一、个人简介
余岭，必赢437官方网站，必赢437官方网站，研究员、博士生导师；“湖北省楚天学者计划”特聘教授。
2006年作为“引进人才”到必赢437官方网站力学与土木工程系和“重大工程灾害与控制”教育部重点实验室工作至今，是必赢437官方网站首届“优秀研究生指导教师（2016-2017）”和必赢437官方网站“优秀共产党员（2011）”；曾工作于东风汽车公司、湖北工业大学和长江水利委员会长江科学院；曾任长江科学院爆破与振动研究所总工程师、教授级高级工程师以及水利部岩土力学与工程重点实验室（长江科学院）副总工程师；1997以来先后多次赴德国、澳大利亚和香港等地开展国际合作研究工作。
长期从事桥梁荷载识别、结构损伤与健康诊断、结构抗震与工程减隔振、结构动力仿真与反演、汽车振动噪声与舒适性（NVH）等研究工作。曾先后参与完成国际合作项目7项，主持完成国家自然科学基金项目6项（含面上项目5项和重点项目子项1项），省部级基金项目9项，三峡工程、南水北调工程、香港青马大桥等大中型工程科研项目30余项。主编科研报告20余篇，公开发表学术论文240余篇，其中SCI收录60篇（含十余篇MSSP, Meas, ES, JSV等Top期刊论文；Google Scholar共被引2967次，单篇引用最高次数达640次，h-index: 28，i10-index: 49）、EI收录150余篇以及ISTP收录48篇；多次应邀出席国际学术会议，担任国际学术会议分会主席或科学委员会委员，并做大会主旨报告、特邀报告及口头报告70余篇；研究成果获广东省科学技术奖(自然科学) 二等奖、大禹水利科学技术奖二等奖、湖北省科学技术奖(自然科学) 三等奖等奖项以及国家发明专利11项。
已成功指导硕、博士研究生50余人。博士后选聘学科：力学；博士生招生专业：工程力学；硕士生招生专业：工程力学、固体力学、土木水利（专业学位）。欢迎有志青年才俊报考。
近年培养人才成效：
1. 2022年，刘焕林博士的学位论文《不同先验信息下的移动荷载识别研究》被评为广东省力学学会优秀博士论文
2. 2021年，骆紫薇博士荣获“2021届必赢437官方网站优秀毕业研究生”荣誉称号
3. 2020年，陈承滨硕士荣获“2020届必赢437官方网站优秀毕业研究生”荣誉称号
4. 2019年，潘楚东博士的学位论文《桥梁移动荷载与结构损伤稀疏正则化识别》被评为广东省力学学会优秀博士论文
5. 2018年，陈承滨荣获硕士研究生国家奖学金
6. 2017年，潘楚东荣获博士研究生国家奖学金
7. 2017年，骆紫薇荣获硕士研究生国家奖学金
8. 2016年，罗文峰荣获硕士研究生国家奖学金
9. 2015年，陈泽鹏荣获硕士研究生国家奖学金
A very brief biography of Prof. Ling Yu in English is also provided in the following websites:
ORCID:https://orcid.org/0000-0002-0139-0966
Research Gate:https://www.researchgate.net/profile/Ling_Yu12
Google Scholar:https://scholar.google.com/citations?user=5STDOe0AAAAJ&hl=en
二、学习经历
1998--2001 The Hong Kong Polytechnic University, Civil Engineering, Ph.D.
1986--1989 南京航空航天大学，固体力学，硕士
1982--1986 南京航空航天大学，直升机设计，学士
三、工作经历
2016-- 今 必赢437官方网站，必赢437官方网站，研究员、博士生导师
2013/01-03 Australia, Queensland University of Technology, Visiting Fellow
2006--2016 必赢437官方网站，力学与土木工程系，研究员、博士生导师
2004--2006 Hong Kong, The Hong Kong Polytechnic University, Department of Civil & Structural Engineering, Postdoctoral Fellow
2001--2002 Hong Kong, The Hong Kong Polytechnic University, Department of Civil & Structural Engineering, Research Associate
1998/05-08 Germany, University of Kassel, Visiting Scholar
1997--1998 Hong Kong, The Hong Kong Polytechnic University, Department of Civil & Structural Engineering, Research Assistant
1995--2006 长江科学院，爆破与振动研究所，高工（1996）、教授级高工（2003）、总工程师（2003）
1992--1995 湖北工业大学，机械系，讲师
1989--1992 东风汽车公司，技术中心，助理工程师
四、研究方向
1. 桥梁移动荷载识别、工程力学中的反问题
2. 结构损伤识别与智能健康监测
3. 结构抗震与工程减隔振、病险结构物检测与加固
4. 汽车噪声、振动与乘坐舒适性(NVH)
1. Hou Z.L., Yu L.*, Liang Y., Xu B.H. and Lei Y.D. (2024). Integrating L1 and weighted L2 regularization for moving force identification from combined response measurements. Measurement, 228(2024) 114337. https://doi.org/10.1016/j.measurement.2024.114337
2. Li J.W., Yu L.*, Qi T.R. and Chen Y.H. (2024). Structural damage identification based on quadratic optimization of objective functions with modal residual force and weighting strategy. ASCE-Journal of Aerospace Engineering, 37(1) 04023089. https://doi.org/10.1061/JAEEEZ.ASENG-5150
3. Xu B.H., Chen Y.H. and Yu L.* (2023). Identification of moving vehicle loads using instantaneous vision-based vehicle spatiotemporal information and improved time domain method. International Journal of Structural Stability and Dynamics, (2024) 2450163. https://doi.org/10.1142/S0219455424501633
4. Liang Y., Hou Z.L. and Yu L.* (2023). An improved block orthogonal matching pursuit for moving force identification using block-sparse compressed sensing. Measurement, 222(2023) 113632. https://doi.org/10.1016/j.measurement.2023.113632
5. Chen Z.P., Zhao D., Liu Q.T., Zhang Z.Y. and Yu L.* (2023). A novel improved dragonfly algorithm based structural damage identification approach using flexibility assurance criterion and Trace Lasso.International Journal of Structural Stability and Dynamics, (2024) 2450144.https://doi.org/10.1142/S021945542450144X
6. Xu B.H. and Yu L.* (2023). A novel regularized adaptive matching pursuit for moving force identification using multiple criteria and prior knowledge. International Journal of Structural Stability and Dynamics, (2023) 2350117.https://doi.org/10.1142/S0219455423501171
7. Zhong X. and Yu L.* (2022). Structural damage identification based on transmissibility assurance criterion and weighted Schatten-𝑝 regularization. Structural Engineering and Mechanics, 82(6) 771-783.https://doi.org/10.12989/sem.2022.82.6.771
8. Zhang L.Q., Liang Y. and Yu L.* (2022). Moving force identification based on group Lasso and compressed sensing. International Journal of Structural Stability and Dynamics, (2022) 2250170.https://doi.org/10.1142/S021945542250170X
9. Chen Z., Qin L., Chan T.H.T. and Yu L.* (2021). A novel preconditioned range restricted GMRES algorithm for moving force identification and its experimental validation. Mechanical Systems and Signal Processing, 155(2021) 107635.https://doi.org/10.1016/j.ymssp.2021.107635
10. Liu H.L., Luo Z.W. and Yu L.* (2021). A semi-convex function for both constant and time-varying moving force identification. Mechanical Systems and Signal Processing, 146(2021) 107062.https://doi.org/10.1016/j.ymssp.2020.107062
11. Luo Z.W., Liu H.L. and Yu L.* (2021). A multi-state strategy for structural damage detection using sensitivity of weighted transmissibility function. International Journal of Structural Stability and Dynamics, 21(10) 2150144.https://doi.org/10.1142/S0219455421501443.
12. Chen Z., Sun P.D., Chan T.H.T. and Yu L.* (2021). Ill-posedness determination of moving force identification and parameters selection for regularization methods. International Journal of Structural Stability and Dynamics, 21(8) 2150114.https://doi.org/10.1142/S0219455421501145.
13. Liu H.L., Li C., Yu L.*, Wang Y.F. and Zhong J.W. (2021). Onsite identification of moving vehicle loads on multi-span continuous bridge using both dictionary expansion and sparse regularization. ASCE-Journal of Aerospace Engineering,34(3) 04021018. https://doi.org/10.1061/(ASCE)AS.1943-5525.0001258
14. Luo Z.W., Liu H.L. and Yu L.* (2021). Weighted transmissibility assurance criterion for structural damage detection.ASCE-Journal of Aerospace Engineering, 34(3) 04021016.https://doi.org/10.1061/(ASCE)AS.1943-5525.0001251
15. Luo Z.W. and Yu L.* (2021). Regularization strategies for contiguous and noncontiguous damage detection of structures. International Journal of Computational Methods, 18(6) 2140001.https://doi.org/10.1142/S0219876221400016
16. Luo Z.W., Yu L.*, Liu H.L. and Chen Z.X. (2020). Anti-sparse representation for structural model updating using l∞ norm regularization. Structural Engineering and Mechanics, 75(4) 477-785. http://dx.doi.org/10.12989/sem.2020.75.4.477
17. Chen Z.X. and Yu L.* (2020). A novel WOA-based structural damage identification using weighted modal data and flexibility assurance criterion. Structural Engineering and Mechanics, 75(4) 445-454.http://dx.doi.org/10.12989/sem.2020.75.4.445
18. Liu H.L., Yu L.*, Luo Z.W. and Chen Z.X. (2020). Multi-strategy structural damage detection based on included angle of vectors and sparse regularization. Structural Engineering and Mechanics, 75(4) 415-424. http://dx.doi.org/10.12989/sem.2020.75.4.415
19. Chen L.J., Yu L., Fu J.Y. and Ng C.T. (2020). Nonlinear damage detection using linear ARMA Models with classification algorithms. Smart Structures and Systems, 26(1) 23-33.https://doi.org/10.12989/sss.2020.26.1.023
20. Chen Z., Chan T.H.T. and Yu L.* (2020). Comparison of regularization methods for moving force identification with ill-posed problems. Journal of Sound and Vibration, 478(2020) 115349.https://doi.org/10.1016/j.jsv.2020.115349
21. Liu H.L., Yu L.*, Luo Z.W. and Pan C.D. (2020). Compressed sensing for moving force identification using redundant dictionaries. Mechanical Systems and Signal Processing, 138(2020) 106535. https://doi.org/10.1016/j.ymssp.2019.106535
22. Chen C.B. and Yu L.* (2020). A hybrid ant lion optimizer with improved Nelder–Mead algorithm for structural damage detection by improving weighted trace lasso regularization. Advances in Structural Engineering, 23(3) 468-484.https://doi.org/10.1177/1369433219872434
23. Pan C.D. and Yu L.* (2019). Sparse regularization based damage detection in a bridge subjected to unknown moving forces. Journal of Civil Structural Health Monitoring, 9(3) 425-438.https://doi.org/10.1007/s13349-019-00343-w
24. Pan C.D. Liu H.L. and Yu L.* (2019). A sparse self-estimated sensor-network for reconstructing moving vehicle forces. Smart Materials and Structures, 28(8) 085009.https://doi.org/10.1088/1361-665X/ab28ed
25. Pan C.D. and Yu L.* (2019). Identification of external forces via truncated response sparse decomposition under unknown initial conditions. Advances in Structural Engineering, 22(15) 3161-3175.https://doi.org/10.1177%2F1369433219859479
26. Chen Z., Chan T.H.T., Nguyen A. and Yu L. (2019). Identification of vehicle axle loads from bridge responses using preconditioned least square QR-factorization algorithm. Mechanical Systems and Signal Processing, 128(2019) 479-496.https://doi.org/10.1016/j.ymssp.2019.03.043
27. Chen C.B., Pan C.D., Chen Z.P. and Yu L.* (2019). Structural damage detection via combining weighted strategy with trace Lasso. Advances in Structural Engineering, 22(3) 597-612.https://doi.org/10.1177/1369433218795310
28. Zhong J.W., Liu H.L. and Yu L.* (2019). Sparse regularization for traffic load monitoring using bridge response measurements. Measurement, 131(2019) 173-182.https://doi.org/10.1016/j.measurement.2018.07.044
29. Chen Z.P., Pan C.D. and Yu L.* (2018). Structural damage detection via adaptive dictionary learning and sparse representation of measured acceleration responses. Measurement, 128(2018) 377-387.https://doi.org/10.1016/j.measurement.2018.06.046
30. Chen Z.P. and Yu L.* (2018). A new structural damage detection strategy of hybrid PSO with Monte Carlo simulations and experimental verifications. Measurement, 122(2018) 658-669.https://doi.org/10.1016/j.measurement.2018.01.068
31. Pan C.D., Yu L.*, Liu H.L., Chen Z.P. and Luo W.F. (2018). Moving force identification based on redundant concatenated dictionary and weighted l1-norm regularization. Mechanical Systems and Signal Processing, 98(2018) 32-49.https://doi.org/10.1016/j.ymssp.2017.04.032
32. Pan C.D., Yu L.* and Liu H.L. (2017). Identification of moving vehicle forces on bridge structures via moving average Tikhonov regularization. Smart Materials and Structures, 26 (8) 085041.https://doi.org/10.1088/1361-665X/aa7a48
33. Chen Z.P. and Yu L.* (2017). A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function. Structural Engineering and Mechanics, 63(6) 825-835.https://doi.org/10.12989/sem.2017.63.6.825
34. Yu L.* and Zhu J.H. (2017). Structural damage prognosis on truss bridges with end connector bolts. ASCE-Journal of Engineering Mechanics, 134(3) B4016002.https://doi.org/10.1061/(ASCE)EM.1943-7889.0001052
35. Yu L.* and Lin J.C. (2017). Cloud computing-based time series analysis for structural damage detection. ASCE-Journal of Engineering Mechanics, 134(1) C4015002.https://doi.org/10.1061/(ASCE)EM.1943-7889.0000982
36. Pan C.D., Yu L.*, Chen Z.P., Luo W.F. and Liu H.L. (2016). A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection. Smart Structures and Systems, 17(6) 957-980.http://dx.doi.org/10.12989/sss.2016.17.6.957
37. Yu L.* and Zhu J.H. (2015). Nonlinear damage detection using higher statistical moments of structural responses. Structural Engineering and Mechanics, 54(2) 221-237.http://dx.doi.org/10.12989/sem.2015.54.2.221
38.Jia H.K., Yu L.* and Wu G.Y. (2014). Damage assessment of two-way bending RC slabs subjected to blast loadings. The Scientific World Journal, (2014) 718702. http://dx.doi.org/10.1155/2014/718702
39. Yu L.* and Li C. (2014). A global artificial fish swarm algorithm for structural damage detection. Advances in Structural Engineering, 17(3) 331-346.https://doi.org/10.1260/1369-4332.17.3.331
40. Chen L.J. and Yu L.* (2013). Structural nonlinear damage identification algorithm based on time series ARMA/GARCH model. Advances in Structural Engineering, 16(9) 1597-1609.https://doi.org/10.1260/1369-4332.16.9.1597
41. Yu L.*, Zhu J.H. and Yu L.L. (2013). Structural damage detection in a truss bridge model using fuzzy clustering and measured FRF data reduced by principal component projection. Advances in Structural Engineering, 16(1) 207-217.https://doi.org/10.1260/1369-4332.16.1.207
42. Zhu J.H., Yu L.* and Yu L.L. (2012). An eigenspace projection clustering method for structural damage detection. Structural Engineering and Mechanics, 44(2) 179-196.http://dx.doi.org/10.12989/sem.2012.44.2.179
43. Yu L.* and Xu P. (2011). Structural health monitoring based on continuous ACO method. Microelectronics Reliability, 51(2) 270-278.https://doi.org/10.1016/j.microrel.2010.09.011
44. Yu L. and Yin T. (2010). Damage identification in frame structures based on FE model updating. Journal of Vibration and Acoustics -Transactions of the ASME, 132(5) 051007.doi: 10.1115/1.4002125
45. Yu L., Chan T.H.T. and Zhu J.H. (2008). A MOM-based algorithm for moving force identification: part I – theory and numerical simulation. Structural Engineering and Mechanics, 29(2) 135-154.http://dx.doi.org/10.12989/sem.2008.29.2.135
46. Yu L., Chan T.H.T. and Zhu J.H. (2008). A MOM-based algorithm for moving force identification: part II – experiments and comparative studies. Structural Engineering and Mechanics, 29(2) 155-169.http://dx.doi.org/10.12989/sem.2008.29.2.155
47. Yin T., Zhu H.P. and Yu L. (2007). Noise analysis for sensitivity-based structural damage detection. Applied Mathematics and Mechanics-English Edition, 28(6) 741-750.doi:10.1007/s 10483-007-0604-3
48. Yu L. and Chan T.H.T. (2007). Recent research on identification of moving loads on bridges. Journal of Sound and Vibration, 305(1-2) 3-21.https://doi.org/10.1016/j.jsv.2007.03.057
49. Ashebo D.B., Chan T.H.T. and Yu L. (2007). Evaluation of dynamic load on skew box girder continuous bridge part I: field test and modal analysis. Engineering Structures, 29(6) 1052-1063.https://doi.org/10.1016/j.engstruct.2006.07.014
50. Ashebo D.B., Chan T.H.T. and Yu L. (2007). Evaluation of dynamic load on skew box girder continuous bridge part II: parametric study and dynamic load factor. Engineering Structures, 29(6) 1064-1073.https://doi.org/10.1016/j.engstruct.2006.07.013
51. Chan T.H.T., Yu L., Tam H.Y., Ni Y.Q., Liu S.Y., Chung W.H. and Cheng L.K. (2006). Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge: background and experimental observation. Engineering Structures, 28(5) 648-659.https://doi.org/10.1016/j.engstruct.2005.09.018
52. Yu L. and Chan T.H.T. (2005). Moving force identification from bridge dynamic response. Structural Engineering and Mechanics, 21(3) 369-374.http://dx.doi.org/10.12989/sem.2005.21.3.369
53. Yu L. and Chan T.H.T. (2004). Identification of multi-axle vehicle loads on bridges. Journal of Vibration and Acoustics -Transactions of the ASME, 126(1) 17-26. doi: 10.1115/1.1641391
54. Yu L. and Chan T.H.T. (2003). Moving force identification based on the frequency-time domain method. Journal of Sound and Vibration, 261(2) 329-349. https://doi.org/10.1016/S0022-460X(02)00991-4
55. Chan T.H.T., Yu L., Yung T.H. and Chan J.H.F. (2003a). A new bridge-vehicle system part I: formulation and validation. Structural Engineering and Mechanics, 15(1) 1-19. http://dx.doi.org/10.12989/sem.2003.15.1.001
56. Chan T.H.T., Yu L., Yung T.H. and Chan J.H.F. (2003b). A new bridge-vehicle system part II: parametric study. Structural Engineering and Mechanics, 15(1) 21-38. http://dx.doi.org/10.12989/sem.2003.15.1.021
57. Yu L. and Chan T.H.T. (2002). Moving force identification from bending moment responses of bridge. Structural Engineering and Mechanics, 14(2) 151-170.http://dx.doi.org/10.12989/sem.2002.14.2.151
58. Chan T.H.T., Yu L. and Yung T.H. (2001a). Moving force identification studies I: theory. Journal of Sound and Vibration, 247(1) 59-76.https://doi.org/10.1006/jsvi.2001.3630
59. Chan T.H.T., Yu L. and Yung T.H. (2001b). Moving force identification studies II: comparative studies. Journal of Sound and Vibration, 247(1) 77-95.https://doi.org/10.1006/jsvi.2001.3629
60. Chan T.H.T., Yu L. and Law S.S. (2000). Comparative studies on moving force identification from bridge strains in laboratory. Journal of Sound and Vibration, 235(1) 87-104.https://doi.org/10.1006/jsvi.2000.2909
六、承担课题
仅列出作为主持人所承担的课题：
1. 交通视频与稀疏表示融合的桥梁移动车载与结构损伤同步识别，国家自然科学基金项目（2022-2025）
2. 稀疏表示与云计算融合的桥梁结构损伤正则化识别方法研究，国家自然科学基金项目（2017-2020）
3. 时变环境下桥梁移动重车荷载与结构损伤协同识别方法研究，国家自然科学基金项目（2013-2016）
4. 移动重车作用下桥梁性能劣化及其损伤精细识别，国家自然科学基金项目（2010-2012）
5. 纤维增强先进复合材料及其结构失效机理的多尺度力学研究，国家自然科学基金重点项目二级子课题——纤维增强复合材料结构动态损伤失效研究（2011-2014）
6. 桥梁移动荷载的动态识别，国家自然科学基金项目（2004-2006）
7.基于稀疏表达的桥梁移动重车荷载识别，桥梁结构健康与安全国家重点实验室开放课题重点项目（2017-2021）
8. 创绿电动汽车车身轻量化关键技术及其应用研究，中央高校基本科研业务费专项（2011-2012）
9. 桥梁双向移动车载的精细识别，广东省自然科学基金项目（2010-2012）
10. 桥梁结构健康监测集群协同作业方法研究，中央高校基本科研业务费专项（2010-2011）
11. 泄洪结构健康监测的若干基础问题研究，湖北省楚天学者计划特聘教授--人才科研启动基金项目（2009-2014）
12. 移动重车作用下桥梁动力损伤演化与评估，教育部科学技术研究重点项目（2008-2009）
13. 移动重车作用下桥梁损伤识别与健康诊断，必赢437官方网站引进优秀人才科研启动基金项目（2007-2009）
14. 水工钢闸门模型损伤智能识别方法及其验证，中央级公益性科研院所科研资助项目（2007-2008）
15. 水工钢结构智能健康诊断技术研究，水利部科技创新项目（青年专项）（2003-2006）
16. 移动荷载识别技术，长江科学院水利水电科学基金项目（2004-2006）
17. 高拱坝大流量泄洪振动与控制研究，水利部水利技术开发基金项目（1995-1997）
18. Bridge loads and structural health monitoring，澳大利亚昆士兰科技大学（QUT）资助项目，应邀（Visiting Fellow）访问Prof. T. H. T. Chan at Queensland University of Technology, Australia. (Jan - Mar 2013)
19. 桥梁移动车载与结构健康监测之关联研究，国家外专局资助必赢437官方网站聘请外国文教专家项目(Prof. S. S. Law, The Hong Kong Polytechnic University, Hong Kong) （2012）
20. 桥梁荷载与健康监测之关联研究，国家外专局资助必赢437官方网站聘请外国文教专家项目(Prof. T. H. T. Chan, Queensland University of Technology, Australia) （2010）
21. 结构荷载、安全与健康监测研讨与试验研究，国家外专局资助必赢437官方网站聘请外国文教专家项目(Prof. C. A. Tan, Wayne State University, USA) （2009）
22. Independent study on the effects on adjacent properties due to blasting, 香港土木工程拓展署委托科研项目，主研（2005-2006）
23. Effective improvement on moving force identification system (MFIS)，香港理工大学博士后研究项目，博士后（2004-2006）
24. Innovative optical fiber sensors for structural health monitoring of Tsing Ma bridge, 大学联合资助基金(UGC)资助项目，主研（2002-2004）
25. Evaluation of dynamic loads for bridge design in Hong Kong，香港研究资助局(RGC) 资助项目，主研（2001-2002）
26. Accounting for bridge dynamic loads using moving force identification system，香港研究资助局(RGC) 资助项目，主研（1998-2001）
27. Damage detection in highway bridge based on model updating，大学研究基金(UGC) 资助项目，香港理工大学，主研（1997-1998）
28. Damage detection in structures using model modification technique，德国国家学术交流中心(DAAD)资助项目，应邀（Visiting Scholar）访问Prof. M. Link at University of Kassel, Federal Republic of Germany. (May - Aug 1998)
29. 广州市轨道交通六号线白沙河大桥钢—砼接头疲劳试验，广州市地下铁道总公司委托科研项目（2008-2009），主持人之一
30. 广州市轨道交通六号线白沙河大桥钢—砼接头应力传递路径试验，广州市地下铁道总公司委托科研项目（2008-2009），主持人之一
31. 狮子坪水电站放空洞闸门流激振动水弹性模型试验研究，国家电力公司成都勘测设计研究院委托科研项目（2003-2004）
32. 陆水水库泄洪建筑物金属结构及启闭机安全检测，陆水水库电厂委托科研项目（2003-2003）
33. 南水北调中线穿黄渡槽抗震分析，长江水利委员会长江规划勘测设计研究院委托科研项目（2002-2003）
34. 南水北调中线穿黄隧洞结构内外衬间设软夹层方案抗震分析，长江水利委员会长江规划勘测设计研究院委托科研项目（2002-2003）
35. 三峡水利枢纽左岸电站厂房抗振分析，三峡开发总公司委托科研项目（2002-2003）
36. 葛洲坝水利枢纽自备电厂试行期振动安全监测，葛洲坝水利枢纽自备电厂咨询项目（1996）
37. 清江郑家冲大桥船撞损伤振动检测与分析，清江郑家冲大桥建设指挥部咨询项目（1996）
38. 三峡右岸高石桥动荷载试验研究，长江水利委员会长江规划勘测设计研究院咨询项目（1994）
39. TMD减振技术及其在九江长江大桥上的应用，铁道部科研基金项目，主要参加者（1992-1995）
七、发明专利
1. 一种含裂纹梁结构单元损伤因子的等效方法，ZL 201810785591.6，2023
2. 融合多目标蚁狮优化与迹稀疏正则化的结构损伤识别方法，ZL 201810987045.0，2022
3. 一种基于截断响应稀疏分解法的外荷载实时识别方法，ZL 201810889316.9，2022
4. 基于ALO-INM与加权迹范数的结构损伤识别方法，ZL 201910575706.3，2021
5. 一种疲劳荷载计算模型的建立方法及系统，ZL 202011276692.4，2021
6. 一种基于压缩感知的桥梁移动车辆荷载识别方法，ZL 201710524508.5，2020
7. 一种基于子空间投影与稀疏正则化的结构损伤识别方法，ZL 201810742249.8，2020
8. 一种融合时序分析与信息熵的栓接结合部损伤识别方法，ZL 201710523506.4，2019
9. 一种基于级联字典与稀疏正则化的桥梁移动荷载识别方法，ZL 201610876895.4，2019
10一种基于L1/2正则化的桥梁移动荷载与损伤协同识别方法，ZL 201610576074.9，2019
11. 水工闸门流激振动模型材料，ZL 03125312.1，2006
八、讲授课程
本科生课程：振动理论、塑性力学、随机振动、专业英语
研究生课程：分析动力学、非线性振动、计算结构动力学
九、社会职务
1. 国家科学技术奖励评审专家、国家科技专家库评审专家、中国科协科技人才奖项评审专家、国家自然科学基金委员会同行评议专家、国家科学技术学术著作出版基金同行评议专家、国家级双语教学示范课程建设项目评审专家、教育部长江学者评审系统评审专家、教育部学位与研究生教育评估工作平台评审专家、教育部科技评价与评审信息系统评审专家、广东省科技业务网评和会评专家、山东、江苏、湖南、江西、河北、贵州、深圳等省市科技奖励评审以及科技咨询与管理系统评审专家
2. 华中科技大学兼职博导、河海大学博导、南京航空航天大学兼职教授
3. Members for ASCE, ISHMII, IABMAS & ISWIM，中国振动工程学会理事、中国振动工程学会模态分析与试验专业委员会副主任、广东省振动工程学会副理事长、中国仪器仪表学会设备结构健康监测与预警分会常务理事、广东省力学学会常务理事
4. 英文SCI期刊《Measurement》《ASCE-Journal of Aerospace Engineering》《Structural Engineering and Mechanics》等期刊客座主编；《Buildings》《Structural Durability & Health Monitoring》《振动工程学报》《振动与冲击》等期刊编委；国际和国内多种重要学术期刊审稿人
十、联系方式
必赢437官方网站必赢437官方网站，余岭 博士
地址：广州市天河区黄埔大道西601号，邮编：510632
电话：+86 20 85220476-2012
个人主页：https://faculty.jnu.edu.cn/lxjz/yl/list.htm
第
