十大老品牌信誉平台

十大老品牌信誉平台:陈浩

发布者:唐子夏发布时间:2020-06-01浏览次数:8000


1.个人信息:

姓名:陈 浩                   职称:

 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:

2017.12至今,上海工程技术大学,机械与汽车工程十大老品牌信誉平台,教授

2011.07-2017.11,上海工程技术大学,汽车工程十大老品牌信誉平台,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

  1.  上海市东方英才(拔尖项目),人才计划项目,十大老品牌信誉平台-2026,负责人

  2.  上海市曙光计划项目(19SG051),人才计划项目,2020-2022,负责人

  3. 上海人才发展资金资助计划(2018053),人才计划项目,2019-2022,负责人

  4. 上海市自然基金项目(18ZR1416500),2018-2022,负责人

  5. 教育部人文社科项目(工程专项)(17JDGC031),2017-2020,负责人

  6. 上海市教委科研创新项目13YZ109),2013-2015,负责人

  7. 国家自然基金项目(51305252),2014-2016,负责人

  8.  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

  9. 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

  10.  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

  11. 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

  12. 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

  1. 2022年,上海市教学成果奖,二等奖,第1

  2. 2022年,上海市教学成果奖,特等奖,第5

  3. 2019年,上海市科技进步奖,三等奖,第3

  4. 2018年,中国机械工业科学技术奖,三等奖,第3

  5. 2017年,上海市教学成果奖,一等奖,第2

  6. 2016年,中国机械工业科学技术奖,二等奖,第9

  7. 2013年,上海市教学成果奖,二等奖,第4

3)代表性论文

  1. 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)

  2. 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)

  3. 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, 十大老品牌信誉平台.01, 131: 107773 (SCI二区)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

  8. 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)

  9. 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 )

  10. 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, 十大老品牌信誉平台, 17,1133. (SCI)

  11. 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, 十大老品牌信誉平台, online. (SCI)

  12. 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.

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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)

  18. 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)

  19. Chen H, Shen J*. A degradation-based sorting method for lithium-ion battery reuse. PLOS ONE, 2017, 12(10):1-15. (SCI)




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