教师名录
谢明江，男，1992年生，副教授，硕士生导师，博士生导师，江苏省双创博士，437必赢会员中心至善青年学者。2014年获哈尔滨工业大学机械设计制造及其自动化专业学士，2019年获阿尔伯塔大学机械工程博士学位。主持国家自然科学基金（青年、面上）等科研项目，相关研究成果发表在Applied Energy，Sustainable Cities and Society，International Journal of Fatigue，Reliability Engineering and System Safety等国际学术期刊。
目前主要研究兴趣为：机器学习算法在智能运维决策中的应用；基于损伤评估和状态监测的机械系统完整性管理；基于数模联动的管道系统完整性管理；基于大数据的智能管网维修策略的研发。
欢迎对上述研究方向感兴趣的研究生、本科生加入课题组。
2019.08-至今，437必赢会员中心，437必赢会员中心，讲师，硕士生导师，副教授，博士生导师
工程经济学（全英文）；质量与可靠性
（1）437必赢会员中心至善青年学者（2022）
（2）Chevron Graduate Scholarship (2018)
（3）FGSR Travel Award（2018）
（4）IPC Best Student Paper Finalist（2018）
（5）ASME OAME Chapter Scholarship（2016）
(1) M Xie, J Zhao, M J Zuo, et al. Multi-objective maintenance decision-making of corroded parallel pipeline systems. Applied Energy, 2023, 351:121822. (IF:11.2, JCR Q1)
(2) M Xie, J Zhao, X Pei*. Maintenance strategy optimization of pipeline system with multi-stage corrosion defects based on hearistically genetical algorithm. Process Safety and Environmental Protection, 2023, 170:553-572. (IF:7.8, JCR Q1)
(3) M Xie, Y Wang, J Zhao, et al. Prediction of pipeline fatigue crack propagation under rockfall impact based on multilayer perceptron. Reliability Engineering and System Safety, 2024, 109772.（IF:8.1, JCR Q1）
(4) M Xie, S Xing, J Zhao, et al. Low-cycle fatigue design of welded offshore pipe components: A modern view on ASME B31 code. International Journal of Fatigue, 2022, 162:106982. (IF:5.5, JCR Q1)
(5) M Xie, Z Tian*. Risk-based pipeline re-assessment optimization considering corrosion defects. Sustainable Cities and Society, 2018, 38: 746-757. (IF:10.7, JCR Q1)
(6) M Xie, Z Tian*. A review on pipeline integrity management utilizing in-line inspection data. Engineering Failure Analysis, 2018, 92: 222-239.
(7) M Xie, S Jeff, B Fang, et al. Impact analysisof inline inspection accuracy on pipeline integrity planning. Journal of Pressure Vessel Technology, Transactions of the ASME, 2020, 142 (6):061801.
(8) M Xie, S Bott, A Sutton, et al. An integrated prognostics approach for pipeline fatigue crack growth prediction utilizing inline inspection data. Journal of Pressure Vessel Technology, Transactions of the ASME, 2018, 140(3):031702.
(9) M Xie, Y Wang, W Xiong, et al. A crack propagation method for pipelines with interacting corrosion and crack defects. Sensors, 2022, 22, 986.
(10) M Xie, Z Li, J Zhao, et al. A prognostics method based on backpropagation neural network for corroded pipelines. Micromachines, 2021, 12, 1568.
(11) Y Zhang, C Su*, J Wu, H Liu, M Xie*. Trend-augmented and temporal-featured Transformer network with multi-sensor signals for remaining useful life prediction. Reliability Engineering and System Safety, 2023, 109662. （IF:8.1, JCR Q1）
(12) T Zhang, K Lu, X Shang, M Xie*. Investigating effective yield surface of porous metals exhibit different hardening behaviors by cell models with randomly distributed spherical voids. Fatigue & Fracture of Engineering Materials & Structures, 2023, 1-21.
(13) X Pei, X Li, S Zhao, P Dong, X Liu, M Xie*. Low cycle fatigue evaluation of welded structures with arbitrary stress-strain curve considering stress triaxiality effect. International Journal of Fatigue, 2022, 162:106969. (IF:5.5, JCR Q1)
(14) Y Wang, M Xie (共同第一), C Su*. Dynamic reliability evaluation of buried corroded pipeline under rockfall impact. Eksploatacjai Niezawodnosc Maintenance and Reliability, 2022, 24 (2): 275–288.
(1) 考虑混合氢损伤的多终端氢储运系统动态运维决策方法研究，国家自然科学基金（面上），2025-01至2028-12， 主持
(2) 基于损伤评估和状态监测的管道系统个性化完整性管理的研究，国家自然科学基金（青年），2021-01至2023-12， 主持
(3) 江苏省“双创博士”，人才项目，主持
(4) 管道系统智能运维策略的研究，437必赢会员中心至善青年学者人才项目，2023-01至2025-12，主持
(5) 电动工具可靠性分配研究，横向项目，主持
(6) 基于损伤评估的管道完整性管理的研究，中央高校基本科研业务费，主持
