基于非支配遗传算法优化的宽带k分布气体辐射传输模型  

Wide-Band k-Distribution Gas Radiation Transfer Model Optimized Using Non-Dominated Genetic Algorithm

作　　者：李一涵 胡海洋[1] 王强[1] Li Yihan;Hu Haiyang;Wang Qiang(School of Energy and Power Engineering,Beihang University,Beijing 100206,China)

机构地区：[1]北京航空航天大学能源与动力工程学院,北京100206

出　　处：《光学学报》2024年第24期308-318,共11页Acta Optica Sinica

基　　金：国家科技重大专项(J2019-III0009-0053)。

摘　　要：气体吸收光谱的不连续性使得精确的红外辐射计算需要采取逐线计算(LBL)方式,其算力需求在三维工程问题中难以满足。多尺度多线组宽带(MSMGWB)k分布模型在非等温非均匀的远程红外辐射探测计算场景中能够大幅减少辐射传输方程的求解个数并保持与LBL相似的精度。研究了分组策略、高斯求积节点数量、参考温度3个因素对MSMGWB模型计算效率和精度的影响,以56个航空发动机排气系统的典型一维工况评价优化效果,采用非支配遗传算法能够快速得到模型计算精度与效率的Pareto前沿。对三维喷管远程红外辐射探测的结果表明,利用基于该遗传算法得到的MSMGWB模型参数能够有效提升模型的计算精度与效率。Objective The temperature and pressure of gas jets,along with the molar ratios of the primary radiative components(carbon dioxide and water vapor),differ significantly from atmospheric conditions.This nonuniformity disrupts the correlatedk(CK)properties of gas absorption spectra,resulting in substantial errors in radiation models that depend on CK properties.Research has shown that“hot lines”in the absorption spectra of radiative components significantly contribute to CK property disruption caused by temperature nonuniformity.Existing solutions to address this issue fall into two categories:the multiple line group(MLG)method and the spectral mapping method(SMM).These approaches divide the absorption spectrum or absorption lines into subsets to preserve CK properties under various thermodynamic states.CK property disruption caused by nonuniform molar ratios stems from differences in the absorption spectra of radiative components.Current methods to address this include joint distribution functions,multiple integration,and convolution techniques,all of which increase computational demand,especially when combining solutions to manage multiple disruption mechanisms simultaneously.The multiscale multigroup wideband kdistribution(MSMGWB)model integrates the multigroup multiscale method with the kdistribution approach,achieving a favorable balance between computational cost and accuracy when predicting longrange infrared radiation signals of hot gas jets.This balance arises from addressing both CK property disruption mechanisms using a unified approach.However,the MSMGWB method’s random initialization of groupings results in nonunique outcomes,requiring optimal selection.In addition,determining suitable reference temperatures and Gaussian quadrature points is computationally challenging due to the vast combination space,making exhaustive optimization impractical.To overcome these limitations,we propose an improved nondominated sorting genetic algorithm that rapidly identifies optimal grouping schemes,reference temp

关 键 词：红外辐射 气体辐射 遗传算法 宽带模型 k分布模型 

分 类 号：V218[航空宇航科学与技术—航空宇航推进理论与工程]