Assessment of different chemistry reduction methods based on principal component analysis: Comparison of the MG-PCA and score-PCA approaches

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• 作者：Axel Coussement ; ^a ; ^{axcousse@ulb.ac.be" class="auth_mail" title="E-mail the corresponding author} ; Benjamin J. Isaac^a ; ^d ; Olivier Gicquel^b ; ^c ; Alessandro Parente^a
• 关键词：Low-dimensional manifolds ; Principal component analysis ; Reacting flows ; Reduced-order models
• 刊名：Combustion and Flame
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：168
• 期：Complete
• 页码：83-97
• 全文大小：3189 K

文摘

Two families of PCA based combustion model were recently developed: score-PCA and MG-PCA. This paper presents the first comparative study of the two aftermentioned methods. Both methods are first benchmarked on 1-D laminar flames of hydrogen–air and syngas–air, to verify the consistency of the approaches. The sensitivity to differential diffusion is carefully addressed and a rotation technique is proposed, to allow for using score-PCA with differential diffusion. Then, 2-D flame-turbulence interactions are considered, spanning a wide range of velocity and length scale ratios, to demonstrate the ability of PC-based combustion models to efficiently capture the behavior of different combustion regimes, from flamelet-like flames to distributed reaction regimes.