Crash Fire Hazard Evaluation of Jet Fuels

1972 ◽  
Author(s):  
Samuel V. Zinn

1989 ◽  
Vol 25 (10) ◽  
pp. 521-524
Author(s):  
A. F. Gorenkov ◽  
T. A. Lifanova
Keyword(s):  


Author(s):  
R. E. Erickson ◽  
R. M. Krajewski ◽  
W. E. Cohrs

This paper is directed to the modification of jet fuels to reduce the inherent fire hazard of such fuels. Some of the problems and compromises involved in this development program are discussed. The theoretical concept pursued is outlined and some of the physical properties of the final compromise modified fuel are shown.



2021 ◽  
Vol 2 (1) ◽  
Author(s):  
V. K. Kodur ◽  
M. Z. Naser

AbstractThis study presents a machine learning (ML) approach to identify vulnerability of bridges to fire hazard. For developing this ML approach, data on a series of bridge fires was first collected and then analyzed through three algorithms; Random forest (RF), Support vector machine (SVM) and Generalize additive model (GAM), competing to yield the highest accuracy. As part of this analysis, 80 steel bridges and 38 concrete bridges were assessed. The outcome of this analysis shows that the ML based proposed approach can be effectively applied to arrive at the risk based classification of bridges from a fire hazard point of view. In addition, the developed ML algorithms are also capable of identifying the most critical features that govern bridges vulnerability to fire hazard. In parallel, this study showcases the potential of integrating ML into structural engineering applications as a supporting tool for analysis (i.e. in lieu of experimental tests, advanced simulations, and analytical approaches). This work emphasizes the need to compile data on bridge fires from around the world into a centralized and open source database to accelerate the integration of ML in to fire hazard evaluation.



2021 ◽  
Author(s):  
TS Subramanian ◽  
Ibrahim Al Awadhi

Abstract Passive fire protection (PFP) is applied to steel structures in process plants to delay temperature rise and maintain structural integrity until active firefighting methods are deployed and fire is contained. Our largest gas plant was developed in several phases spanning over 25years with fireproofing designed and applied as per existing philosophy during respective execution phases. During recent Risk Management Survey, potential gaps in fireproofing were observed and survey recommended a campaign to review and identify similar gaps across entire Plant. This paper highlights the approach for gap identification, assessment and optimal recommendations which ensure safety and asset integrity while avoiding high OPEX. Fire hazard evaluation is carried out based on risk assessment of fire and hydrocarbon leakage scenarios in process plant, and recommendations for fire prevention, protection and firefighting measures are provided. Requirement of fire protection is dependent on fire source and resulting fire influence zone (fireproofing zone drawings, FPZ). Structures which are located within the FPZ are then evaluated as per identified criteria in a sequential approach (e.g. whether sudden collapse will cause significant damage, structure supports equipment containing toxic material etc.). Further detailed assessment of structural members and their impact on overall structural stability and integrity is carried out for identified structures to determine fireproofing needs. Based on the outcome, fireproofing is applied for identified members. The scope involved assessment of structural steel fireproofing in the entire complex comprising of over 40 numbers process units and 12 numbers utility units. Several teams conducted physical site survey to identify the actual fireproofing based on zone drawings across the entire plant. Desktop assessment and identification of gaps were carried out primarily based on Project fireproofing specifications, fireproofing zone drawings, fireproofing location drawings, fireproofing schedule, structural design calculations and 3-D models wherever available for respective areas. Study revealed that actual fireproofing at site in each phase of plant is consistent within all process units installed as part of that particular project, however inconsistencies were observed when compared across the different phases, probably due to different interpretation of requirements. To ensure consistency a common criteria was established considering fire source, equipment supported by structure, criticality of member and industry standards. Optimized solutions was recommended to avoid high OPEX while ensuring asset integrity and safety. Fireproofing criteria are general guidelines susceptible to various interpretations by respective users. Establishment of common criteria and elimination of ambiguities in specifications enables consistent application of fireproofing, resulting in optimization while ensuring asset safety and integrity. The approach adopted by ADNOC Gas Processing can be shared with other group companies to enable each organization be prepared to justify the actions in case of any external / internal audits.



2015 ◽  
Vol 5 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Nikolay A. ILYIN ◽  
Denis A. PANFILOV ◽  
Denis V. LITVINOV ◽  
Pavel N. SLAVKIN

In SGASU a new engineering solution for buildings fire protection is developped. Its especially efficient for classification of reinforced concrete structures according to their resistance to high-temperature impact in case of fire or technological emergency that gives an opportunity to use a structure with actual fire resistance grading in buildings of different structural fire hazard. Evaluation of actual fi re resistance grading by engineering analysis (as opposed to inplace tests of reinforced concrete structures) makes possible resource and energy saving.



2009 ◽  
Vol 34 (5) ◽  
pp. 251-260 ◽  
Author(s):  
Baogang Yu ◽  
Mo Liu ◽  
Lingang Lu ◽  
Xilin Dong ◽  
Weiying Gao ◽  
...  


2020 ◽  
Vol 12 (24) ◽  
pp. 4124
Author(s):  
Goran Krsnik ◽  
Eduard Busquets Olivé ◽  
Míriam Piqué Nicolau ◽  
Asier Larrañaga ◽  
Adrián Cardil ◽  
...  

Both fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense, geospatial analysis tools and remote sensing data offer new opportunities for estimating fire risk and optimizing wildfire prevention planning. Herein, we presented a conceptual design of a server that contained most variables required for predicting fire behavior at a regional level. For that purpose, an innovative and elaborated fuel modelling process and parameterization of all needed environmental and climatic variables were implemented in order to enable to more precisely define fuel characteristics and potential fire behaviors under different meteorological scenarios. The server, open to be used by scientists and technicians, is expected to be the steppingstone for an integrated tool to support decision-making regarding prevention and management of forest fires in Catalonia.



2019 ◽  
Vol 139 (1) ◽  
pp. 441-449 ◽  
Author(s):  
Qingqing Lei ◽  
Qiyuan Xie ◽  
Yanwei Ding




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