工作经历

2021.01 - 至今，      重庆大学机械与运载工程学院，讲师

2017.09 - 2020.01，重庆大学汽车工程学院，讲师

2011.09 - 2017.08，康涅狄格大学机械工程学院，研究助理

研究方向

1. 结构健康监测，智能传感器及智能结构设计与应用

2. 汽车发动机悬置系统，前端轮系优化设计

3. 多物理场建模及仿真计算

主持或参与科研项目

1. 基于电磁阻抗技术的电动汽车减速器齿轮健康监测研究，中央高校基本科研业务费专项项目，2018-2019，主持

2. 齿轮传动系统数字化设计分析软件开发，科技部国家重点研发计划（课题），2019-2022， 参与

3. 嘉陵X09项目轮边分动箱CAE分析，横向项目，2018-2019，主持

4. 容大RDC27CVT零部件强度CAE分析，横向项目，2018-2019，参与

学术论文及会议论文

1. Shuai, Q. and Tang, J., “Direct compensation of lift-off oscillation effect in magnetic impedance–based damage detection.”Journal of Intelligent Material Systems and Structures, V26(17), pp.2351-2361,2015.

2. Shuai, Q. and Tang, J., “Enhanced modeling of magnetic impedance sensing system for damage detection.”Smart Materials and Structures, V23(2), 25008, 2013.

3. Shuai, Q., Zhou, K., Zhou, Shiyu and Tang, J., “Fault identification using piezoelectric impedance measurement and model-based intelligent inference with pre-screening.”Smart Materials and Structures,V26, 2017.

4. Liu, Y.,Shuai, Q., Zhou, S., and Tang, J. “Prognosis of structural damage growth via integration of physical model prediction and bayesian estimation.”IEEE Transactions on Reliability, PP(99), 1-12，2017.

5. Cao, P.,Shuai, Q., and Tang, J., “Structural damage identification using piezoelectric impedance measurement with sparse inverse analysis,” Smart Materials and Structures, V27(3), 035020, 2018.

6. Cao, P.,Shuai, Q., and Tang, J., “A multi-objective DIRECT algorithm toward structural damage identification with limited dynamic response information,” ASME Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, V1(2), 021004, 2018.

7. Shuai, Q., Liang, G. and Tang, J., “Piezoelectric admittance-based damage identification by Bayesian inference with pre-screening.” In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 97990C-97990C. International Society for Optics and Photonics, 2016.

8. Shuai, Q., Zhou, K. and Tang, J., “Structural damage identification using piezoelectric impedance and Bayesian inference.”In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 94351R-94351R. International Society for Optics and Photonics, 2015.

9. Shuai, Q. and Tang, J., “Lift-off effect compensation for magnetic impedance-based damage detection.” In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 90610S-90610S. International Society for Optics and Photonics, 2014.

10. Shuai, Q. and Tang, J., “Improved modeling of magnetic impedance sensing system for damage detection.” In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring,pp. 86920M-86920M. International Society for Optics and Photonics, 2013.

11. Zhou, K.,Shuai, Q. and Tang, J., "Adaptive damage detection using tunable piezoelectric admittance sensor and intelligent inference." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, pp. V001T05A007-V001T05A007. American Society of Mechanical Engineers, 2014.