中文摘要：

可调谐半导体激光吸收光谱（TDLAS）技术结合层析成像（CT）算法能实现流场温度、浓度等信息的二维重建测量。为研究层析成像算法对温度场二维重建质量的影响，实现了两种典型重建算法：代数迭代重建算法（ART）和模拟退火（SA）算法。在不同的射线分布和吸收谱线数目情况下，使用两种算法对给定单峰温度场和双峰温度场分别进行重建仿真，比较分析了两种算法的重建结果。仿真结果表明，影响代数迭代重建算法重建质量的主要因素是射线分布，而模拟退火算法则对吸收谱线数较为敏感；对于单峰温度场，代数迭代重建算法重建结果的最大偏差为5．6％，略好于使用6条吸收谱线时模拟退火算法重建结果的6．2％；对于双峰温度场，模拟退火算法重建结果的最大偏差为5．5％，而代数迭代重建算法的最大偏差则高达22％。

英文摘要：

Tunable diode laser absorption spectroscopy （TDLAS） combining with computer tomography （CT） algorithm can realize 2D reconstruction measurement of temperature of flow field, concentration and so on. Two different typical algorithms including algebraic reconstruction technique （ART） algorithm and simulated annealing （SA） algorithm are implemented to study the influence of tomography algorithm on the 2D reconstruction quality of temperature field. Reconstruction simulations of unimodal temperature field and bimodal temperature field are done under different beam arrangements and absorption lines with two algorithms, and the reconstruction results of two algorithms are compared and analyzed. The simulation results indicate that the reconstruction quality of ART algorithms is mainly affected by the beam arrangement while the SA algorithm is more sensitive to the number of absorption spectral lines. More specifically, for unimodal temperature field, the maximum deviation of the reconstructed results of ART algorithm is 5.6%, which is slightly better than 6.2% of SA algorithm using 6 absorption lines. For bimodal temperature field, the maximum deviation of the reconstructed results of SA algorithm is 5.5%, whiles that of ART algorithm is up to 22%.