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代表性论文
Lu, H., Xu, Z. D., Song, K., Frank Cheng, Y., Dong, S., Fang, H., ... & Shan, Y. (2023). Greenhouse gas emissions from US crude oil pipeline accidents: 1968 to 2020. Scientific Data, 10(1), 563. 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. Lu, H., Xu, Z. D., Zang, X., Xi, D., Iseley, T., Matthews, J. C., & Wang, N. (2023). Leveraging Machine Learning for Pipeline Condition Assessment. Journal of Pipeline Systems Engineering and Practice, 14(3), 04023024. (Editor’s Choice Paper Award) Lu, H., Xi, D., & Qin, G. (2023). Environmental risk of oil pipeline accidents. Science of the total environment, 874, 162386. Lu, H., Peng, H., Xu, Z. D., Qin, G., Azimi, M., Matthews, J. C., & Cao, L. (2023). Theory and Machine Learning Modeling for Burst Pressure Estimation of Pipeline with Multipoint Corrosion. Journal of Pipeline Systems Engineering and Practice, 14(3), 04023022. Lu, H., Jiang, X., Xu, Z. D., 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. Lu, H., Jiang, X., Xu, Z. D., Wang, N., & Iseley, 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. 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. Journal of Performance of Constructed Facilities, 36(5), 04022044. Lu, H., Xu, Z. D., Iseley, T., & Matthews, J. C. (2021). Novel data-driven framework for predicting residual strength of corroded pipelines. Journal of Pipeline Systems Engineering and Practice-ASCE, 12(4), 04021045. 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. 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. 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. 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. Journal of Construction Engineering and Management-ASCE, 146(6), 03120001. 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. Lu, H., Huang, K., & Wu, S. (2016). Vibration and stress analyses of positive displacement pump pipeline systems in oil transportation stations. Journal of Pipeline Systems Engineering and Practice-ASCE, 7(1), 05015002. Lu, H., Matthews, J. C., Azimi, M., & Iseley, T. (2020). Near Real-Time HDD Pullback Force Prediction Model Based on Improved Radial Basis Function Neural Networks. Journal of Pipeline Systems Engineering and Practice-ASCE, 11(4), 04020042. 专著 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.
会议报告 Stress analysis of oil and gas station pipeline, 2013 China International Pipeline Conference, Langfang, Sep 2013 Practical Condition Assessment and Failure Probability Analysis of Small Diameter Ductile Iron Pipe, ACE 17 Annual Conference & Exposition, Philadelphia, Jun 2017 A New Composite Pressure Pipe for a Trenchless Rehabilitation Technology, 2018 PRCI Research Exchange Meeting, Miami, Mar 2018 Stress Analysis Method of Suspended Segment of Gas Pipeline, No-dig Show 2019, Chicago, Mar 2019 Stress analysis of operating gas pipelines installed by horizontal directional drilling method under seismic action, 2020 China International Trenchless Technology Conference & Exhibition, Qingdao, Sep 2020 机器学习在管道状态评估中的应用，第二届土木工程计算与仿真技术学术会议，2021.5
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