1.個人信息:
姓名:陳 浩 職稱:教授
專業:車輛工程 學曆層次:博士
辦公室地點:交通大樓8B431 聯系電話:13585901312
電子郵箱:pschenhao@163.com
研究方向:疲勞損傷智能診斷與檢測、疲勞壽命智能預測、智能汽車系統失效評估
主講課程:《汽車理論》、《汽車設計》
人才稱号:上海市東方英才(2023)、上海市曙光學者(2019)、松江區領軍人才(2021)
2.個人簡曆:
2017.12至今,BETVLCTOR伟德官方网站,BETVLCTOR伟德官方网站,教授
2011.07-2017.11,BETVLCTOR伟德官方网站,汽車工程學院,副教授
2012.02-2013.01,美國密歇根大學迪爾本分校,機械工程,訪問學者
2011.01-2011.05,美國勞倫斯理工大學,機械工程,訪問學者
2003.09-2008.06,中國農業大學,農業機械化工程,工學博士(碩博)
3.主要科研成果
(1)主要科研項目
上海市東方英才(拔尖項目),人才計劃項目,2024-2026,負責人
上海市曙光計劃項目(19SG051),人才計劃項目,2020-2022,負責人
上海人才發展資金資助計劃(2018053),人才計劃項目,2019-2022,負責人
上海市自然基金項目(18ZR1416500),2018-2022,負責人
教育部人文社科項目(工程專項)(17JDGC031),2017-2020,負責人
上海市教委科研創新項目(13YZ109),2013-2015,負責人
國家自然基金項目(51305252),2014-2016,負責人
多模态智駕系統及平台研發與産業化,浦東新區科技發展基金項目,2023-2025,高校負責人
汽車空調管路振動性能測試方法,企業合作項目,2017-2019,負責人
新能源汽車模式二充電連接器研發,企業合作項目,2018-2021,負責人
固定轉速下氣門彈簧疲勞壽命CAE分析發,企業合作項目,2021-2022,負責人
PMT扭簧在線影像測力分選機開發,企業合作項目,2016-2017,負責人
(2)主要獲獎
2022年,上海市教學成果獎,二等獎,第1
2022年,上海市教學成果獎,特等獎,第5
2019年,上海市科技進步獎,三等獎,第3
2018年,中國機械工業科學技術獎,三等獎,第3
2017年,上海市教學成果獎,一等獎,第2
2016年,中國機械工業科學技術獎,二等獎,第9
2013年,上海市教學成果獎,二等獎,第4
(3)代表性論文
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一區)
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二區)
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二區)
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二區)
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二區)
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二區)
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二區)
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二區)
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 一區)
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)