谢明江 - 东南大学 - 机械工程学院

个人简介

谢明江，男，副教授，博士生导师，江苏省双创博士，东南大学至善青年学者。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Reliability Engineering and System Safety， Applied Energy，Sustainable Cities and Society 等国际学术期刊。目前主要研究兴趣为：人工智能算法在智能运维决策中的应用；无人集群的韧性评估与容错控制；氢储运系统完整性管理；智能管网系统维修决策优化。欢迎对上述研究方向感兴趣的研究生、本科生加入课题组。

研究领域

人工智能算法在智能运维决策中的应用无人集群的韧性评估与容错控制氢储运系统完整性管理智能管网系统维修决策优化

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

(1) M Xie, Z Wei, J Zhao, et al. Failure analysis of corroded hydrogen-blended natural gas pipelines based on finite element analysis and genetic algorithm-back propagation neural network. Reliability Engineering and System Safety, 2025, 262: 111174. (2) 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. (3) M Xie, Z Wei, J Zhao, et al. Remaining useful life prediction of pipelines considering the crack coupling effect using genetic algorithm-back propagation neural network. Thin-Walled Structures, 2024, 204:112330. (4) M Xie, J Zhao, M J Zuo, et al. Multi-objective maintenance decision-making of corroded parallel pipeline systems. Applied Energy, 2023, 351:121822. (5) M Xie, J Zhao, X Pei. Maintenance strategy optimization of pipeline system with multi-stage corrosion defects based on heuristically genetical algorithm. Process Safety and Environmental Protection, 2023, 170:553-572. (6) 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. (7) L Lin # , M Xie # , T Lan, et al. Analytical solution for the structural strain parameter of power-law hardening materials to evaluate low- and high-cycle fatigue life of welded components. Engineering Fracture Mechanics, 2025, 315: 110824. (8) Y Wang#, M Xie#, C Su*. Multi-objective maintenance strategy for corroded pipelines considering the correlation of different failure modes. Reliability Engineering and System Safety, 2024, 243: 109894. (9) 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. (10) M Xie, Z Tian*. Risk-based pipeline re-assessment optimization considering corrosion defects. Sustainable Cities and Society, 2018, 38: 746-757. (11) M Xie, Z Tian*. A review on pipeline integrity management utilizing in-line inspection data. Engineering Failure Analysis, 2018, 92: 222-239. (12) M Xie, S Jeff, B Fang, et al. Impact analysis of inline inspection accuracy on pipeline integrity planning. Journal of Pressure Vessel Technology, Transactions of the ASME, 2020, 142 (6):061801. (13) 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. (14) M Xie, Y Wang, W Xiong, et al. A crack propagation method for pipelines with interacting corrosion and crack defects. Sensors, 2022, 22, 986. (15) M Xie, Z Li, J Zhao, et al. A prognostics method based on backpropagation neural network for corroded pipelines. Micromachines, 2021, 12, 1568. (16) Y Zhang, C Su, X He, M Xie, et al, Multi-source domain generalization for machine remaining useful Life prediction via risk minimization-based test-time adaptation, IEEE Transactions on Industrial Informatics, 2025,21(2):1140-1149. (17) 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. (18) 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. (19) 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. (20) Y Wang # , M Xie # , C Su*. Dynamic reliability evaluation of buried corroded pipeline under rockfall impact. Eksploatacjai Niezawodnosc Maintenance and Reliability, 2022, 24 (2): 275–288.