代表性论文
1. Lu, H., Xi, D., Xiang, Y., Su, Z. & Cheng, Y. F. (2025). Vehicle-canine collaboration for urban pipeline methane leak detection. Nature Cities. DOI: 10.1038/s44284-024-00183-w 2. Lu, H., Liu, C., Zou, X., Peng, H., Ni, H., & Iseley, T. (2025). Prediction of construction traction force for corroded pipeline rehabilitation using multilayer composite liners. ASCE Journal of Pipeline Systems Engineering and Practice,16(2), 04024080. (ASCE期刊) 3. Lu, H., Matthews, J., Chae, A., Shou, K. J., Ariaratnam, S., Fang, H., Ma, B., & Iseley, T. (2024). Advancing underground infrastructure: trenchless technologies and smart asset management in the digital age. Tunnelling and Underground Space Technology, 106130. (JCR Q1) 4. Xia, Z., Xu, Z. D., Lu, H.*, Peng, H., Zang, X., Liu, X., & Wang, X. (2024) Modeling and assessment of hydrogen-blended natural gas releases from buried pipeline. International Journal of Hydrogen Energy, 90, 230-245. (JCR Q1) 5. Wang, Q. & Lu, H.* (2024). A novel stacking ensemble learner for predicting residual strength of corroded pipelines. npj Materials Degradation, 8, 87. (JCR Q1) 6. Peng, H., Xu, Z. D., Lu, H.*, Xi, D., Xia, Z., Yang, C., & Wang, B. A review of underground transport infrastructure monitoring in CCS: Technology and Engineering Practice. Process Safety and Environmental Protection, 190(B), 726-745. (JCR Q1) 7. Peng, H., Xu, Z. D., Xia, Z., Zang, X., Xi, D., Jiang, X., ... & Lu, H.* (2024). Closed Wellbore Integrity Failure Induced by Casing Corrosion Based on Solid-Chemical Coupling Model in CO2 Sequestration. Geoenergy Science and Engineering, 241, 213140. (JCR Q1) 8. Xi, D., Lu, H.*, Shi, K., Ni, H., & Iseley, T. (2024). Dual-Component Polyurethane Spray Technology for Repairing Concrete Pipes: A Case Study. ASCE Journal of Pipeline Systems Engineering and Practice, 15(4), 05024002. (ASCE期刊, Editor’s Choice Award) 9. Peng, H., Lu, H.*, Xu, Z. D., Xi, D., & Qin, G. (2024). Failure mechanism of carbon dioxide transport infrastructure: A comprehensive review. International Journal of Greenhouse Gas Control, 135, 104144. (JCR Q2) 10. Xi, D., Lu, H.*, Zou, X., Fu, Y., Ni, H., & Li, B. (2024). Development of trenchless rehabilitation for underground pipelines from an academic perspective. Tunnelling and Underground Space Technology, 144, 105515. (JCR Q1) 11. Lu, H., Xu, Z. D., Song, K., Cheng, Y. F., Dong, S., Fang, H., Peng, H., Fu, Y., Xi, D., Han, Z., Jiang, X., Dong, Y., Gai, P. & Shan, Y. (2023). Greenhouse gas emissions from US crude oil pipeline accidents: 1968 to 2020. Scientific Data, 10(1), 563. (JCR Q1) 12. Lu, H., Xu, Z. D., Cheng, Y. F., Peng, H., Xi, D., Jiang, X., ... & Shan, Y. (2023). An inventory of greenhouse gas emissions due to natural gas pipeline incidents in the United States and Canada from 1980s to 2021. Scientific Data, 10(1), 282. (JCR Q1) 13. Xi, D., Lu, H.*, Fu, Y., Dong, S., Jiang, X., & Matthews, J. (2023). Carbon dioxide pipelines: A statistical analysis of historical accidents. Journal of Loss Prevention in the Process Industries, 84, 105129. (JCR Q2) 14. Lu, H., Xu, Z. D., Zang, X., Xi, D., Iseley, T., Matthews, J. C., & Wang, N. (2023). Leveraging Machine Learning for Pipeline Condition Assessment. ASCE Journal of Pipeline Systems Engineering and Practice, 14(3), 04023024. (ASCE期刊, Editor’s Choice Award) 15. Lu, H., Peng, H., Xu, Z., Qin, G., Azimi, M., Matthews, J. C., & Cao, L. (2023). Theory and machine learning modeling for burst pressure estimation of pipeline with multipoint corrosion. ASCE Journal of Pipeline Systems Engineering and Practice, 14(3), 04023022. (ASCE期刊) 16. Lu, H., Jiang, X., Xu, Z., Wang, N., & Iseley, D. T. (2023). Numerical study on mechanical properties of pipeline installed via horizontal directional drilling under static and dynamic traffic loads. Tunnelling and Underground Space Technology, 136, 105077. (JCR Q1) 17. Lu, H., Jiang, X., Xu, Z., Ni, H., & Fu, L. (2023). Mechanical behavior of high-pressure pipeline installed through horizontal directional drilling under seismic loads. Tunnelling and Underground Space Technology, 136, 105073. (JCR Q1) 18. Lu, H., Xi, D., & Qin, G. (2023). Environmental risk of oil pipeline accidents. Science of The Total Environment, 874, 162386. (JCR Q1) 19. Lu, H., Peng, H., Xu, Z. D., Matthews, J. C., Wang, N., & Iseley, T. (2022). A Feature Selection–Based Intelligent Framework for Predicting Maximum Depth of Corroded Pipeline Defects. ASCE Journal of Performance of Constructed Facilities, 36(5), 04022044. (ASCE期刊) 20. Lu, H., Xi, D., Ma, X., Zheng, S., Huang, C., & Wei, N. (2022). Hybrid machine learning models for predicting short-term wave energy flux. Ocean Engineering, 264, 112258. (JCR Q1) 21. Lu, H., Ma, X., & Ma, M. (2021). Impacts of the COVID-19 pandemic on the energy sector. Journal of Zhejiang University-SCIENCE A, 22(12), 941. (JCR Q2, Best Paper Award) 22. Lu, H., Xu, Z. D., Azimi, M., Fu, L., & Wang, Y. (2022). An Effective Data-Driven Model for Predicting Energy Consumption of Long-Distance Oil Pipelines. ASCE Journal of Pipeline Systems Engineering and Practice, 13(2), 04022005. (ASCE期刊) 23. Lu, H., Xu, Z. D., Iseley, T., & Matthews, J. C. (2021). Novel data-driven framework for predicting residual strength of corroded pipelines. ASCE Journal of Pipeline Systems Engineering and Practice, 12(4), 04021045. (ASCE期刊, Most Cited Paper) 24. Lu, H., Iseley, T., Matthews, J., & Liao, W. (2021). Hybrid machine learning for pullback force forecasting during horizontal directional drilling. Automation in Construction, 129, 103810. (JCR Q1) 25. Lu, H., Iseley, T., Matthews, J., Liao, W., & Azimi, M. (2021). An ensemble model based on relevance vector machine and multi-objective salp swarm algorithm for predicting burst pressure of corroded pipelines. Journal of Petroleum Science and Engineering, 203, 108585. (JCR Q1) 26. Lu, H., Behbahani, S., Ma, X., & Iseley, T. (2021). A multi-objective optimizer-based model for predicting composite material properties. Construction and Building Materials, 284, 122746. (JCR Q1) 27. Lu, H., Ma, X., Ma, M., & Zhu, S. (2021). Energy price prediction using data-driven models: A decade review. Computer Science Review, 39, 100356. (JCR Q1) 28. Lu, H., Matthews, J., Azimi, M., Iseley, T. (2020). A Near Real-time HDD Pullback Force Prediction Model Based on Improved Radial Basis Function Neural Networks. ASCE Journal of Pipeline Systems Engineering and Practice, 11(4), 04020042. (ASCE期刊) 29. Lu, H., Iseley, T., Behbahani, S., & Fu, L. (2020). Leakage detection techniques for oil and gas pipelines: State-of-the-art. Tunnelling and Underground Space Technology, 98, 103249. (JCR Q1, Most Cited Paper) 30. Lu, H., Wu, X., Ni, H., Yan, X., Azimi, M., Niu, Y. (2020). Stress analysis of urban gas pipeline repaired by inserted hose lining method. Composites Part B Engineering, 183, 107657. (JCR Q1) 31. Lu, H., Behbahani, S., Azimi, M., Matthews, J. C., Han, S., & Iseley, T. (2020). Trenchless Construction Technologies for Oil and Gas Pipelines: State-of-the-Art Review. ASCE Journal of Construction Engineering and Management, 146(6), 03120001. (JCR Q1, ASCE期刊) 32. Lu, H., Cheng, F., Ma, X., & Hu, G. (2020). Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower. Energy, 203, 117756. (JCR Q1) 33. Lu, H., Ma, X., & Azimi, M. (2020). US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model. Energy, 194, 116905. (JCR Q1) 34. Lu, H., & Ma, X. (2020). Hybrid decision tree-based machine learning models for short-term water quality prediction. Chemosphere, 249, 126169. (JCR Q1) 35. Lu, H., Ma, X., Huang, K., & Azimi, M. (2020). Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer. Renewable and Sustainable Energy Reviews, 127, 109856. (JCR Q1) 36. Lu, H., Guo, L., Azimi, M., & Huang, K. (2019). Oil and Gas 4.0 era: A systematic review and outlook. Computers in Industry, 111, 68-90. (JCR Q1) 37. Lu, H., Huang, K., Fu, L., Zhang, Z., Wu, S., Lyu, Y., & Zhang, X. (2018). Study on leakage and ventilation scheme of gas pipeline in tunnel. Journal of Natural Gas Science and Engineering, 53, 347-358. (JCR Q1) 38. Lu, H., Wu, X. N., Iseley, T., Matthews, J. & Peng, S. B. (2018). Trenchless installation, rehabilitation and replacement technologies for natural gas pipelines abroad. Natural Gas Industry, 38(3), 110-120. (EI、卓越行动计划期刊) 39. Lu, H., Wu, X. N., Iseley, T., Matthews, J. & Peng, S. B. (2018). The status quo of natural gas line pipe inspection technologies abroad and its implications for China. Natural Gas Industry, 38(2), 103-111. (EI、卓越行动计划期刊) 40. Shang, B., Li, C., & Lu, H*. (2017). Stress analysis of suspended gas pipeline segment. ASCE Journal of Pipeline Systems Engineering and Practice, 8(3), 04017003. (ASCE期刊) 41. Lu, H., Huang, K., & Wu, S. (2016). Vibration and stress analyses of positive displacement pump pipeline systems in oil transportation stations. ASCE Journal of Pipeline Systems Engineering and Practice, 7(1), 05015002. (ASCE期刊)
专著及章节
1. Lu, H., Xu, Z. D., Iseley, T., Peng, H., & Fu, L. (2023). Pipeline Inspection and Health Monitoring Technology: The Key to Integrity Management. Springer Nature. (专著) 2. Xi, D., Lu, H.*, Xu, Z. D., Jiang, X., Peng, H., & Fang, H. (2024). Prevention of natural gas pipeline cracking. Advances in Natural Gas: Formation, Processing, and Applications. Volume 6: Natural Gas Transportation and Storage, 293-313. (章节)
3. Xi, D., Lu, H.*, Dong, S., Xu, Z. D., & Wang, B. (2024). Engineering Properties of Hydrogen Storage Materials. Hydrogen Transportation and Storage. Section I: An Overview of Hydrogen Storage and Transportation Technologies. (章节) 4. Jiang, X., Lu, H.*, Dong, S., Xu, Z. D., & Wang, B. (2024). Prevention of Hydrogen Pipeline Cracking and Leakage. Hydrogen Transportation and Storage. Section I: An Overview of Hydrogen Storage and Transportation Technologies. (章节) |