王艺环
职 称：
副教授
博导/硕导：
硕导
学科专业：
土木工程
研究方向：
管道结构完整性管理
联系方式：
yihuan.wang@swpu.edu.cn
个人简介
王艺环，博士，国家公派加拿大卡尔加里大学访问博士生，师从国务院特殊津贴专家张鹏教授与加拿大管道公司TC Energy首席管道完整性工程师Markus Dann教授，具备本领域世界领先课题组科研经验。长期致力于结构可靠性评估与风险分析、能源管道结构完整性管理的研究，主持自然科学基金青年基金、中国博士后面上项目、皇家永利自然科学基金青年基金等多个国家与省级项目。近三年以第一作者/通讯作者在Tunn. Undergr. Space Technol.、Thin Wall. Struct.、Int. J. Pres. Ves. Pip.、Process Saf. Environ.、Eng. Fail. Ana.、天然气工业等国内外知名期刊上发表近30余篇论文。一篇合作论文入选ESI热点论文（前0.1%），两篇合作论文入选ESI高被引（前1%）。天然气工业 期刊青年同行评审及Eng. Struct. 、Reliab. Eng. Syst. Saf.、Compos. Struct.、Thin-Walled Struct.、Process Saf. Environ.、Int. J. Hydrogen Energ.、Ocean. Eng.、J. Petrol. Sci. Eng.等多个SCI期刊审稿人。
招生信息：
欢迎土木工程、土木水利、油气储运工程等相关背景的学生报考
具备能力：中英文阅读与写作能力；研究思维；上进心
提供资源：中英文论文的写作指导；继续学习深造的reference（本团队或国内外院校）；足够的科研经费
本科团队：常年开放
工作经历：
2025.3-至今 西南石油大学 土木工程与测绘学院 副教授
2022.4-2025.2 西南石油大学 土木工程与测绘学院 讲师
2022.4-至今 皇家永利燃气安全与高效利用工程技术研究中心 固定研究员
教育经历：
2018.9-2021.12: 西南石油大学机械工程专业，博士研究生
2019.9-2021.3: 加拿大卡尔加里大学土木工程系，访问博士研究生
2016.9-2018.6: 西南石油大学土木工程专业，硕士研究生
2012.9-2016.6: 西南石油大学土木工程专业，本科生
学术组织任职：
美国Buried Assets Management Institute（石油和天然气青年委员会）秘书长
国际土木工程期刊《Journal of Infrastructure Preservation and Resilience》青年编委
《Energies》（SCI）客座编辑
NACE（美国腐蚀工程师协会）会员
ASME（美国机械工程师学会）会员
皇家永利机械协会会员
教学及教学研究
本科生：《房屋建筑学》（本科生课程及国际留学生课程）
研究生：《西方建筑史》
代表性论文、著作和技术规程
代表性论文（*通讯作者）：
[1] Wang, Y., Xia, A., Li, R., Fu, A., & Qin, G. Probabilistic modeling of hydrogen pipeline failure utilizing limited statistical data[J]. International Journal of Hydrogen Energy, 2024, 95, 1052-1066.
[2] Xu, T., Wang, Y.*, Qin, G., Qin. J. Probabilistic performance evaluation of buried onshore and offshore pipelines subjected to earthquakes: Perspectives on uncertainties[J]. Journal of Pipeline Systems Engineering and Practice, 2024,10.1061/JPSEA2.PSENG-1880.
[3] Wang, Y., Zhu, S., Wang, B., Qin, J., & Qin, G. Structural health monitoring of oil and gas pipelines: developments, applications and future directions[J]. Ocean Engineering, 2024,308, 118293.
[4] Wany Y. H., Zhang Z. W., et al. Importance sampling-based probabilistic performance modeling of low-, mid- and high-strength pipelines under coupling effect of hydrogen-induced damage and corrosion[J]. Process Safety and Environmental Protection. 2023, 180:428-442.
[5] Wang Y. H., Xia A. L., et al. Fuzzy Bayesian networks-based multidimensional risk assessment for leakage of blended hydrogen natural gas pipelines[J]. Journal of Pipeline Systems Engineering and Practice. 2024, 15(1):04024010.
[6] Wang Y. H., Li R.L., et al. An integrated modeling method of uncertainties: application-orientated fuzzy random spatiotemporal analysis of pipeline structures[J]. Tunnelling and Underground Space Technology, 2023, 136: 105101.
[7] Wang Y. H., Xia, A., et al. Probabilistic physical modeling of randomly corroded surface and its use in reliability analysis of corroded pipelines under spatiotemporal vibration[J]. Ocean Engineering, 2022, 262: 112219.
[8] Wang Y. H., Xia A. L., et al. Probabilistic modeling for reliability analysis of buried pipelines subjected to spatiotemporal earthquakes[J]. Probabilistic Engineering Mechanics, 2022: 103315.
[9] Wang Y. H., Dann M. R., et al. Reliability analysis of corroded pipelines considering 3D defect growth[J]. Thin-Walled Structures, 2020, 157: 107028.
[10] Wang Y. H., Zhang P., et al. Reliability assessment of pitting corrosion of pipeline under spatiotemporal earthquake including spatial-dependent corrosion growth[J]. Process Safety and Environmental Protection, 2021, 148: 166-178.
[11] Wang Y. H., Zhang P., et al. Reliability evaluation of local corrosion of X80 pipeline subjected to accidental earthquake considering geotechnical discontinuities[J]. International Journal of Pressure Vessels and Piping, 2021, 189: 104254.
[12] Wang Y. H.*, Zhang P., et al. Failure probability assessment and prediction of corroded pipeline under earthquake by introducing in-line inspection data[J]. Engineering Failure Analysis, 2020, 115: 104607.
[13] Wang Y. H.*, Hou X., et al. Reliability assessment of multi-state reconfiguration pipeline system with failure interaction based on Cloud inference[J]. Process Safety and Environmental Protection, 2020, 137: 116-127.
[14] Wang Y. H.*, Zhang P., et al. Non-probabilistic Time-dependent Reliability Analysis for Suspended Pipeline with Corrosion Defects Based on Interval Model [J] Process Safety and Environmental Protection, 2019, 124, 290-298.
[15] Qin, G., Zhang, C., Wang, B., Ni, P., Wang, Y.* (2025). An interpretable machine learning model for failure pressure prediction of blended hydrogen natural gas pipelines containing a crack-in-dent defect. Energy, 135401.
[16] Qin G., Huang Y., Wang Y. H.*, Y. Frank Cheng. Pipeline condition assessment and finite element modeling of mechano-electrochemical interaction between corrosion defects with varied orientations on pipelines[J]. Tunnelling and Underground Space Technology, 2023, 136, 10501.
[17] Qin G. J., Zhang Z. W., Hou X. Q., Lu H. F., Huang Y. F., Wang Y. H.*. Condition assessment of underground corroded pipelines subject to hydrogen damage and combined internal pressure and axial compression. Tunnelling and Underground Space Technology. 2023,142: 105389.
[18] Qin G., Xia A., Lu H., Li R., Wang Y. H.*, et al. A hybrid machine learning model for predicting crater width formed by explosions of natural gas pipelines[J]. Journal of Loss Prevention in the Process Industries, 2023, 82(4):104994.
[19] Qin G., Gong C., Wang Y. H.* A probabilistic-based model for predicting pipeline third-party hitting rate[J]. Process Safety and Environmental Protection, 2021, 148: 333-341.
[20] Zhang P., Wang Y. H.*, et al. A novel method to assess safety of buried pressure pipelines under non-random process seismic excitation based on cloud model[J]. Applied Sciences, 2019, 9(4): 812.
[21] Zhang P., Wang Y. H.*, Qin G.. Fuzzy damage analysis of the seismic response of a long-distance pipeline under a coupling multi-influence domain[J]. Energies, 2019, 12(1): 62.
[22] Hou X., Wang Y. H.*, et al. Non-probabilistic time-varying reliability-based analysis of corroded pipelines considering the interaction of multiple uncertainty variables[J]. Energies, 2019, 12(10): 1965.
[23] Qin G. J.*, Zhang P., Hou X., Wu S., Wang Y. H. Risk assessment for oil leakage under the common threat of multiple natural hazards[J]. Environmental Science and Pollution Research, 27(14): 16507-16520.
[24] Zhang P., Qin G. J.*, Wang Y. H. Optimal Maintenance Decision Method for Urban Gas Pipelines Based on as Low as Reasonably Practicable Principle [J]. Sustainability, 2019, 11(1): 153.
[25] Zhang P., Wang Y. H.*, et al. Dynamic Reliability of Buried Pressure Pipelines Subjected to Random Space-Time Earthquake Load[J]. International Journal of Performability Engineering, 2019, 15(1): 179.
[26] 张鹏, 王艺环*, et al.随机时空地震载荷下长输埋地压力管道的响应分析[J].天然气工业, 2018, 38(12): 120-127.
[27] 张鹏, 王艺环*, et al. 非随机过程的地震激励下埋地压力管道的非概率可靠性分析[J]. 中国安全生产科学技术, 2018, 14(06): 134-141.
专利与软著：
[1] 王艺环, 夏爱琳, 秦国晋, 黎芮伶. 引入内检测数据的地震作用下腐蚀管道失效概率分析方法[P]. 中国发明专利, CN115358102B, 2023-01-31.
[2] 秦国晋, 黎芮伶, 王艺环, 夏爱琳, 黄云飞. 基于贝叶斯网络的并行油气管道多米诺效应风险分析方法[P]. 中国发明专利, CN115293656B,2023-04-07.
[3] 张鹏，王妮，苏灵波，秦国晋，王艺环，杨旭，张雷，黄云飞. 一种长输油气管线维抢修过程的模拟方法[P]. 中国发明专利，CN 201711117862.2.
[4] 王艺环, 张鹏.悬空管道跨中有腐蚀缺陷的可靠度计算软件.V1.0.登记号：2017SR422031.
科研项目
[1] 国家自然科学基金青年基金, 52304258, 2024.01-至今, 主持。
[2] 第74批中国博士后科学基金面上资助, 2023M742246, 2024.01-至今, 主持。
[3] 皇家永利自然科学基金青年基金, 24NSFSC4245, 2024.01-至今, 主持。
[4] 中国地震局工力所开放基金, 2023D47, 2024.01-至今, 主持。
[5] 油气藏地质及国家开发国家重点实验室开放基金, PLN2022-36, 2022.09-至今, 主持。
[6] 西南石油大学“启航计划”项目, 2022QHZ001, 2022.11-至今, 主持。
研究领域及团队
研究领域：
土木工程领域：基于风险和可靠性的能源管道结构完整性管理。
石油与天然气工程领域：能源管道安全运输技术。
荣誉奖励
[1] “孙越崎科技教育基金优秀学生奖”, 2021年。
[2] “地质灾害下油气管道安全可靠性技术”, 2020年中国产学研合作创新与促进奖产学研合作创新成果奖, 2021年, 第8位。
[3] “Optimal maintenance decision method for urban gas pipelines based on as low as reasonably practicable principle”, 首届川渝科学技术大会优秀论文二等奖, 2020年