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<b>"Water and Energy Balance-Based Model for Predicting Diurnal Ignition Potential of Complex Fuels"
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<div class="ContentPasted0"><span style="font-size: 16pt;"><b>Saurabh Saxena</b></span></div>
<div class="ContentPasted0">PhD student in Mechanical Engineering</div>
<div class="ContentPasted0">Florida State University</div>
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<div class="ContentPasted0">NOTE: Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic.
<b>All are welcome to attend. </b></div>
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<div class="ContentPasted0"><b>https://fsu.zoom.us/j/94273595552 </b></div>
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<div>Meeting # <b>942 7359 5552</b><br>
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<div class="ContentPasted0">Wednesday, <b>October 19</b>, 2022, Schedule: <br>
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<div class="ContentPasted0">* 3:00 to 3:30 PM Eastern Time (US and Canada) </div>
<div>Nespresso & Teatime (in 417 DSL Commons)<br>
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<div class="ContentPasted0">* <b>3:30 to 4:30 PM Eastern Time</b> (US and Canada)
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<div><b style="color: inherit; font-family: inherit; font-size: inherit; font-style: inherit; font-variant-ligatures: inherit; font-variant-caps: inherit;">Colloquium</b> - Attend F2F (in 499 DSL) or Virtually (via Zoom)<br>
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<div><b>Abstract:<br>
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<div>Fuel ignition potential is one of the primary drivers influencing the extent of damage in wildland and wildland-urban interface fires. Determining fire and ember exposure of fuels that vary spatially and temporally will aid in recognizing necessary defensive
actions and mitigating damages. This study develops a novel coupled water-energy balance model that predicts diurnal temperature and moisture content evolution of multi-material objects/fuels of complex shapes. The simulations are done in high spatial and
temporal resolutions under changing environmental conditions. Examples of complex fuel scenarios are interface or intermix communities composed of natural and manmade random-shaped objects. The fuel ignition potential is determined by predicting the transient
temperature and dryness of fuel, which depends on several parameters, including terrain, geographical location, local weather conditions, fuel material, and proximity to flame (if any exists). The model can be used in various fuel condition problems and due
to its high spatiotemporal resolution, can also be coupled with computational fluid dynamics simulations when coupled physics is desired. This presentation focuses on the model theory and demonstrates that the model performs well against several existing analytical
and measured data.<br>
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