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个人简介

陈隽,男,河南安阳人,博士,同济大学土木工程学院教授、博士生导师,上海市优秀学术带头人。1993年7月毕业于郑州工学院(现郑州大学),同年9月推免攻读硕士学位,1996年9月进入同济大学攻读博士学位,1999年10月博士毕业后留校任教。2001年7 月-2004 年7 月在香港理工大学土木及结构工程学系从事访问研究,2007年,2011年,2013年,分别在日本东京工艺大学、美国伊利诺伊大学香槟分校、英国曼彻斯特大学大学做短期访学。 主持纵向科研项目20项,其中包括国家自然科学基金重点项目1项,面上项目3 项,青年基金1项,作为骨干成员曾先后参与国家自然科学基金创新研究群体科学基金及国家“十一五”科技支撑计划、“十五”科技攻关计划等国家重点科研项目的研究。上海市高峰学科骨干教师,曾获上海市优秀学术带头人、教育部新世纪优秀人才,霍英东教育基金委优秀青年教师,上海市浦江人才等称号。 主要研究方向工程结构的单人及人群荷载建模、人致工程结构振动、工程结构的健康监测以及大数据技术在土木工程中的应用等。曾获国家自然科学二等奖、教育部、上海科技进步奖励等6项。曾开设或合作讲授《结构动力学》、《钢-混凝土组合结构》等研究生课程和《混凝土结构基本原理》、《混凝土特种结构》等本科生课程。 出版中文学术著作1部,作为Guest Editor 负责主编国际学术期刊专辑(Special Issue)1次,8次受邀在重要国内和国际学术会议上做大会邀请报告,在国内外学术期刊发表研究论文125 余篇(其中国内外核心刊物论文70余篇,被SCI 收录40篇篇)。 教育经历 1989.7~1993.9 郑州工学院 工业与民用建筑 本科 1993.9~1996.9 郑州工学院 结构工程 硕士 1996.9~1999.10 同济大学 结构工程 博士 荣誉与获奖 霍英东高等院校青年教师奖,教育部,2008年 入选上海市“浦江人才计划”,上海市,2006年 入选教育部“新世纪优秀人才”支持计划,教育部,2012年 入选上海市“优秀学术带头人”,上海市,2019年

研究领域

工程结构健康监测 生命线特种结构抗震 人致结构振动舒适度分析 工程结构信号分析

近期论文

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Jun Chen Ruotian Xu and Mengshi Zhang (2014), Acceleration response spectrum for predicting floor vibration due to occupant walking, J. of Sound and Vibration, 333, 3564-3579 Jun Chen*, Shixin Yan and Mengshi Zhang, Vibration performance assessment of a long-span concrete floor using field measurements over a five-year period, (2014), Advances in Structural Engineering, 17(8): 1145-1158 Jun Chen*, Mengshi Zhang, Yongfang Zhao and Hongsheng Zhan, Kinematic data smoothing using ensemble empirical mode decomposition, (2014), Journal of Medical Imaging and Health Informatics, 4(4):540-546 Jun Chen, Mengshi Zhang and Wei Liu, Vibration serviceability performance of an externally prestressed concrete floor during daily use and under controlled human activities, (2016), J. Perform. Constr. Facil. ASCE 30(2) 04015007. Yixin Peng, Jun Chen and Ding Guo, Walking load model for single footfall trace in three dimensions based on gait experiment, (2015), Structural Engineering and Mechanics, 54(5), 937-953 Vitomir Racic, Jun Chen, Data-driven generator of stochastic dynamic loading due to people bouncing, (2015), Computers and Structures, 158:240-250 James Brownjohn, Vitomir Racic, Jun Chen, Universal response spectrum procedure for predicting walking-induced floor vibration, Mechanical Systems and Signal Processing, (2016), 70-71:741-755 Jun Chen*, Haoqi Wang and Ling Wang, Experimental investigation on single person’s jumping load model, Earthquake Engineering and Engineering Vibration, (2015) 14:703-714, Jun Chen*, Guo Li and Vitomir Racic, Acceleration response spectrum for predicting floor vibration due to occupants jumping, (2016), Engineering Structures, 112: 71-80 Mengshi Zhang, Christos T. Georgakis and Jun Chen*, Biomechanically excited SMD model of a walking pedestrian (2016), Journal of Bridge Engineering, 21(8):C4016003-1 Jun Chen*, Huan Tan and Ziye Pan, Experimental validation of smartphones for measuring human-induced loads, (2016), Smart Structures and Systems, 18(3):625-642, Jun Chen*, Lei Wang, Vitomir Racic and Jiayue Lou, (2016), Acceleration response spectrum for prediction of structural vibration due to individual bouncing, Mechanical Systems and Signal Processing, 76-77: 394-408 Yongqun Zhang, Jun Chen* and Chaoxu Sun, Damage-based strength reduction factor for nonlinear structures subjected to sequence-type ground motions, Soil Dynamics and Earthquake Engineering, (2017), 92:298-311 Ruotian Xu, Jun Chen* and Xinqun Zhu, A hybrid approach for parameter optimization of multiple tuned mass damper in reducing floor vibrations due to occupant walking: Theory and parametric studies, Advances in Structural Engineering, 2017, Vol 20, No.8, pp1232-1246 Haoqi Wang, Jun Chen* and James M.W. Brownjohn, Parameter identification of pedestrian’s spring-mass-damper model by ground reaction force records through a particle filter approach, J. of Sound and Vibration 411 (2017) 409-421 Ziye Pan and Jun Chen*, Measurement of pedestrian’s load using smartphones, Structural Engineering and Mechanics, Vol. 63, No.6, (2017) 771-777 Jinping Wang and Jun Chen*, A comparative study on different walking load models, Structural Engineering and Mechanics, Vol. 63, No.6, (2017) 847-856 Jiecheng Xiong and Jun Chen*, Power spectral density function for individual jumping load, International Journal of Structural Stability and Dynamics, 2018, 18(2):1850023, Jun Chen*, Guo Li and Vitomir Racic, A data-driven wavelet-based approach for generating jumping loads, Mechanical System and Signal Processing, 2018, 106, pp.49-61 James Mark William Brownjohn*, Jun Chen, Mateusz Bocian, Vitomir Racic and Erfan Shahabpoor, Using inertial measurement units to identify medio-lateral ground reaction forces due to walking and swaying, J. of Sound and Vibration, 426(2018) 90-110 Guo Li, Tianjian Ji and Jun Chen*, Determination of the dynamic load factors for crowd jumping using motion capture technique, Engineering Structures, 174(2018):1-9 Jiecheng Xiong, Jun Chen*, Random field model for crowd jumping loads, Structural Safety, 76, Jan 2019, 197-209 Jun Chen*, Guo Ding and Stana Živanović, Stochastic single footfall trace model for pedestrian walking load, International Journal of Structural Stability and Dynamics, Vol 19, No. 3, 2019: 1950029 Xiaodan Ren, Weida Fan, Jie Li and Jun Chen*, Building information model-based finite element analysis of high-rise building community subjected to extreme earthquakes, Advances in Structural Engineering, 22(4), 2019, 971-981 Jun Chen*, Jinping Wang and James M. W. Brownjohn, Power spectral-density model for pedestrian walking load, Journal of Structural Engineering, ASCE, 2019, 145(2): 04018239 Haoqi Wang, Jun Chen* and Tomonori Nagayama, Parameter identification of spring-mass-damper model for bouncing people, J. of Sound and Vibration, 2019, 456:13-29 . Jiaxu Shen, Xiaodan Ren, Yongqun Zhang and Jun Chen*, Nonlinear dynamic analysis of frame-core building under seismic sequential ground motions by a supercomputer, Soil Dynamics and Earthquake Engineering, 2019, 124:13-29 Jun Chen*, Huan Tan, Katrien Van Nimmen, and Peter Van den Broeck, Data-driven synchronization analysis of a bouncing crowd, Shock and Vibration, Volume 2019, Article ID: 8528763

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