基于BP神经网络的木材着火时间预测
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摘要
提出了一种基于BP神经网络获得木材辐射热流作用下着火时间与物性参数相互关系的方法。建立了木材热解数值模型,模型中考虑了水蒸发、活性物质热解、热解气体流动等物理化学过程并使用实验数据进行了验证;基于数值模型提供的数据搭建并训练了BP神经网络;利用随机生成的数值数据验证了BP神经网络模型的可靠性。该方法结合了数值模拟和BP神经网络算法预测的优点,克服了实验样本数据量有限及数值模型求解较慢的问题。
BP neural network is proposed to predict the relationship between pyrolysis parameters and ignition time of wood under radiant heat fluxes. The wood pyrolysis model was built. The model considers water evaporation, pyrolysis action and gas flow, and was verified by experimental data. Based on the data from the model, BP network was built and trained. By data generated randomly,the reliability of the BP network was verified. The method combined the advantage of mathematical simulation and BP network,and overcome the problems of limited experimental data and the big time requirement of solving the mathematical model.
BP neural network is proposed to predict the relationship between pyrolysis parameters and ignition time of wood under radiant heat fluxes. The wood pyrolysis model was built. The model considers water evaporation, pyrolysis action and gas flow, and was verified by experimental data. Based on the data from the model, BP network was built and trained. By data generated randomly,the reliability of the BP network was verified. The method combined the advantage of mathematical simulation and BP network,and overcome the problems of limited experimental data and the big time requirement of solving the mathematical model.
引文
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[15] ZHAI C J,GONG J H,ZHOU X D,et al. Pyrolysis and spontaneous ignition of wood under time-dependent heat flux[J]. Journal of Analytical and Applied Pyrolysis. 2017,125:100-108.
[16] ZHAI C J,PENG F,ZHOU X D,et al. Pyrolysis and ignition delay time of poly(methyl methacrylate)exposed to ramped heat flux[J]. Journal of Fire Sciences,2018,36(3):147-163.
[17]丛爽.面向MATLAB工具箱的神经网络理论与应用[M].合肥:中国科学技术大学出版社,1998.
[2] WICHMAN I,ATREYA A. A simplified model for the pyrolysis of charring materials[J].Combustion and Flame,1987,68(3):231-247.
[3] WOJTOWICZ M A,BASSILAKIS R,SMITH W. Modeling the evolution of volatile species during tobacco pyrolysis[J]. Journal of Analytical and Applied Pyrolysis,2003,66(1):235-261.
[4] BAL N. Forty years of material flammability:An appraisal of its role,its experimental determination and its modelling[J]. Fire Safety Journal,2018,96:46-58.
[5]叶茂昌,王金广.典型胶合板的着火时间研究[J].消防科学与技术,2017,36(1):31-33.
[6]徐亮,丁严艳.锥形量热仪中材料点燃的数值模拟研究[J].消防科学与技术,2010,29(7):569-571.
[7]杨守生,段楠.木材热解特性研究[J].消防科学与技术,2001,20(3):9-11.
[8]沈永腾.氧浓度对瓦楞纸着火特性影响[J].消防科学与技术,2013,32(6):585-588.
[9] BILBAO R,MASTRAL J,LANA J,et al. A model for the prediction of the thermal degradation and ignition of wood under constant and variable heat flux[J]. Journal of Analytical and Applied Pyrolysis,2002,62(1):63-82.
[10] BILLAUD Y,KAISS A,CONSALVI J,et al. Monte Carlo estimation of Thermal Radiation from wildland fires[J]. International Journal of Thermal Science,2011,50(1):2-11.
[11] DIDOMIZIO M,MULHERIN P,WECKMAN E. Ignition of wood under time-varying radiant exposures[J]. Fire Safety Journal,2016,82:131-144.
[12] GUO Z F,YANG L Z. Experimental study on relation between ignition time of wood and heat flux increasing rate exposed to variable heat flux[J]. Journal of Thermal Science and Technology,2005,4(3):224-227.
[13] RESZKA P,BOROWIEC P,STEINHAUS T,et al. A methodology for the estimation of ignition delay times in forest fire modelling[J]. Combustion and Flame,2012,159(12):3652-3657.
[14] LAMORLETTE A. Analytical modeling of solid material ignition under a radiant heat flux coming from a spreading fire front[J]. Journal of Thermal Science&Engineering Application,2014,6(4):044501.
[15] ZHAI C J,GONG J H,ZHOU X D,et al. Pyrolysis and spontaneous ignition of wood under time-dependent heat flux[J]. Journal of Analytical and Applied Pyrolysis. 2017,125:100-108.
[16] ZHAI C J,PENG F,ZHOU X D,et al. Pyrolysis and ignition delay time of poly(methyl methacrylate)exposed to ramped heat flux[J]. Journal of Fire Sciences,2018,36(3):147-163.
[17]丛爽.面向MATLAB工具箱的神经网络理论与应用[M].合肥:中国科学技术大学出版社,1998.