Material defect quantitative identification with single-side infrared inspection based on Chaos-LM hybrid algorithm
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摘要: 针对缺陷定量辨识的非线性、不适定性提出了采用混沌-LM(Levenberg-Marquardt)混合解法结合单面红外检测技术对缺陷进行定量辨识的新算法,并提出了相对敏感系数分析缺陷可检测性的新概念。通过相对敏感系数分析发现,缺陷尺寸、位置的不同描述参数的可检测性并不相同,而且采用检测面达到最大温差时刻点的瞬态检测比稳态检测更具优越性。文中采用数值实验对瞬态和稳态检测均进行了检验,实验结果与相对敏感系数分析结论一致。此外,数值实验还证明了混沌-LM混合解法的有效性,表明了辨识结果的稳定性和全局最优性。Abstract: In order to overcome the difficulty of nonlinearity and ill-posedness of the defect quantitative identification with the single-side infrared inspection, a new algorithm(Chaos-LM hybrid algorithm),which combined the chaos algorithm with the Levenberg-Marquardt method,was introduced in this paper. And a new concept of relative sensitivity coefficient was also brought forward to analyze the defect inspectability. Through analyzing the relative sensitivity coefficient, it was found that the inspectability of different parameters describing the size and position of the defect was different, and the inspection carried out at the time with maximum surface temperature difference was more desirable than that in steady heat transfer state. Both of the transient and steady inspections were tested by a series of numerical experiments, and the experimental results are consistent with the analysis of relative sensitivity coefficient. Besides, the numerical experiments have certified the effectiveness of the Chaos-LM hybrid algorithm, and show that the identification results are stable and globally optimal.
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[1] [2] Liu Guohua, Wu Lixin, Wu Miao, et al. Current status and applications of infrared thermography[J]. Infrared and Laser Engineering, 2004, 33(3): 227-230. (in Chinese) [3] Li Jia, Wang Naihui, Xing Dapeng, et al. The application of Infrared diagnosis technology in the state overhaul[J]. Electrical Measurement Instrumentation, 2009, 46(12A): 25-28. (in Chinese) [4] [5] Chen Heng. The present situation and prospect for infrared diagnostic technology in China[J]. Laser Infrared, 1998, 28(5): 292-296. (in Chinese) [6] [7] Yu Hui, Guan Ronghua. Feasibility to the theory of diagnosis defects in equipent' inner wall by means of infrared technique[J]. Infrared of Laser Engineering, 2002, 31(3):229-232. (in Chinese) [8] [9] [10] Huang Chaojun, Liu Yafeng, Yin Jiwu, et al. Inversion parameters of shadowing function and optimization of BRDF statistical modeling on target surface[J]. Infrared and Laser Engineering, 2010, 39(5): 883-886. [11] [12] Hsieh C K, Su K U. A methodology of predicting cavity geometry based on scanned surface temperature data-prescribed surface temperature at the cavity side[J]. ASME Journal of Heat Transfer, 1980, 102(2): 324-329. [13] [14] Hsieh C K, Su K U. A methodology of predicting cavity geometry based on the scanned surface temperature data-prescribed heat flux at the cavity side[J]. ASME Journal of Heat Transfer, 1981, 103(1):42-46. [15] [16] Huang C H, Chao B H. An inverse geometry problem in identifying irregular boundary configurations[J]. International Journal of Heat and Mass Transfer, 1997, 40(9): 2045-2053. [17] [18] Fan Chunli, Sun Fengrui, Yang Li. A general quantitative identification algorithm of subsurface defect for infrared thermography[C]//Proceeding of The Joint 30th International Conference on Infrared and Millimeter Waves and 13th International Conference on Terahertz Electronics, 2005: 341-342. [19] [20] Wang Denggang, Liu Yingxi, Li Shouju. Chaos-Regularization hybrid algorithm for nonlinear two-dimensional inverse heat conduction problem[J]. Applied Mathematics and Mechanics, 2002, 23(8): 864-869. (in Chinese) [21] Terumi Inagki, Toshimitsu Ishii, Toshikatsu Iwamoto. On the NDT and E for the diagnosis of defects using infrared thermography[J]. NDT E International, 1999, 32(5): 247-257.
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