Predicting Fire Behavior of Composite CFT Columns Using Fundamental Section Behavior

2010 ◽  
pp. 78-78-33 ◽  
Author(s):  
Sangdo Hong ◽  
Amit H. Varma
Keyword(s):  
Fire Behavior

ANALYSIS OF EXPERIMENTAL DATA ON THE EFFECT OF BOTTOM VENTILATION CONDITIONS ON FIRE BEHAVIOR OVER A THERMALLY THIN NATURAL LATEX FOAM

2020 ◽  
Vol 51 (4) ◽  
pp. 359-376
Author(s):  
Dongmei Huang ◽  
Qi Yuan ◽  
Yu Wang ◽  
YiWei Hu ◽  
Yongliang Chen ◽  
...  
Keyword(s):  
Experimental Data ◽  
Fire Behavior ◽  
Ventilation Conditions

Fire Behavior Assessment Team: pre- and post-fire canopy cover data

2020 ◽  
Author(s):  
Alicia L. Reiner ◽  
Carol M. Ewell ◽  
Josephine A. Fites-Kaufman ◽  
Scott N. Dailey ◽  
Erin K. Noonan-Wright ◽  
...  
Keyword(s):  
Fire Behavior ◽  
Canopy Cover ◽  
Behavior Assessment

Chaparral shrub bulk density and fire behavior

2016 ◽  
Author(s):  
Jing Li ◽  
Shankar Mahalingam ◽  
David R. Weise
Keyword(s):  
Bulk Density ◽  
Fire Behavior

scholarly journals AEGIS: a wildfire prevention and management information system

2016 ◽  
Vol 16 (3) ◽  
pp. 643-661 ◽  
Author(s):  
Kostas Kalabokidis ◽  
Alan Ager ◽  
Mark Finney ◽  
Nikos Athanasis ◽  
Palaiologos Palaiologou ◽  
...  
Keyword(s):  
Fire Hazard ◽  
Fire Behavior ◽  
End Users ◽  
Burned Area ◽  
Fire Control ◽  
Web Based ◽  
Ignition Point ◽  
Weather Information ◽  
Management Platform ◽  
Burn Probability

Abstract. We describe a Web-GIS wildfire prevention and management platform (AEGIS) developed as an integrated and easy-to-use decision support tool to manage wildland fire hazards in Greece (http://aegis.aegean.gr). The AEGIS platform assists with early fire warning, fire planning, fire control and coordination of firefighting forces by providing online access to information that is essential for wildfire management. The system uses a number of spatial and non-spatial data sources to support key system functionalities. Land use/land cover maps were produced by combining field inventory data with high-resolution multispectral satellite images (RapidEye). These data support wildfire simulation tools that allow the users to examine potential fire behavior and hazard with the Minimum Travel Time fire spread algorithm. End-users provide a minimum number of inputs such as fire duration, ignition point and weather information to conduct a fire simulation. AEGIS offers three types of simulations, i.e., single-fire propagation, point-scale calculation of potential fire behavior, and burn probability analysis, similar to the FlamMap fire behavior modeling software. Artificial neural networks (ANNs) were utilized for wildfire ignition risk assessment based on various parameters, training methods, activation functions, pre-processing methods and network structures. The combination of ANNs and expected burned area maps are used to generate integrated output map of fire hazard prediction. The system also incorporates weather information obtained from remote automatic weather stations and weather forecast maps. The system and associated computation algorithms leverage parallel processing techniques (i.e., High Performance Computing and Cloud Computing) that ensure computational power required for real-time application. All AEGIS functionalities are accessible to authorized end-users through a web-based graphical user interface. An innovative smartphone application, AEGIS App, also provides mobile access to the web-based version of the system.

Thermal properties and fire behavior of a flexible poly(vinyl chloride) modified with complex of 3-aminotriazole with zinc phosphate

2021 ◽  
Vol 122 ◽  
pp. 103326
Author(s):  
K. Salasinska ◽  
K. Mizera ◽  
M. Celiński ◽  
P. Kozikowski ◽  
J. Mirowski ◽  
...  
Keyword(s):  
Thermal Properties ◽  
Vinyl Chloride ◽  
Zinc Phosphate ◽  
Fire Behavior ◽  
Poly Vinyl Chloride
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