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                            Library & Multimedia
 Methodology for Material Property Determination
NCJ Number
              254475
Journal

*Fire and Materials* Volume: 43 Dated: 2019 Pages: 694-706
Author(s)
          Fengchang  Yang;
                        Christian  Rippe;
                        Jonathan  Hodges;
                        Brian  Lattimer
Date Published

2019
Length
              13 pages
Annotation
              Since predicting solid material pyrolysis requires numerous parameters/properties that are time consuming and difficult to measure, this study investigated combinations of testing protocols and parameters for optimization to determine a testing and optimization methodology that results in the accurate parameters.
Abstract
              A Shuffled Complex Evolution (SCE) optimization routine was used to determine parameters based on some parameters being known (i.e., measured) and others being determined through optimization and different combinations of types of input data. The results indicate that material testing should be done at three different heating rates in a thermogravimetric analyzer (TGA) and at three different heat fluxes in the cone calorimeter. The TGA tests and two cone calorimeter tests are input into the SCE optimization routine to determine the remaining parameters. The third cone calorimeter test is used to validate the parameters determined using the methodology. The method provides parameters within 20 percent of the actual parameters input into the Fire Dynamics Simulator (FDS) virtual experiment models. This method is applied to Polymethyl methacrylate (PMMA) experimental data to prove effectiveness. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2016-DN-BX-0185


  
  
        
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  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Determination of Material Property Input Data for Fire Modeling
    
  
  
Date Published: January 1, 2019
    
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