and exhibited under-prediction of the head fire rate of spread. This was caused by inaccuracies in at least one of wind speed data, vegetation data or the fire behaviour model applied; however, the source of the inaccuracy could not be further diagnosed with the available data. The gathering of accurate data during and after active wildfires would facilitate more rigorous simulator and fire behaviour model validation studies as well as more accurate prediction of ‘live’ wildfires.
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Johnston, Paul, Joel Kelso, and George J. Milne. "Efficient simulation of wildfire spread on an irregular grid." International Journal of Wildland Fire 17, no. 5 (2008): 614. http://dx.doi.org/10.1071/wf06147.

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A cell-based wildfire simulator that uses an irregular grid is presented. Cell-based methods are simpler to implement than fire front propagation methods but have traditionally been plagued by fire shape distortion caused by the fire only being able to travel in certain directions. Using an irregular grid randomises the error introduced by the grid, so that the shape of simulated fire spread is independent of the direction of the wind with respect to the underlying grid. The cell-based fire spread simulator is implemented using discrete event simulation, which is a much more efficient computational method than conventional wildfire simulation techniques because computing resources are not used in repeatedly computing small updates to parts of the fire whose dynamics change infrequently, namely those areas of a fire that move slowly. The resulting simulator is comparable in accuracy with traditional fire front propagation schemes but is much faster and can therefore be used as an engine for fire simulation applications that require large numbers of simulations, such as in the role of a risk analysis engine.
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Bao, Yan Qing. "Study on Fire Prevention Performance-Based Design of a Large Underground Banquet Hall." Applied Mechanics and Materials 94-96 (September 2011): 2065–69. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.2065.

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There is large fires risk and difficult evacuation in underground buildings, so it is necessary to study the development of fire and evacuation procedure in underground building. In this paper, a large underground banquet hall was chosen as an example, evacuation safety in the hall was analyzed by numerical simulation. First of all, fire model and two fire scenes were set up by using the software Fire Dynamics Simulator. Then the process of fire spread was reappeared by numerical simulation, and evacuation process was simulated by using the software PathFinderTM. By comparison with both result, it was proved that there is safe personnel evacuation in the case of effective fire-fighting facilities. According to the simulation results, reasonable recommendations about fire safety of the large banquet hall was proposed. The research will contribute to fire prevention and architecture design.
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Khan, Easir A., Mohammad Abir Ahmed, Emamul Haque Khan, and Suvash C. Majumder. "Fire Emergency Evacuation Simulation of a shopping mall using Fire Dynamic Simulator (FDS)." Journal of Chemical Engineering 30, no. 1 (December 7, 2017): 32–36. http://dx.doi.org/10.3329/jce.v30i1.34795.

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Fire accident in a shopping mall, garments factory and other labor intensive industries nowadays has become a common incident in Bangladesh and poses a great threat to life, facilities and economy of our country. In this work, fire and evacuation simulation was performed for a single stored shopping complex utilizing computational fluid dynamic techniques. Fire Dynamic Simulator with evacuation (FDS+Evac) software was used to simulate a shopping mall fire and study the effects of fire on the emergency egress process of people. The shopping mall of area 64 m2 comprises of seven rooms with a pool fire at the center of the mall is modeled for simulation. The total evacuation time (TET) for a fixed population density were estimated with the change of heat release rate, soot yield, soot density and the design pattern or geometry of shopping mall. The evacuation of agents in different time and different design pattern of the mall has been assessed using the data obtained from the simulation. FDS+Evac provides an integrating platform where the interaction between fire growth and evacuees can be taken into account by simultaneous simulation allowing a full coupling of the fire conditions and human behavior. This makes FDS is an effective tool for simulating large and high density crowds where the movement dynamics of evacuees is affected by the crowd pressure. Full scale fire experiment is often quite difficult to study the fine and crowds evacuation behavior. This paper illustrates a promising application of fire dynamic simulator (FDS+Evac) for fire and evacuation modeling to predict the total evacuation time.Journal of Chemical Engineering, Vol. 30, No. 1, 2017: 32-36
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Valasek, Lukas, and Jan Glasa. "On Realization of Cinema Hall Fire Simulation Using Fire Dynamics Simulator." Computing and Informatics 36, no. 4 (2017): 971–1000. http://dx.doi.org/10.4149/cai_2017_4_971.

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Jahdi, R., M. Salis, A. A. Darvishsefat, M. A. Mostafavi, F. Alcasena, V. Etemad, O. Lozano, and D. Spano. "Calibration of FARSITE simulator in northern Iranian forests." Natural Hazards and Earth System Sciences 15, no. 3 (March 6, 2015): 443–59. http://dx.doi.org/10.5194/nhess-15-443-2015.

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Abstract. Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where the simulators were originally developed. This study aims to calibrate the FARSITE fire spread model considering a set of recent wildfires that occurred in northern Iranian forests. Site-specific fuel models in the study areas were selected by sampling the main natural vegetation type complexes and assigning standard fuel models. Overall, simulated fires presented reliable outputs that accurately replicated the observed fire perimeters and behavior. Standard fuel models of Scott and Burgan (2005) afforded better accuracy in the simulated fire perimeters than the standard fuel models of Anderson (1982). The best match between observed and modeled burned areas was observed on herbaceous fuel models. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior in the study areas. This work represents a first step in the application of fire spread modeling in northern Iran for wildfire risk monitoring and management.
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Jahdi, R., M. Salis, A. A. Darvishsefat, F. J. Alcasena Urdiroz, V. Etemad, M. A. Mostafavi, O. M. Lozano, and D. Spano. "Calibration of FARSITE fire area simulator in Iranian northern forests." Natural Hazards and Earth System Sciences Discussions 2, no. 9 (September 30, 2014): 6201–40. http://dx.doi.org/10.5194/nhessd-2-6201-2014.

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Abstract. Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where the simulators were originally developed. This study aims to calibrate FARSITE fire spread model considering a set of recent wildfires occurred in Northern Iran forests. Site specific fuel models in the study areas were selected by sampling the main natural vegetation type complexes and assigning standard fuel models. Overall, simulated fires presented reliable outputs that accurately replicated the observed fire perimeters and behavior. Standard fuel models of Scott and Burgan (2005) afforded better accuracy in the simulated fire perimeters than the standard fuel models of Anderson (1982). The best match between observed and modeled burned areas was observed on herbaceous type fuel models. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior in the study areas. This work represents a first step in the application of fire spread modeling on Northern Iran for wildfire risk monitoring and management.
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Santoni, Paul-Antoine, Jean-Baptiste Filippi, Jacques-Henri Balbi, and Frédéric Bosseur. "Wildland Fire Behaviour Case Studies and Fuel Models for Landscape-Scale Fire Modeling." Journal of Combustion 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/613424.

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This work presents the extension of a physical model for the spreading of surface fire at landscape scale. In previous work, the model was validated at laboratory scale for fire spreading across litters. The model was then modified to consider the structure of actual vegetation and was included in the wildland fire calculation system Forefire that allows converting the two-dimensional model of fire spread to three dimensions, taking into account spatial information. Two wildland fire behavior case studies were elaborated and used as a basis to test the simulator. Both fires were reconstructed, paying attention to the vegetation mapping, fire history, and meteorological data. The local calibration of the simulator required the development of appropriate fuel models for shrubland vegetation (maquis) for use with the model of fire spread. This study showed the capabilities of the simulator during the typical drought season characterizing the Mediterranean climate when most wildfires occur.
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Dissertations / Theses on the topic "Fire Simulator"

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Zacharoff, Hugo. "Simulating cable fires in Fire Dynamics Simulator : Based on small scale testing in cone calorimeter." Thesis, Luleå tekniska universitet, Byggkonstruktion och brand, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85995.

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In a society increasingly more influenced by technology and electricity, electrical and computer cables will play a more vital role in humans’ everyday life. With an increasing number of cables being introduced into society, the risk of fires caused by or involving cables will increase and become a more common danger to property and human lives. The fire properties of cables are tested according to Standard EN 50399 where vertically mounted cables are exposed to a burner for 20 minutes. The present work consists of running simulations imitating the conditions of Standard EN 50399 for testing cables using a Computational Fluid Dynamics program called Fire Dynamic Simulator (FDS). The general idea was to test the material in small-scale and running simulations to verify how well simulated values corresponded to values from actual testing, providing a potential less costly method of predicting the correct Euroclass in the development phase of new cables. During a visit at RISE in Borås, material for testing and a script previously used for testing a module of EN 50399 in FDS were obtained from previous work. The FDS script was later altered by adjusting the meshes inside the model in an effort to reduce simulation time. This was done by prioritizing smaller grid cells in high activity areas and using large grid cells in low activity areas. To verify the function of the model on the current version 7.5.0 of the FDS software, simulations were run empty without modelling the cables. To validate the FDS-model, temperatures were measured at four heights using a resemble of plate thermometers and the results were compared to older temperature measurements from an actual experiment using plate thermometers in the apparatus used at RISE when testing in the EN 50399 apparatus. To obtain the material data necessary for FDS, the material used as cable sheeting (surrounding the conductive metal core) molded into thin square plates were tested using a cone calorimeter at Luleå University of Technology. Two tests were conducted at irradiance levels of 50 and 25 kW/m2 where heat release rate was measured. Thenceforth followed 14 repeated tests at varying irradiance levels with the sole purpose of measuring time to ignition. In total 16 experiments were conducted, of which ten resulted in ignition, four of which did not ignite after exposure for 20 minutes and two which were interrupted due to swelling of the sample. After testing in the cone calorimeter, a critical irradiance level and ignition temperature of the material were verified using a theory presented by Janssens (1991). Two ramps – a controlled way of determining the materials heat release over time in FDS – were created based on the two tests at different irradiance levels. Using these new parameters simulations recreating the scenario for testing according to EN 50399 were run using FDS. Three simulations were run, testing different ramps and different implementations of the cables. The results proved it difficult to achieve the same heat release rate for cables simulated using FDS as heat released rate measured at experiments. With the simulations results at hand, in combination with uncertainties regarding material data it became clear the material had proven more difficult then anticipated. A possible reason for the big gap in heat release rate between simulations and experimental values could be considered to be the high ignition temperature given as material input for the cable in FDS.
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Schagerström, Lukas. "Valideringsstudie av Multi-Zone Fire Model." Thesis, Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-78682.

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Det finns ett flertal brandsimuleringsprogram på marknaden som används i olika utsträckning varav ett är Fire Dynamics Simulator (FDS). En av nackdelarna med FDS är att det kan ta mycket tid att göra en brandsimulering. Det finns brandsimuleringsprogram som med stor sannolikhet utför brandsimuleringar snabbare än FDS. För några av dessa brandsimuleringsprogram finns det inte någon dokumentation om hur resultaten som brandsimuleringsprogrammen producerar ställer sig mot det som skulle hända i verkligheten vid en brand, något som kallas att vara valideratdet vill säga programmen är inte validerade. Ett av dessa brandsimuleringsprogram är Multi-Zone Fire Model (MZ-Fire Model). Brandsimuleringsprogrammet MZ-Fire Model bygger på ett multizonkoncept framtaget av Suzuki et al. Multizonkonceptet har validerats i tidigare studier varav ett är en brand i tunnel men även bränder i mindre lokaler har prövats. Det finns utrymme för ökad kunskap om hur multizonkonceptet hanterar bränder i stora rumslokaler då det inte finns någon känd dokumentation kring detta. Det finns i dagsläget inte en enda studie som behandlar brandsimuleringsprogrammet MZ-Fire Model. I rapporten redogörs för simulerande av en brand i 4 olika rum av brandsimuleringsprogrammen MZ-Fire Model och FDS, dess simulerade värden är sedan jämförda mot varandra.
There are a number of fire simulation programs on the market that are used to varying degrees, one of which is Fire Dynamics Simulator (FDS). One of the disadvantages of FDS is that it can take a lot of time to do a fire simulation. There are fire simulation programs that are very likely to perform fire simulations faster than FDS. For some of these fire simulation programs, there is no documentation on how the results produced by the programs compare with what would happen in the event of a real fire, something called to bethat is they are not validated. One of these fire simulation programs is Multi-Zone Fire Model (MZ-Fire Model). The fire simulation program MZ-Fire Model is based on a multi-zone concept developed by Suzuki et al. The multi-zone concept has been validated in previous studies, one of which is a fire in a tunnel but fires in smaller premises have also been tested. There is room for increased knowledge about how the multi-zone concept handles fires in large rooms, as there is no known documentation on this. Currently, there is not a single study dealing with the MZ-Fire Model program. The report describes the simulation of a fire in 4 different rooms by the programs MZ-Fire Model and FDS, its simulated values ​​are then compared against each other.
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Clement, Jason Mark. "Experimental verification of the Fire dynamics simulator (FDS) hydrodynamic model." Thesis, University of Canterbury. Civil Engineering, 2000. http://hdl.handle.net/10092/5857.

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The objective of this research has been to verify the hydrodynamic model that is contained within the Fire Dynamics Simulator (FDS). In the first part of the research, a series of buoyant salt water experiments have been conducted, with the purpose of generating experimental data for comparison with computational fluid dynamics (CFD) models. Two types of buoyant flows have been generated in the experiments; a natural transitional flow, and flows that resemble fire induced smoke flow within a residential building. Laser Induced dye Fluorescence (LIF) has been used to measure the fluid density in a single vertical plane of the flow. Measurements have also been made of eddy frequencies on the perimeter of the transitional flows, and of the temporal development of the fire similar flow fields. The uncertainty of the experimental measurements has been quantified. In the second part of the research, the salt water experiments have been simulated with the FDS, to assess the accuracy of the hydrodynamic model. The simulations of the transitional flows are found to be highly dependent upon the resolution of the computational grid. The findings highlight the fact that the numerical methods employed in the FDS can generate fluid behaviour in the computational flow field that does not occur in the real salt water flows. This "numerical fluid behaviour" is clearly seen in the transitional flow computations, because at the source of the flow, the buoyancy and the momentum of the fluid are orientated in perpendicular directions to each other. The comparison of the computational and experimental results for the transitional flows show that the trajectory of the computed buoyant plume is steeper than the trajectory of the real salt water plume. It is speculated that the disagreement in the plume trajectory may be due to the spatial distribution of pressure within the computational domain. Due to limited computational facilities, this research has been unable to determine if the FDS hydrodynamic model can accurately compute the natural transition to turbulence. Further simulations of the transitional flows are required with grid cell dimensions that are less than the compartment height divided by 100, to determine if the transition can be correctly computed. The simulations of the fire similar flows have shown, that the FDS performs well in modelling fully turbulent flow fields, as found in residential building fires. From the fire similar flow simulations a maximum grid cell dimension, of the compartment height divided by 50, has been recommended for the simulation fire induced smoke flows within multicompartment residential scale buildings. At this recommended resolution, and resolutions coarser than this, the Smagorinsky sub-grid scale (SGS) has been found to give more accurate results than the constant viscosity SGS model. A relationship has been determined, for the minimum fluid viscosity that is required for stable computations in simulations that use the constant viscosity SGS model.
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Webb, Alex K. "FDS modelling of hot smoke testing, cinema and airport concourse." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-120606-181621/.

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Acevedo, Muñoz Luis. "A novel approach to reduce fire exposure and promote nature conservation in Mediterranean ecosystems: the case study of Reserva Natural da Serra da Malcata, Portugal." Master's thesis, ISA-UL, 2016. http://hdl.handle.net/10400.5/12176.

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Mestrado Mediterranean Forestry and Natural Resources Management - Instituto Superior de Agronomia - UL
In Portugal, wildfires represent a major concern that yearly produces numerous economic and environmental losses. Currently, there is a continuous increase of biomass accumulation which increases wildfire risk into Mediterranean protected areas due to lack of management. An example is the protected area of Serra da Malcata, where prescribed burning has been implemented. However, fuel treatments implementation within preserved areas remains quasi forbidden in the major cases. The main objective is to develop and asses a novel approach to reduce fire exposure and simultaneously promote conservation habitat within Natura 2000 Habitats of Reserva Natural da Serra Malcata. For this aim, fire exposure assessment of three different fuel management scenarios: current situation, planned treatments and low intense treatments within Habitat Natura 2000 promoting conservation goals, were done by using burn probability modelling under extreme conditions for 24h burn period. Results showed similar performance of conservation enhancement scenario if compare with planned treatment scenario. Nevertheless, biggest fire exposure reductions were observed within Natura 2000 network. Limitations and assumptions derived from input parameters, model validation or fire simulator could affect fire exposure results. However, results open the debate to include fuel treatments within protected areas for achieving medium- and long-term fire risk reduction
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Kim, Mihyun Esther. "A study on pulsation in Runehamar Tunnel fire tests with forced longitudinal ventilation." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-100506-112551/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.
Keywords: pulsation; FDS; fire dynamics simulator; oscillation; fluctuation; tunnel fire; forced ventilation. Includes bibliographical references (p.65-66).
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Wagner, Denis M. Jr. "Training effectiveness study of simulator usage and its impact on live Fire Armor Gunnery." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/42749.

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Approved for public release; distribution is unlimited
It is mandatory for tank commanders and gunners to train in the Advanced Gunnery Training System (AGTS), but the effectiveness of conducting this training is unclear. Although anecdotal evidence suggests that training transfer may be occurring, previous research could not definitively prove that training transfer is occurring between the simulator and the performance during live fire gunnery qualification. The purpose of this study was to assess whether there was a correlation between performance in the AGTS and modified live fire gunnery. Sixty-five participants from the Army Armor School volunteered for this study. Data was collected on their AGTS and live fire performance. Results indicated there was no significant correlation between performance in the AGTS and on the modified live fire gunnery. Exploratory analyses showed those who had completed the AGTS Gate to Live Fire performed better on the modified live fire gunnery than those who had not completed the AGTS training. This result suggests that training transfer may be occurring. Given that specific metrics are identified and incorporated into the AGTS, there is strong potential for simulation training to allow individuals to attain a higher level of proficiency than would be attained by just live training.
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Kerber, Stephen. "Evaluation of the ability of fire dynamic simulator to simulate positive pressure ventilation in the laboratory and practical scenarios." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3243.

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Thesis (M.S.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Dept. of Fire Protection Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Parkes, Anthony Richard. "The impact of size and location of pool fires on compartment fire behaviour." Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2009. http://hdl.handle.net/10092/3444.

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An understanding of compartment fire behaviour is important for fire protection engineers. For design purposes, whether to use a prescriptive code or performance based design, life safety and property protection issues are required to be assessed. The use of design fires in computer modelling is the general method to determine fire safety. However these computer models are generally limited to the input of one design fire, with consideration of the complex interaction between fuel packages and the compartment environment being simplified. Of particular interest is the Heat Release Rate, HRR, as this is the commonly prescribed design parameter for fire modelling. If the HRR is not accurate then it can be subsequently argued that the design scenario may be flawed. Therefore the selection of the most appropriate fire design scenario is critical, and an increased level of understanding of compartment behaviour is an invaluable aid to fire engineering assumptions. This thesis details an experimental study to enhance the understanding of the impact and interaction that the size and location of pool fires within an enclosure have upon the compartment fire behaviour. Thirty four experiments were conducted in a reduced scale compartment (½ height) with dimensions of 3.6m long by 2.4m wide by 1.2m high using five typical ventilation geometries (fully open, soffit, door, window and small window). Heptane pool fires were used, located in permutations of three evenly distributed locations within the compartment (rear, centre and front) as well as larger equivalent area pans located only in the centre. This thesis describes the experimental development, setup and results of the experimental study. To assist in the classification of compartment fire behaviour during the experiments, a ‘phi’ meter was developed to measure the time dependent equivalence ratio. The phi meter was developed and configured to measure O₂, CO₂ and CO. The background development, calibration, and experimental results are reported. A review of compartment fire modelling using Fire Dynamics Simulator, has also been completed and the results discussed. The results of this experimental study were found to have significant implications for Fire Safety Engineering in that the size of the fire is not as significant as the location of the fire. The effect of a fire near the vent opening was found to have a significant impact on compartment fire behaviour with the vent located fuel source increasing the total compartment heat release rate by a factor of 1.7 to that of a centrally placed pool fire of the same total fuel area. The assumption that a fire located in the centre of the room provides for the highest heat release rate is not valid for post-flashover compartment fires. The phi meter was found to provide good agreement with the equivalence ratio calculated from total compartment mass loss rates, and the results of FDS modelling indicate that the use of the model in its current form can not be applied to complex pool fire geometries.
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Pau, Dennis Su Wee. "A Comparative Study on Combustion Behaviours of Polyurethane Foams with Numerical Simulations using Pyrolysis Models." Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2013. http://hdl.handle.net/10092/9177.

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This research investigates the decomposition and burning behaviours of polyurethane foams experimentally and compares the experimental results obtained with the numerical results from the pyrolysis model of Fire Dynamics Simulator, Version 5 (FDS 5). Based on the comparison of model and experimental heat release rates, the accuracy of the pyrolysis model is quantified. In total, this research tested seven polyurethane foams consisting of three non-fire retardant (NFR) and four fire retardant (FR) foams. According to the simultaneous differential scanning calorimetry and thermogravimetric analysis (SDT) experiments, the decomposition behaviour of polyurethane foams under nitrogen environment is represented by two pyrolysis reactions. The first reaction consists of foam decomposition into melts and gases while the second reaction consists of the decomposition of the remaining melts into gases. The kinetic properties which govern the rate of decomposition are the activation energy (E), pre-exponential factor (A), reaction order (n) and heat of reaction (Δhr). Using graphical techniques, E, A and n of the first and second reactions are determined from the thermogravimetric analysis (TGA) results. Through analysing the differential scanning calorimetry (DSC) results, Δhr is determined from the changes in heat flow and sample mass. The thermophysical properties govern the heat transfer through material and these are the thermal conductivity (λ) and specific heat (cp) which are measured experimentally at ambient temperature through the Hot Disk method. Through the Sample Feeding Vertical Cone, the decomposition and melting behaviours of polyurethane foams in a vertical orientation are investigated and the foams tested can be categorised into those which produce melts only after ignition and those which produce melts and char after ignition. The 1-dimensional burning behaviour of foams is obtained from the cone calorimeter experiments. The NFR foams show a change from plateau burning behaviour at low heat flux to two stage burning behaviour at high heat flux while the FR foams consistently show two stage burning behaviour. The combustion property governs the amount of heat released when fuel combusts and this is the effective heat of combustion (Δhc,eff) which is determined from the heat released and mass consumed in the cone experiment. The 1-dimensional burning behaviour is simulated using the pyrolysis model of FDS 5 and two different modelling approaches are considered. The direct method uses the material properties determined experimentally as FDS 5 inputs while the refined method uses the genetic algorithm of Gpyro to refine the kinetic properties which are later used as FDS 5 inputs. The heat release rate of the model and experiment are compared through linear regression analysis which quantifies the accuracy of both methods. The accuracy is defined as the percentage of data points within the boundary of acceptance which is bounded by 25 % of the greatest experimental heat release rate. This assessment method places greater emphasis on the accuracy of developed burning phases and lesser emphasis on the accuracy of initial growth and final decay. The accuracy of the direct method is found to be 56 % while the refined method with estimated kinetic properties achieves a higher accuracy of 75 %. The 2-dimensional burning behaviours are investigated in the foam slab experiments for two different slab thicknesses, 120 and 100 mm. The opposed-flow spread of 120 mm slab is more intense and rapid while for the 100 mm slab, the flame spread is less intense and slow. FDS 5 is used to simulate the experimental results but when the material properties either developed experimentally or refined by Gpyro are used as inputs, the model fails to produce flame spread. This is because FDS 5 does not yet have the features which address the dynamics of foam melting and the reactive nature of the flame. In order to produce flame spread in the model, E of the reactions have been reduced to increase the decomposition rate.
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Books on the topic "Fire Simulator"

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McGrattan, Kevin B. Fire dynamics simulator: User's manual. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

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Finney, Mark Arnold. FARSITE, fire area simulator--model development and evaluation. Ogden, UT (324 25th St., Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2004.

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Hostikka, Simo. Probabilistic fire simulator: Theory and user's manual for version 1.2. Espoo [Finland]: VTT Technical Research Centre of Finland, 2003.

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Lamoureux, Richard A. Fire modeling: Validation study of the Fire Dynamics Simulator (FDS) software. Sudbury, Ont: Laurentian University, School of Engineering, 2002.

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A, Finney Mark. FARSITE, Fire Area Simulator--model development and evaluation. Ogden, UT (324 25th St., Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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Fight, Roger D. Users guide for FRCS: Fuel Reduction Cost Simulator software. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2006.

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Johnson, Morris C. Guide to fuel treatments in dry forests of the western United States: Assessing forest structure and fire hazard. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.

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Forney, Glenn P. Field modeling: Effects of flat beamed ceilings on detector and sprinkler response : technical report, year 1. Quincy, Mass: National Fire Protection Research Foundation, 1993.

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Peacock, Richard D. CFAST, the consolidated model of fire growth and smoke transport. [Gaithersburg, Md.?]: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1993.

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Peacock, Richard D. CFAST, the consolidated model of fire growth and smoke transport. [Gaithersburg, Md.?]: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1993.

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Book chapters on the topic "Fire Simulator"

1

Carrillo, C., T. Margalef, A. Espinosa, and A. Cortés. "Accelerating Wild Fire Simulator Using GPU." In Lecture Notes in Computer Science, 521–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22750-0_46.

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Nahavandi, S., L. Wei, J. Mullins, M. Fielding, S. Deshpande, M. Watson, S. Korany, et al. "Haptically-Enabled VR-Based Immersive Fire Fighting Training Simulator." In Advances in Intelligent Systems and Computing, 11–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_2.

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Sæle, Steffen Oliver. "Feasibility Study of Correlating Mass Quantity Output and Fuel Parameter Input of Different Simulations Using Fire Dynamics Simulator." In Wood & Fire Safety, 197–202. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41235-7_30.

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Jia, Lishan, Liwen Wang, and Xi Chen. "Instrument System of Airport Fire Engine Simulator Based on Parallel Simulation Technology." In Communications in Computer and Information Science, 617–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35211-9_78.

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Dobrinkova, Nina, and Adrián Cardil. "Fire Simulator Capable to Analyze Fire Spread in Real Time with Limited Field Weather Data. Case Study—Kresna Fire (2017)." In Recent Advances in Computational Optimization, 33–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58884-7_2.

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Boo, Jun-Pill, Sang-Chul Kim, Dong-Hwan Park, Hyo-Chan Bang, and Do-Hyeun Kim. "A Study of Fire Refuge Guide Simulator Based on Sensor Networks." In Grid and Pervasive Computing, 914–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38027-3_106.

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Brandstätter, Wilhelm, and Christian Redl. "Virtual Fires Experiences with Developing a LBGK Based Real Time Tunnel fire Simulator for Virtual Environments." In Lecture Notes in Computer Science, 1062–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44860-8_110.

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Stewart, C. M. "Challenges and solutions in the development of the VentFIRE mine network fire simulator." In Mine Ventilation, 300–308. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003188476-31.

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Krätzig, Gregory P., Chet C. Hembroff, and Billea Ahlgrim. "Comparison Study of Attention Between Training in a Simulator vs. Live-Fire Range." In Augmented Cognition, 178–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78114-9_13.

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Choi, Jae-Myeong, Sang-Soo Yeo, and Heau-Jo Kang. "Implementation of Cluster Surveillance Network Structural Algorithm Simulator for Fire Safety Equipment Management System." In Lecture Notes in Electrical Engineering, 353–58. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5064-7_49.

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Conference papers on the topic "Fire Simulator"

1

TRAN, Viet. "Tunnel Fire Simulation using FDS (Fire Dynamics Simulator)." In EGI Community Forum 2012 / EMI Second Technical Conference. Trieste, Italy: Sissa Medialab, 2012. http://dx.doi.org/10.22323/1.162.0155.

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Panchakarla, Saikiran, and David Lilley. "FDS: The Fire Dynamics Simulator Code for Structural Fires." In 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-470.

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Tzani, Mpesiana, Jeries Besharat, Vlasis Charalampous, and Chrysostomos Stylios. "Building a Virtual Reality Fire Environment based on Fire Dynamic Simulator." In 2020 International Conference on Information Technologies (InfoTech). IEEE, 2020. http://dx.doi.org/10.1109/infotech49733.2020.9211048.

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Kin, Andrey I., and Anton I. Sidorenko. "Simulation of the Fire in the Working of Coal Mine Using the Fire Dynamics Simulator Software." In 2020 21st International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM). IEEE, 2020. http://dx.doi.org/10.1109/edm49804.2020.9153487.

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Miklosik, Igor, Peter Kello, and Juraj Spalek. "Fiber laser fire detection in the tunnel simulator." In 2016 ELEKTRO. IEEE, 2016. http://dx.doi.org/10.1109/elektro.2016.7512112.

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Morales, Gilberto A., Ridley S. Morales, Carlos F. Valencia, and Raha Akhavan-Tabatabaei. "A forest fire propagation simulator for Bogotá." In 2014 Winter Simulation Conference - (WSC 2014). IEEE, 2014. http://dx.doi.org/10.1109/wsc.2014.7020003.

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Purohit, Aveek, and Pei Zhang. "Controlled-mobile sensing simulator for indoor fire monitoring." In 2011 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwcmc.2011.5982698.

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Hiller, A., C. Zhang, C. Zhou, J. Mitchell, J. Moreland, K. Toth, R. Britton, S. Borzych, and J. Heffron. "Virtual Reality Simulator for Portable Fire Extinguisher Training." In AISTech 2020. AIST, 2020. http://dx.doi.org/10.33313/380/003.

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Borzych, S., R. Britton, J. Heffron, A. Hiller, J. Mitchell, J. Moreland, K. Toth, C. Zhang, and C. Zhou. "Virtual Reality Simulator for Portable Fire Extinguisher Training." In AISTech 2021. AIST, 2021. http://dx.doi.org/10.33313/382/101-30111-007.

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Borzych, S., R. Britton, J. Heffron, A. Hiller, J. Mitchell, J. Moreland, K. Toth, C. Zhang, and C. Zhou. "Virtual Reality Simulator for Portable Fire Extinguisher Training." In AISTech 2021. AIST, 2021. http://dx.doi.org/10.33313/382/001.

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Reports on the topic "Fire Simulator"

1

McGrattan, Kevin B., Howard R. Baum, Ronald G. Rehm, Anthony Hamins, Glenn P. Forney, and Jason E. Floyd. Fire dynamics simulator (version 3) :. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6783.

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McGrattan, Kevin B., Howard R. Baum, Ronald G. Rehm, Anthony Hamins, Glenn P. Forney, Jason E. Floyd, Simo Hostikka, and Kuldeep Prasad. Fire dynamics simulator (version 2) :. Gaithersburg, MD: National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6783e2002.

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McGrattan, Kevin B., Glenn P. Forney, Jason E. Floyd, Simo Hostikka, and Kuldeep Prasad. Fire dynamics simulator (version 3) :. Gaithersburg, MD: National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6784e2002.

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McGrattan, Kevin B. Fire dynamics simulator (version 4) :. Gaithersburg, MD: National Institute of Standards and Technology, 2006. http://dx.doi.org/10.6028/nist.sp.1018.

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McGrattan, Kevin B., Simo Hostikka, Jason E. Floyd, Howard R. Baum, and Ronald G. Rehm. Fire dynamics simulator (version 5) :. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.sp.1018-5.

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McGrattan, Kevin B., and Glenn P. Forney. Fire dynamics simulator (version 4) :. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.sp.1019.

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7

McGrattan, Kevin B., Bryan Klein, Simo Hostikka, and Jason E. Floyd. Fire dynamics simulator (version 5) :. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.sp.1019-5.

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8

FIRE RESEARCH CORP NESCONSET NY. Fire Fighters Vehicle Training Simulator. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada585146.

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9

McGrattan, Kevin B., and Glenn P. Forney. Fire dynamics simulator- user's manual. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6469.

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10

McGrattan, Kevin B., Howard R. Baum, Ronald G. Rehm, Anthony Hamins, and Glenn P. Forney. Fire dynamics simulator- technical reference guide. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6467.

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