缪炳荣

博士生导师

硕士生导师

个人信息Personal Information


教师英文名称:Miao Bingrong

学历:博士研究生毕业

学位:工学博士学位

办公地点:西南交通大学轨道交通运载系统全国重点实验室红楼105

性别:

毕业院校:西南交通大学

所在单位:轨道交通运载系统全国重点实验室

报考该导师研究生的方式

欢迎你报考缪炳荣老师的研究生,报考有以下方式:

1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择缪炳荣老师,你的所有申请信息将发送给缪炳荣老师,老师看到后将和你取得联系,点击此处参加夏令营活动

2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请缪炳荣老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为缪炳荣老师,老师看到信息后将和你取得联系,点击此处推免生预报名

3、参加全国硕士研究生统一招生考试报考缪炳荣老师招收的专业和方向,进入复试后提交导师意向时选择缪炳荣老师。

4、如果你有兴趣攻读缪炳荣老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。

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  • 科研项目信息:

    • 主持四川省重点研发项目“车辆关键部件安全服役状态的实时监测和在线评估新技术”(2023YFG0197)(2023-2024)。

    • 主持国家自然基金面上项目“基于耦合振动响应的轨道车辆载荷识别与损伤识别新技术研究”(51775456)(2018-2021)。

    • 主持国家自然基金面上项目“高速列车车体结构共振响应下的耦合振动特性及载荷谱研究”(51375405)(2014-2017)。

    • 主持国家863计划子课题项目“高速检测列车总体技术条件及集成技术研究(2009AA110303-01)” (和张卫华教授联合主持)。(2010.1-2011.12)优秀评价。

    • 主持教育部博士点新教师基金项目 “高速车体结构典型疲劳载荷谱及寿命预测研究”(20090184120016)(2010-2012)。

    • 主持四川省科技厅应用基础研究项目“复杂载荷环境下高速列车车体结构安全问题作用机理研究”(2012JY094)(2012-2014)。

    • 主持国家重点实验室开放基金项目“高速列车多目标比例车体振动试验台研究”(2012TPL_T08)(2012-2013)。

    • 主持中央高校科研业务经费项目“基于多体仿真和耐久性分析的高速列车车体结构的拓扑优化问题研究”(SWJTU09CX061)(2009-2011)。

    • 主持国家博士后面上基金项目“基于多体动力学和有限元法的车体结构耐久性技术研究”(20080431266)。

    • 主研国家973计划(高速列车安全服役关键基础问题研究)(2007CB714700)子课题项目“复杂载荷下金属材料的超高周疲劳损伤机理及寿命预测”(2007CB714705),学术骨干。

    • 主研国家863计划“高速列车动车组的寿命与可靠性设计技术”(2006AA04Z406)项目,学术骨干。

    • 主研铁道部科技研究开发计划“高速列车车体结构动态特性与结构损伤之间作用机理研究”(2009J006-F),学术骨干。

    • 主研铁道部科技研究开发计划“基于广义舒适度的共性基础技术—车内振动与舒适性的研究”(2009BAG12A01-E03),2010-2012.

    • 主研铁道部课题“动车组安全保障体系的研究-高速列车服役性能跟踪实验方法深化研究”(2009J008-D)2009-2010.

    • 其他,主研完成霍英东基金项目(122014)其他老师主持的国家自然科学基金、教育部群体研究项目、国家杰出青年基金项目十余项。

    • 主持横向课题研究项目二十余项(2009-至今)。

     


  • 主要研究成果:

    一、部分英文文献:

    1. Bingrong Miao*, Yaoxiang Luo, Qiming Peng, Chuanying Jiang and Zhongkun Yang.Multi-disciplinary design optimisation considered fluid-structure interaction and life prediction applied in the lightweight carbody structure.International Journal of Vehicle Design.2022 ,Vol. 88, No. 2-4:304-320(IF:2.037)

    2. B.R.Miao, Y.X.Luo, Q.M.Peng, et al. Multi-disciplinary design optimization of lightweight carbody for fatigue assessment. Materials and Design, 2020, Volume 194, 108910. WOS:000570161800006 (IF:9.417)

    3. Miao B, Yang S, Wang M, et al. Study of multiple-site structural damage detection application using vibration response [J]. International Journal of Applied Electromagnetics and Mechanics, 2020, 64(1-4):1411-1419. WOS:000600069600161 (IF:0.536)

    4. Miao B, Zhou F, Jiang C, et al. A load identification application technology based on regularization method and finite element modified model [J]. Shock and Vibration, 2020, 8875697. WOS:000572349400001(IF:1.61).

    5. Miao B R, Luo Y X, Qiu Y J, et al. Research on multidisciplinary fatigue optimization design method in structural design of high speed train[J]. Procedia Structural Integrity, 2019, 22: 102-109. WOS:000668694700014.

    6. Miao B, Wang M, Yang S, et al. An optimized damage identification method of beam using wavelet and neural network[J]. Engineering, 2020, 12(10): 748-765.(暂无检索号)

    7. Bingrong Miao, Ying Zhang, Xujuan Li. An improved multiple damage identification method of plate structure using discrete wavelet transform. Journal of Modern Mechanical Engineering and Technology, 2020, 7, 35-46.(暂无检索号).

    8. Yongjian Li, Qiuming Gao, Bingrong Miao. et al. Application of the refined multiscale permutation entropy method to fault detection of rolling bearing. Journal of the Brazilian Society of Mechanical Sciences and Engineering (2021) 43:280 WOS:000647154400001(IF:2.361).(通信)

    9. Li YJ, Song H, Miao BR, Zhang WH, Xiong Q. Improved multiscale weighted-dispersion entropy and its application in fault diagnosis of train bearing. MEASUREMENT SCIENCE AND TECHNOLOGY 2021;32.WOS:000646031800001 (IF:2.398) (通信)

    10. Li Y, Miao B, Zhang W, et al. Refined composite multiscale fuzzy entropy: Localized defect detection of rolling element bearing [J]. Journal of Mechanical Science and Technology, 2019, 33(1): 109-120. WOS:000455641100011(SCI)(IF:1.81). (通信)

    11. Miao BR, Zhou F, Jiang CY, Chen XY, Yang SW. A Comparative Study of Regularization Method in Structure Load Identification. SHOCK AND VIBRATION 2018;2018.WOS:000448547500001

    12. Wang YS, Gao T, Liu DB, Sun H, Miao BR, Qing XL. Propagation characteristics of ultrasonic weld-guided waves in Friction stir welding joint of same material. ULTRASONICS 2020;102. WOS: 000523333400020 (IF: 4.062).(通信)

    13. Wang YS, Wang G, Wu D, Wang Y, Miao BR, Sun H, et al. An Improved Matching Pursuit-Based Temperature and Load Compensation Method for Ultrasonic Guided Wave Signals. IEEE ACCESS 2020;8: 67530-41. .WOS:000527416400008 (IF: 3.476).

    14. Wang G, Wang YH, Sun H, Miao BR, Wang YS. A Reference Matching-Based Temperature Compensation Method for Ultrasonic Guided Wave Signals. Sensors 2019;19.WOS:000507606200117(IF:3.847)

    15. Ding J, Zhao W, Miao B, et al. Adaptive sparse representation based on circular-structure dictionary learning and its application in wheelset-bearing fault detection [J]. Mechanical Systems and Signal Processing, 2018, 111: 399-422. WOS:000432641300026 (IF:8.934)

    16. Ding, J., Li, F., Lin, J., Miao, B., & Liu, L. (2017). Fault detection of a wheelset bearing based on appropriately sparse impulse extraction. Shock and Vibration, 2017.WOS:000404938500001(IF: 1.616).

    17. Wu, S. C., Zhang, W. H., Peng, X., Miao, B. R. A twice-interpolation finite element method (TFEM) for crack propagation problems. International Journal of Computational Methods, v 9, n 4, December 2012/ SCI WOS: 000313428600012. (IF:1.734)

    18. Weihua Z, Ning Z, Bingrong M. A new method to deduce the stress in a catenary support structure based on novel hybrid simulation .Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, v 223, n 5, p 495-504, September 1, 2009.WOS:000270798000007 (IF:1.87)

    19. Miao B R, Zhang W H, Huang G H, et al.Research of high speed train carbody structure vibration behaviors and structure fatigue strength characteristic technology.Advanced Materials Research, v 544, p 256-261, 2012, EI:20124415618218

    20. Miao B R, Zhang W H.New fatigue life and durability evaluating method of high speed train carbody structure.13th International Conference on Fracture 2013, ICF 2013, v 5, p 4106-4112, 2013, 13th International Conference on Fracture 2013, ICF 2013.EI:20141717628828

    21. Miao B, Zhang W, Zhang J, et al.Evaluation of railway vehicle car body fatigue life and durability using multi-disciplinary analysis method. International Journal of Vehicle Structures and Systems, v 1, n 4, p 85-92, 2009.EI:20122715219961

    22. Zhu, T., Xiao, S. N., Yang, G. W., & Miao, B. R.Fatigue life prediction of spot-welded structure under different finite element models of spot-weld.Advanced Materials Research, v 118-120, p 191-195, 2010, EI:20110113538691

    23. Yin H T, Zhu T, Miao B R.Stiffness analysis of spot-weld specimen in finite element and experimental comparison.Advanced Materials Research, v 337, p 564-569, 2011, EI:20114014400765

    24. MIAO B, ZHANG L, ZHANG W, et al.High-speed train carbody structure fatigue simulation based on dynamic characteristics of the overall vehicle.Tiedao Xuebao/Journal of the China Railway Society, v 32, n 6, p 101-108, December 2010 Language: Chinese EI:20110313600569

    25. Miao B R, Zhang W H, Zhang L M, et al.Research of modern railway vehicle structure fatigue design method based on multibody dynamic simulation.Advanced Materials Research, v 118-120, p 327-331, 2010,EI:20110113538718

    26. MIAO Bingrong,ZHANG Weihua, XIAO Shoune, et al.Fatigue life prediction applied to car-body structure with multi-body dynamics and FEM. Jixie Qiangdu/Journal of Mechanical Strength, v 30, n 6, p 1003-1007, December 2008 ,Language: Chinese.EI:20090211846984

    27. Miao B R, Zhang W H, Xiao S N, et al.Hybrid fatigue analysis method for railway carbody structure. Advanced Materials Research, v 44-46, p 733-738, 2008, Materials and Product Technologies - 2008,EI:20084811733758

    28. MIAO B, ZHANG W, XIAO S, et al. Carbody fatigue life simulation based on multibody dynamics and FEM. Tiedao Xuebao/Journal of the China Railway Society, v 29, n 4, p 38-42, August 2007 Language: Chinese,EI:20073910834054

    29. MIAO Bingrong,XIAO Shoune, et al.Research on the fatigue life simulations applied to locomotive bogie frame structure under stochastic loads.Cailiao Yanjiu Xuebao/Chinese Journal of Materials Research, v 21,  SUPPL., p 191-195, May 2007 Language: Chinese.EI:20072910702419

    30. Miao B R, Xiao S N, Jin D C, et al. Key Engineering Materials, v 353-358, n PART 2, p 1017-1020, 2007, Progresses in Fracture and Strength of Materials and Structures- Selected peer reviewed papers from the Asian Pacific Conference Fracture and Strength 2006, (APCFS'06).EI:20074710927162

    31. Miao B R, Xiao S N, Zhang W H, et al. Fatigue life simulation of flexible car body under dynamic loading.Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, v 42, n 2, p 217-222, April 2007 Language: Chinese.EI:20072210627515

    32. MIAO B, XIAO S, LUO S, et al. Modeling and simulation of Maglev vehicle structure dynamics.Zhongguo Tiedao Kexue/China Railway Science, v 27, n 1, p 104-108, January 2006 Language: Chinese.EI:2006159819414

    二、中文期刊代表性论文:

    1. 缪炳荣,杨树旺,王名月,等.利用振动响应的多种结构损伤识别方法比较[J].振动工程学报,2020,33(04):724-733.

    2. 缪炳荣,张盈,黄仲,等.利用模态应变能变化率的结构损伤识别优化方法[J/OL].振动工程学报:1-10[2022-10-08]

    3. 缪炳荣,彭齐明,杨树旺,等.基于最有价值球员算法的结构损伤识别方法[J].重庆交通大学学报(自然科学版),2022,41(01):67-75.

    4. 缪炳荣,张卫华,刘建新,等.工业4.0下智能铁路前沿技术问题综述[J].交通运输工程学报,2021,21(01):115-131.DOI:10.19818/j.cnki.1671-1637.2021.01.005.

    5. 缪炳荣,刘俊利,张盈,等.轨道车辆结构振动损伤识别技术综述[J].交通运输工程学报,2021,21(01):338-357.

    6. 缪炳荣,杨树旺,王名月,等.利用振动响应的多种结构损伤识别方法比较[J].振动工程学报,2020,33(04):724-733.

    7. 缪炳荣,张卫华,池茂儒,周宁,宋冬利,杨树旺.下一代高速列车关键技术特征分析及展望[J].铁道学报,2019,41(03):58-70.

    8. 缪炳荣,周凤,陈翔宇,杨树旺,李旭娟.利用核函数和不同正则化方法的结构载荷识别混合技术研究[J].振动工程学报,2018,31(04):553-560.

    9. 曹辉,张卫华,缪炳荣.基于二系垂向作动器与压电作动器的动车组车体振动控制[J].交通运输工程学报,2018,18(03):105-113.

    10. 曹辉,张卫华,缪炳荣.车体弹性效应下的垂向振动特性研究[J].铁道学报,2017,39(06):48-54.

    11. 缪炳荣,谭仕发,邬平波,杨忠坤,曹辉.非稳态风致载荷下车体结构典型载荷谱仿真研究[J].机械工程学报,2017,53(10):100-107.

    12. 王名月,缪炳荣,李旭娟,杨忠坤.基于转角模态和小波神经网络的连续梁损伤识别研究[J].力学季刊,2016,37(04):684-691.

    13. 缪炳荣,张卫华,邓永权,李旭娟,梅桂明.新一代中国高速铁路动车组面临的技术挑战与策略研究[J].中国工程科学,2015,17(04):98-112.

    14. 缪炳荣,张立民,张卫华,尹海涛,金鼎昌.考虑整车动力学特性的高速列车车体结构疲劳仿真[J].铁道学报,2010,32(06):101-108.

    15. 缪炳荣,张卫华,肖守讷,金鼎昌.机车车辆车体结构动应力计算方法[J].交通运输工程学报,2007(06):17-20+40.

    16. 缪炳荣,张卫华,肖守讷,金鼎昌,贺建清.基于多体动力学和有限元法的车体结构疲劳寿命仿真[J].铁道学报,2007(04):38-42.

  • 一、主要研究领域及方向涉及如下:

    1. 多学科设计优化与智能制造

    2. 逆问题(结构载荷识别和损伤识别)与结构健康监控

    3. 车辆动力学强度及载荷谱

    4. 结构强度、疲劳强度及寿命预测

    二、可以招生的专业涵盖:

    车辆工程专业;

    载运工具运用工程专业;

    交通运输工程专业;

    部分检测技术专业。