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侯吉林
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副教授
博士生导师
硕士生导师
- 性别：男
- 毕业院校：哈尔滨工业大学
- 学位：博士
- 所在单位：土木工程系
- 学科：结构工程
- 办公地点：建设工程学院4号楼433
- 电子邮箱：houjilin@dlut.edu.cn
访问量：
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[21] Zhang, Qingxia.Bridge Damage Identification Using Vehicle Bump Based on Additional Virtual Masses[J],SENSORS,2022,20(2)
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[22] 侯吉林.Constrained mode decomposition method for modal parameter identification[J],STRUCTURAL CONTROL & HEALTH MONITORING,2022
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[23] 侯吉林.Construction of Virtual Structure for Damage Identification[A],The 6th world conference on structural control and monitoring (6WCSCM),2022
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[24] Yan, N..Dependence of upstream SOL density shoulder on divertor neutral pressure observed in L-mode and H-mo[J],NUCLEAR FUSION,2022,61(7)
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[25] 侯吉林.Damage Identification Based on Adding Mass for Liquid-Solid Coupling Structures[J],Applied Sciences Basel,2022,10(7)
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[26] 侯吉林.Damage identification for simply nonlinear structure using substructure isolation metho[A],International Symposium on Innovation & Sustainability of Structures in Civil Engineering (ISISS-2013),2022
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[27] Zhang, Qingxia.Damage Identification Method Using Additional Virtual Mass Based on Damage Sparsity[J],APPLIED SCIENCES-BASEL,2022,11(21)
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[28] 侯吉林.Damage identification of suspender cables by adding virtual supports with the substructure isolation[J],Structural Control Health Monitoring,2022
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[29] 侯吉林.Damage identification of suspender cables by adding virtual supports with the substructure isolati[J],Structural Control Health Monitoring,2022,28(3)
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[30] 侯吉林.Damage identification using additional virtual masses based on virtual distortion method[A],7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015,2022
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[31] 王雷.Modal analysis of Dongying Yellow River Bridge for long term monitoring[A],Conference on Sensors and Smart Structures Technologies for Civil,
Mechanical, and Aerospace Systems 2011,2022,7981
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[32] 侯吉林.online substructure identification method for local structural health monitoring[J],SMART MATERIALS STRUCTURES,2022,22(9):1-12
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[33] 侯吉林.Optimal Placement of Virtual Masses for Structural Damage Identification[J],SENSORS,2022,19(2)
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[34] 李冬生.Pipeline Damage Identification Based on Additional Virtual Masses[J],Applied Sciences Basel,2022,7(10)
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[35] 王雷.Research on probabilistic model of vehicle loads on express way[A],Conference on Sensors and Smart Structures Technologies for Civil,
Mechanical, and Aerospace Systems,2022,8692
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[36] Zhang, Qingxia.Road Roughness Estimation Based on the Vehicle Frequency Response Function[J],ACTUATORS,2022,10(5)
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[37] Ruan, Yanfeng.Self-damping cementitious composites with multi-layer graphene[J],Materials Research Express,2022,4(7)
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[38] 侯吉林.Structural damage identification by adding virtual masses[J],STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION,2022,48(1):59-72
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[39] 侯吉林.Structural Damage Localization and Quantification Based on Additional Virtual Masses and Bayesian [J],JOURNAL OF ENGINEERING MECHANICS,2022,144(10)
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[40] 侯吉林.Structural Health Monitoring Based on Combined Structural Global and Local Frequencies[J],MATHEMATICAL PROBLEMS IN ENGINEERING,2022
