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Estimation of Fire Dynamics Properties for Charring Material Using a Genetic Algorithm  

Chang, Hee-Chul (중앙대학교 대학원)
Park, Won-Hee (한국철도기술연구원 철도환경 연구실)
Lee, Duck-Hee (한국철도기술연구원 철도환경 연구실)
Jung, Woo-Sung (한국철도기술연구원 철도환경 연구실)
Son, Bong-Sei (경원대학교 소방방재공학)
Kim, Tae-Kuk (중앙대학교 기계공학부)
Publication Information
Fire Science and Engineering / v.24, no.2, 2010 , pp. 106-113 More about this Journal
Abstract
Fire characteristics can be analyzed more realistically by using more accurate material properties related to the fire dynamics and one way to acquire these fire properties is to use one of the inverse property analyses. In this study the genetic algorithm which is frequently applied for the inverse heat transfer problems is selected to demonstrate the procedure of obtaining fire properties of the solid charring material with relatively simple chemical structure. The thermal decomposition on the surface of the test plate is occurred by receiving the radiative energy from external heat sources, and in this process the heat transfer through the test plate can be simplified by an unsteady 1-D problem. The inverse property analysis based on the genetic algorithm is then applied for the estimation of the properties related to the reaction pyrolysis. The input parameters for the analysis are the surface temperature and mass loss rate of the char plate which are determined from the unsteady 1-D analysis with a givenset of 8 properties. The estimated properties using the inverse analysis based on the genetic algorithm show acceptable agreements with the input properties used to obtain the surface temperature and mass loss rate with errors between 1.8% for the specific heat of the virgin material and 151% for the specific heat of the charred material.
Keywords
Fire property; Genetic algorithm; Pyrolysis; Solid material; 1-D unsteady model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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