教师名录

谢明江副教授硕士生导师,博士生导师
所在院系:智能制造系
办公室:机械楼532
电话:
邮箱:mingjiang@seu.edu.cn
个人简介

谢明江,男,副教授,博士生导师,江苏省双创博士,bevictor伟德至善青年学者。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。


学习经历
工作经历

2019.08-至今,bevictor伟德,bv1946伟德官网,讲师,硕士生导师,副教授,博士生导师

教授课程

工程经济学(全英文);质量与可靠性

研究方向
人工智能;无人集群;系统运维管理;决策优化
审稿期刊
学术兼职
获奖情况

1)bevictor伟德至善青年学者(2022)

2Chevron Graduate Scholarship (2018)

3FGSR Travel Award2018

4IPC Best Student Paper Finalist2018

5ASME OAME Chapter Scholarship2016


论文著作

(1) M Xie, J Wei, Z 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, J Wei, Z 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. 


科研项目

(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)2025-012028-12 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)2021-012023-12 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,bevictor伟德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



专利
谢明江 人工智能;无人集群;系统运维管理;决策优化
Tel:
Email:mingjiang@seu.edu.cn
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Personal Introduction

谢明江,男,副教授,博士生导师,江苏省双创博士,bevictor伟德至善青年学者。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。


Educational Background

(1) M Xie, J Wei, Z 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, J Wei, Z 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. 


Professional Experience
Teaching

(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)2025-012028-12 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)2021-012023-12 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,bevictor伟德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



Research Interests
Refereed Journals
Other Professional Activities
Selected Publications
Research Projects
Patents and Applications