Research Interests
Aviation Health Management , Structural Health Monitoring, Advanced Sensor Technology, Smart Materials and Structures, NDE                                                                                   
 
Education
Master’s degree,1988.09-1991.01,Tianjin University                                                                                    
Doctor's degree，1991.02-1993.10，Tsinghua University                                                                                     
Post-doctoral, 1993.10-1995.08, Tianjin University                                                                                  
 
Representative Publications
[1] WANG Yishou, QING Xinlin, Progress on study of structural health monitoring technology for composite joints, Acta Materiae Compositae Sinica，2015.
[2] Cai, J., Yuan, S., Qing, X., Chang, F.-K., Shi, L. and Qiu, L., Linearly dispersive signal construction of Lamb waves with measured relative wavenumber curves, Sensors and Actuators A: Physical, 221: 41–52 , 2015.
[3] Hong, M., Su, Z., Ye, L., Sohn, H. and Qing, X. , Locating fatigue damage using temporal signal features of nonlinear Lamb waves, Mechanical Systems and Signal Processing, 60-61:182-197, 2015.
[4] Wang, Y., Gao, L., Qiu, L., Yuan, S. and Qing, X., An adaptive filter based temperature compensation technique for structural health monitoring, Journal of Intelligent Material Systems and Structures, 25 (17): 2187-2198, 2014.
[5] Zhao, L., Zhang, B. and Qing, X., Prediction of the biaxial failure strength of composite laminates with unit cell analytic model, Journal Wuhan University of Technology, Materials Science Edition, 29(5): 923-927, 2014.
[6] Hong, M., Su, Z., Wang, Q., Cheng, L. and Qing, X., Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: theory, simulation, and experimental validation, Ultrasonics, 54:770-778, 2014.
[7] Su, Z., Zhou, C., Hong, M., Cheng, L., Wang, Q. and Qing, X., Acoustoultrasonics-based fatigue damage characterization: linear versus nonlinear signal features, Mechanical Systems and Signal Processing, 45:225-239, 2014.
[8] Qiu, L., Liu, M., Qing, X. and Yuan, S., A quantitative multidamage monitoring method for large-scale complex composite, Structural Health Monitoring, 12(3): 183-196, 2013.
[9] Cai, J., Shi, L. and Qing, X., A time–distance domain transform method for Lamb wave dispersion compensation considering signal waveform correction, Smart Materials and Structures, 22(10): 105024, 2013.
[10] Gao, L. and Qing, X., Sensing of Damage in Glass Fiber Composites by Adding Carbon Nanotubes, Applied Mechanics and Materials, Vol. 330, pp. 68-76, 2013.
[11] Cai Jian, Shi Lihua, Qing Xinlin, Lamb wave time-distance domain mapping method considering signal waveform correction, Chinese Journal of Scientific Instrument, 34(5): 1015-1021, 2013.
[12] Cai Jian, Shi Lihua, Qing Xinlin, Linear-dispersive signal construction method based on measured relative wavenumbers,  Chinese Journal of Scientific Instrument, 34(4): 948-954, 2013.
[13] Cai Jian, Shi Lihua, Qing Xinlin, DU Chaoliang, Lamb Wave High-resolution Damage Imaging Method Based on Non-dispersive Signal Construction, Acta Aeronautica et Astronautica Sinica, 34(8): 1815-1823, 2013.
[14] ZHAO Lin, ZHANG Boming, QING Xinlin, XIE Huimin,  In-plane shear properties and damage process of comosites based on unit cell analytic model, Acta Materiae Composiate Sinica, 30: 153-157, 2013.
[15] GUO Yanli, LI Xu, YE Jinrui, BAI Guanghui, QING Xinlin, ZHANG Boming, YAN Dongxiu, SHAO Yan, High-density distributed fiber optic sensing system based on rayleigh backscattering effect，Acta Materiae Composiate Sinica, 30: 247-250, 2013.
[16] Du, C., Wang, Y., Gao, D., Liu, K. and Qing, X., In-situ quantitative monitoring of fatigue crack using fastest time of flight diffraction method.Transactions of Nonferrous Metals Society of China, 22(11)：2679−2684,2012.
[17] QING Xin-lin, WANG Yi-shou, ZHAO Lin, Structural Health Monitoring Technology and Its Application in Aeronautics and Astronautics, Journal of Experiment Mechanics, 27(5):517-526, 2012.
[18] QING Xin-lin, WANG Yi-shou, GAO Limin, WU Zhanjun, Multifunctional Structural State Sensing System for composite Structures, Journal of Experiment Mechanics, 2011, 26(5): 611-616.
[19] Banerjee, S., Qing, X., Beard, S. and Chang, K.-K., Prediction of Progressive Damage State at the Hot Spots Using Statistical Estimation, Journal ofIntelligent Material Systems and Structures, 2010.
[20] Qing, X. P., Beard, S., Shen, S., Banerjee, S. etc. Development of a real-timeactive pipeline integrity detection system, Smart Materials and Structures, Vol.18, No. 11, 2009.
[21] Qing, X. P., Beard, S. J., Ikegami, R., Chang, F.-K. and Boller, C., Aerospace applications of SMART Layer technology, Encyclopedia of Structural Health Monitoring, Wiley, 2009.
[22] Qing, X. P., Beard, S. J., Kumar, A., etc., SMART Layer Technology and its applications, Encyclopedia of Structural Health Monitoring, Wiley, 2009.
[23] Wu, Z., Qing, X. and Chang, F.-K., Damage detection for composite laminate plates with a distributed hybrid PZT/FBG sensor network, of Intelligent Material Systems and Structures, Vol. 20, No. 9, 2009.
[24] Qing, X. P., Beard, S. J., Kumar, A., etc., Performance of piezoelectric sensors based SHM system under combined cryogenic temperature and vibration environment, Smart Materials and Structures, Vol. 17, No.5, 2008.
[25] Wu, Z., Qing, X., Ghosh, K., Karbhar, V. and Chang, F.-K., Health monitoring of bonded composite repair in bridge rehabilitation, Smart Materials and Structure, Vol. 17, No.4, 2008.
[26] Qing, X. P., Beard, S., etc., Built-in sensor network for structural health monitoring of composite structure, Journal of Intelligent Material Systems and Structures, Vol. 18, No. 1, 2007.
[27] Hua, T., Xie, H., Pan, B., Qing, X., etc. A new micro-tensile system for measuring the mechanical properties of low-dimensional materials-Fibers and films, Polymer Testing, 26 (4), 2007.
[28] Qing, X. P., Beard, S. J., Kumar, A. and Hannum, R., A real-time active smart patch system for monitoring the integrity of bonded repair on an aircraft structure, Smart Materials and Structures, Vol. 17, June, 2006.
[29] Qing, X. P., Beard, S. J., Kumar, A. etc., Advances in the development of built-in diagnostic system for filament wound composite structures, Composite Science and Technology, Vol. 66, No. 11-12, 2006.
[30] Qing, X. P., Chan, H.-L., Beard, S. J., etc., Effect of adhesive on the performance of piezoelectric transducer for structural health monitoring, International Journal of Adhesion and Adhesive, 26, 2006.
[31] Qing, X. P., Chan, H.-L., Beard S. J. and Kumar, A., A smart tape diagnostic system for structural health monitoring of rocket engine, Journal of Intelligent Material Systems and Structures, July, 2006.
[32] Qing, X., Kumar, A., Zhang, C. , etc., Hybrid piezoelectric/fiber optic diagnostic system for structural health monitoring, Smart Materials and Structures, Vol.14, No.3, 2005.
[33] Qing, X., Chang, F.-K. and Starnes, J., Damage tolerance of notched composite laminates with reinforcing strips, Journal of Composite Materials, Vol. 37, No.2, 2003.
[34] Sun, H., Chang, F.-K. and Qing, X., The Response of composite joints with bolt clamping loads Part I: model development, Journal of Composite Materials, Vol. 36, No.2. 2002.
[35] Sun, H., Chang, F.-K., and Qing, X., The response of composite joints with bolt clamping loads Part II: model verification, Journal of Composite Materials, Vol.36, No. 2. 2002.
[36] Sehitoglu, H., Qing, X., Smith, T., Maier, H. and Allison, J., Stress-strain response of a cost Al319-T6 under thermo-mechanical loading, Physical Metallurgy and Materials Science A: Metallurgical and Materials Transactions, Jan., 2000.
[37] Qing, X., Gu, Y., Dai, F. and Liang, K., Crack-tip transformation zones of CeO2-stabilized tetragonal ZrO2 polycrystals. J. Mater. Sci. Lett. Vol. 16, No 8, 1997.
[38] Qing, X., Qin, Y. and Dai, F., Experimental investigation of micromechanical behavior of advanced materials by moire interferometry. Opt. & Las. in Eng., Vol. 25, No 2-3,