帥旗(重慶大學汽車工程學院講師)

帥旗，男，1986年6月生，博士，重慶大學汽車工程學院講師、碩士生導師。

基本介紹

• 中文名：帥旗
• 畢業院校：康乃狄克大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：機械工程
• 職務：重慶大學汽車工程學院碩士生導師
• 職稱：講師

人物經歷

工作經歷

2017.09 - 2020.01，重慶大學汽車工程學院，講師

2011.09 - 2017.08，康乃狄克大學機械工程學院，研究助理

教育經歷

2011.09-2017.05，康乃狄克大學，機械工程，博士

2008.09-2011.06，重慶大學，車輛工程，碩士

2004.09-2008.06，重慶大學，車輛工程，本科

研究方向

1. 結構健康監測

2. 汽車發動機懸置系統，前端輪系最佳化設計

3. 壓電感測器及電磁感測器等智慧型感測器建模及套用

學術成果

科研項目

1. 基於電磁阻抗技術的電動汽車減速器齒輪健康監測研究，中央高校基本科研業務費專項項目，2018-2019，主持

2. 嘉陵X09項目輪邊分動箱CAE分析，橫向項目，2018-2019，主持

3. 容大RDC27CVT零部件強度CAE分析，橫向項目，2018-2019，參與

4. 用於結構故障診斷的高頻感應系統，美國空軍科研辦公室資助項目，2011-2013，參與

5. 保障鐵路安全的自動無線感測系統，美國國土安全部資助項目，2013-2014，參與

6. 航空結構中的先進故障診斷及識別方法，美國空軍科研辦公室資助項目，2014-2017，參與

學術論文

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, Shiyuand 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.” InSPIE 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.”InSPIE 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.”InSPIE 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.” InSPIE 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." InASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, pp. V001T05A007-V001T05A007. American Society of Mechanical Engineers, 2014.