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谢明江

发布者:谢明江发布时间:2024-08-30浏览次数:380

(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.