1.个人信息:
姓名:陈 浩 职称:教授
专业:车辆工程 学历层次:博士
办公室地点:交通大楼8B431 联系电话:13585901312
电子邮箱:pschenhao@163.com
研究方向:疲劳损伤智能诊断与检测、疲劳寿命智能预测、智能汽车系统失效评估
主讲课程:《汽车理论》、《汽车设计》
人才称号:上海市东方英才(2023)、上海市曙光学者(2019)、松江区领军人才(2021)
2.个人简历:
2017.12至今,威尼斯9499登录入口,威尼斯9499登录入口,教授
2011.07-2017.11,威尼斯9499登录入口,汽车工程学院,副教授
2012.02-2013.01,美国密歇根大学迪尔本分校,机械工程,访问学者
2011.01-2011.05,美国劳伦斯理工大学,机械工程,访问学者
2003.09-2008.06,中国农业大学,农业机械化工程,工学博士(硕博)
3.主要科研成果
(1)主要科研项目
上海市东方英才(拔尖项目),人才计划项目,2024-2026,负责人
上海市曙光计划项目(19SG051),人才计划项目,2020-2022,负责人
上海人才发展资金资助计划(2018053),人才计划项目,2019-2022,负责人
上海市自然基金项目(18ZR1416500),2018-2022,负责人
教育部人文社科项目(工程专项)(17JDGC031),2017-2020,负责人
上海市教委科研创新项目(13YZ109),2013-2015,负责人
国家自然基金项目(51305252),2014-2016,负责人
多模态智驾系统及平台研发与产业化,浦东新区科技发展基金项目,2023-2025,高校负责人
汽车空调管路振动性能测试方法,企业合作项目,2017-2019,负责人
新能源汽车模式二充电连接器研发,企业合作项目,2018-2021,负责人
固定转速下气门弹簧疲劳寿命CAE分析发,企业合作项目,2021-2022,负责人
PMT扭簧在线影像测力分选机开发,企业合作项目,2016-2017,负责人
(2)主要获奖
2022年,上海市教学成果奖,二等奖,第1
2022年,上海市教学成果奖,特等奖,第5
2019年,上海市科技进步奖,三等奖,第3
2018年,中国机械工业科学技术奖,三等奖,第3
2017年,上海市教学成果奖,一等奖,第2
2016年,中国机械工业科学技术奖,二等奖,第9
2013年,上海市教学成果奖,二等奖,第4
(3)代表性论文
Chen H, Yang YL*, Cao SL, Gao K, Xu S, Li YF, Zhang RP. Fatigue life prediction of aluminum alloy 6061 based on defects analysis. International Journal of Fatigue, 2021,147:106189. (SCI一区)
Yao SH, Li YF, Chen H*, Yang YL, Xu S, Zhang RP. Coupled crack tip fields under the action of an electric current. Engineering Fracture Mechanics, 2023, 288:109346 (SCI二区)
Wang C, Yang YL*, Chen H*, Xu S, Li YF, Zhang RP, Ling M. Fatigue life prediction driven by mesoscopic defect data. Engineering Applications of Artificial Intelligence, 2024.01, 131: 107773 (SCI二区)
Liu XC, Yang YL*, Chen H, Li YF, Xu S, Zhang RP. Mesoscopic defect healing and fatigue lifetime improvement of 6061-T6 aluminum alloy by electropulsing treatment. Engineering Failure Analysis, 2023,146, 107111.(SCI二区)
Yang YL, Xu KB, Chen H*, Li YF, Xu S, Gao K, Zhang RP. Research of optimization for crack propagation method. Theoretical and Applied Fracture Mechanics,2022, 118:103272. (SCI二区)
Geng M, Chen H*, Yang YL, Li YF. Prediction of crack shape in a cylindrical bar under combined fatigue tension and torsion loading. Theoretical and Applied Fracture Mechanics,2020, 109:102727. (SCI二区)
Chen H, Shi XF, He QW, Mao JH, Liu YJ, Kang HT, Shen J*. A multiresolution investigation on fatigue damage of aluminum alloys at micrometer level. International Journal of Damage Mechanics, 2017,26(2):192-209. (SCI二区)
Chen H, Shen J*. Denoising of point cloud data for computer-aided design, engineering, and manufacturing. Engineering with Computers, 2018, 34(3): 523-541. (SCI二区)
Chen H*, Yang YL. Effect of fuel saving and crop energy output on controlled traffic system under small machinery in Loess Plateau of China. Soil and Tillage Research, 2020, 199, 104570. (SCI 一区)
Lu L, Chen H*, Ren MM, Xu S, Li YF, Zhou TJ. Study on fatigue life of aluminum alloy 6061-T6 based on random defect characteristics. Materials, 2024, 17,1133. (SCI)
Wang JC, Zhang RP*, Wang C, Chen H, Xu S, Li YF, Yang YL, Ling M. On the Use of Data-Driven Machine Learning for Probabilistic Fatigue Life Prediction of Metallic Materials Based on Mesoscopic Defect Analysis. Journal of Materials Engineering and Performance, 2024, online. (SCI)
Chen H*, Yao SH, Yang YL, Li YF, Xu Sha, Zhang RP. Fatigue life prediction of aluminum alloys based on surface and internal defects, Journal of Materials Engineering and Performance, 2022, 32(19): 8687-8699.
Yang YL, Chen H, Li JW, Liu W, Shi XF, He QW, Liu YJ, Shen J *. Digital Prognosis of Fatigue Residual Life of Lightweight Metallic Materials. Journal of Materials Engineering and Performance, 2022,31(10):8068-8083. (SCI)
Xu S, Chen H*, Yang YL, Zhang SW, Shen J, Li YF, Gao K. Fatigue Damage Analysis of Aluminum Alloy 6061 Based on CT Scanning, Journal of Materials Engineering and Performance, 2023, 32(11):5141-5149. (SCI)
Yang YL, Chen H*, Feng W, Xu S, Zhang RP. Fatigue life analysis for 6061-T6 aluminum alloy based on surface roughness. PLOS ONE, 2021, 16(6): e0252772. (SCI)
Xu S, Chen H*, Yang YL, Gao K. Fatigue damage of aluminum alloy spot-welded joint based on defect reconstruction. Journal of Engineering Materials and Technology-Transactions of the ASME, 2020, 142(2): 021001. (SCI)
Chen H, Chen Y, Zhang X, Li BY, Liu XQ, Shi XF, Shen J*. A Fast Voxel-Based Method for Outlier Removal in Laser Measurement. International Journal of Precision Engineering and Manufacturing, 2019, 20(6): 915-925. (SCI)
Bao YQ, Yang YL*, Chen H*, Li YF, Shen J, Yang SW. Multiscale Damage Evolution Analysis of Aluminum Alloy Based on Defect Visualization, Applied Sciences, 2019, 9(23), 5251. (SCI)
Chen H, Shen J*. A degradation-based sorting method for lithium-ion battery reuse. PLOS ONE, 2017, 12(10):1-15. (SCI)