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余岭
2023-05-11 07:38
  • 余岭
  • 余岭 - 教授 博士生导师-暨南大学-力学与建筑工程学院-个人资料

近期热点

资料介绍

个人简历


余岭,暨南大学,力学与建筑工程学院,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”到暨南大学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,是暨南大学首届“优秀研究生指导教师(2016-2017)”和暨南大学“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。
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面上项目4项和重点项目子项1项,省部级基金项目8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46篇(共被引1267次,单篇引用最高次数达297次,H index-17)、EI收录131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10项。已成功指导硕、博士研究生40人。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、建筑与土木工程(专业学位)。欢迎有志青年才俊报考。
近年培养人才成效:
1. 2020年,陈承滨荣获“2020届暨南大学优秀毕业研究生”荣誉称号
2. 2019年,潘楚东的博士论文《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
3. 2018年,陈承滨荣获硕士研究生国家奖学金
4. 2017年,潘楚东荣获博士研究生国家奖学金
5. 2017年,骆紫薇荣获硕士研究生国家奖学金
6. 2016年,罗文峰荣获硕士研究生国家奖学金
7. 2015年,陈泽鹏荣获硕士研究生国家奖学金
A very brief introduction 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
 
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
 
工作经历
2016-- 今  暨南大学,力学与建筑工程学院,研究员、博士生导师
2013/01-03 Australia, Queensland University of Technology, Visiting Fellow
2006--2016 暨南大学,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
承担课题
仅列出作为主持人所承担的课题:
1. 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)
2. 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)
3. 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)
4. 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)
5. 桥梁移动荷载的动态识别,国家自然科学基金项目(2004-2006)
6. 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(2017-2020)
7. 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)
8. 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)
9. 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)
10. 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)
11. 移动重车作用下桥梁损伤识别与健康诊断,暨南大学引进优秀人才科研启动基金项目(2007-2009)
12. 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)
13. 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)
14. 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)
15. 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)
16. 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)
17. 桥梁移动车载与结构健康监测之关联研究,国家外专局资助暨南大学聘请外国文教专家项目 (Prof. S. S. Law, The Hong Kong Polytechnic University, Hong Kong) (2012)
18. 桥梁荷载与健康监测之关联研究,国家外专局资助暨南大学聘请外国文教专家项目 (Prof. T. H. T. Chan, Queensland University of Technology, Australia) (2010)
19. 结构荷载、安全与健康监测研讨与试验研究,国家外专局资助暨南大学聘请外国文教专家项目 (Prof. C. A. Tan, Wayne State University, USA) (2009)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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)
25. 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)
26. 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)
27. 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
28. 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
29. 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)
30. 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)
31. 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)
32. 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)
33. 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)
34. 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)
35. 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)
36. 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)
37. 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)
 
发明专利
1. 基于ALO-INM与加权迹范数的结构损伤识别方法,CN 201910575706.3,2019
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,CN 201810987045.0,2018
3. 一种基于截断响应稀疏分解法的外荷载实时识别方法,CN 201810889316.9,2018
4. 一种含裂纹梁结构单元损伤因子的等效方法,CN 201810785591.6,2018
5. 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 201810742249.8,2018
6. 一种基于压缩感知理论的桥梁移动荷载识别方法,ZL 201710524508.5,2017
7. 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 201710523506.4,2017
8.一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 201610876895.4,2016
9. 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 201610576074.9,2016
10. 水工闸门流激振动模型材料,ZL 03125312.1,2006
 
讲授课程
本科生课程:振动力学、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

研究领域


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。""

近期论文


1. 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
2. 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.
3. 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.
4. 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.
5. 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.
6. 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
7. 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
8. 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
9. Pan C.D. and Yu L.* (2019). Sparse regularization_x005f_x001e_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
10. 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
11. Yue Z.G., Chen Z.P. and Yu L.* (2019). Comparative studies on structural damage detection using Lp norm regularization, Int. J. Lifecycle Performance Engineering, 3(2): 171–186. https://doi.org/10.1504/IJLCPE.2019.100346
12. 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
13. 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: 479-496. https://doi.org/10.1016/j.ymssp.2019.03.043
14. 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
15. 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
16. 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
17. 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
18. 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: 32-49. https://doi.org/10.1016/j.ymssp.2017.04.032
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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, Vol. 2014, Article ID 718702, 12 papers. http://dx.doi.org/10.1155/2014/718702
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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): 0510071-05100713. doi: 10.1115/1.4002125
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
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