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王藝環(huán)

職      稱(chēng):

副教授

博導(dǎo)/碩導(dǎo):

碩導(dǎo)

學(xué)科專(zhuān)業(yè):

土木工程

研究方向:

管道結(jié)構(gòu)完整性管理

聯(lián)系方式:

[email protected]


個(gè)人簡(jiǎn)介

王藝環(huán),博士,國(guó)家公派加拿大卡爾加里大學(xué)訪(fǎng)問(wèn)博士生,師從國(guó)務(wù)院特殊津貼專(zhuān)家張鵬教授與加拿大管道公司TC Energy首席管道完整性工程師Markus Dann教授,具備本領(lǐng)域世界領(lǐng)先課題組科研經(jīng)驗(yàn)。長(zhǎng)期致力于結(jié)構(gòu)可靠性評(píng)估與風(fēng)險(xiǎn)分析、能源管道結(jié)構(gòu)完整性管理的研究,主持自然科學(xué)基金青年基金、中國(guó)博士后面上項(xiàng)目、四川省自然科學(xué)基金青年基金等多個(gè)國(guó)家與省級(jí)項(xiàng)目。近三年以第一作者/通訊作者在Tunn. Undergr. Space Technol.、Thin Wall. Struct.、Int. J. Pres. Ves. Pip.、Process Saf. Environ.、Eng. Fail. Ana.、天然氣工業(yè)等國(guó)內(nèi)外知名期刊上發(fā)表近30余篇論文。一篇合作論文入選ESI熱點(diǎn)論文(前0.1%),兩篇合作論文入選ESI高被引(前1%)。天然氣工業(yè) 期刊青年同行評(píng)審及Eng. Struct. 、Reliab. Eng. Syst. Saf.、Compos. Struct.、Thin-Walled Struct.、Process Saf. Environ.、Int. J. Hydrogen Energ.、Ocean. Eng.、J. Petrol. Sci. Eng.等多個(gè)SCI期刊審稿人。

招生信息:

歡迎土木工程、土木水利、油氣儲(chǔ)運(yùn)工程等相關(guān)背景的學(xué)生報(bào)考

具備能力:中英文閱讀與寫(xiě)作能力;研究思維;上進(jìn)心

提供資源:中英文論文的寫(xiě)作指導(dǎo);繼續(xù)學(xué)習(xí)深造的reference(本團(tuán)隊(duì)或國(guó)內(nèi)外院校);足夠的科研經(jīng)費(fèi)

本科團(tuán)隊(duì):常年開(kāi)放

工作經(jīng)歷:

2025.3-至今 西南石油大學(xué) 土木工程與測(cè)繪學(xué)院 副教授

2022.4-2025.2 西南石油大學(xué) 土木工程與測(cè)繪學(xué)院 講師

2022.4-至今 四川省燃?xì)獍踩c高效利用工程技術(shù)研究中心 固定研究員

教育經(jīng)歷:

2018.9-2021.12: 西南石油大學(xué)機(jī)械工程專(zhuān)業(yè),博士研究生

2019.9-2021.3: 加拿大卡爾加里大學(xué)土木工程系,訪(fǎng)問(wèn)博士研究生

2016.9-2018.6: 西南石油大學(xué)土木工程專(zhuān)業(yè),碩士研究生

2012.9-2016.6: 西南石油大學(xué)土木工程專(zhuān)業(yè),本科生

學(xué)術(shù)組織任職:

美國(guó)Buried Assets Management Institute(石油和天然氣青年委員會(huì))秘書(shū)長(zhǎng)

國(guó)際土木工程期刊《Journal of Infrastructure Preservation and Resilience》青年編委

《Energies》(SCI)客座編輯

NACE(美國(guó)腐蝕工程師協(xié)會(huì))會(huì)員

ASME(美國(guó)機(jī)械工程師學(xué)會(huì))會(huì)員

四川省機(jī)械協(xié)會(huì)會(huì)員


教學(xué)及教學(xué)研究

本科生:《房屋建筑學(xué)》(本科生課程及國(guó)際留學(xué)生課程)

研究生:《西方建筑史》


代表性論文、著作和技術(shù)規(guī)程

代表性論文(*通訊作者):

[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] 張鵬, 王藝環(huán)*, et al.隨機(jī)時(shí)空地震載荷下長(zhǎng)輸埋地壓力管道的響應(yīng)分析[J].天然氣工業(yè), 2018, 38(12): 120-127.

[27] 張鵬, 王藝環(huán)*, et al. 非隨機(jī)過(guò)程的地震激勵(lì)下埋地壓力管道的非概率可靠性分析[J]. 中國(guó)安全生產(chǎn)科學(xué)技術(shù), 2018, 14(06): 134-141.

專(zhuān)利與軟著:

[1] 王藝環(huán), 夏愛(ài)琳, 秦國(guó)晉, 黎芮伶. 引入內(nèi)檢測(cè)數(shù)據(jù)的地震作用下腐蝕管道失效概率分析方法[P]. 中國(guó)發(fā)明專(zhuān)利, CN115358102B, 2023-01-31.

[2] 秦國(guó)晉, 黎芮伶, 王藝環(huán), 夏愛(ài)琳, 黃云飛. 基于貝葉斯網(wǎng)絡(luò)的并行油氣管道多米諾效應(yīng)風(fēng)險(xiǎn)分析方法[P]. 中國(guó)發(fā)明專(zhuān)利, CN115293656B,2023-04-07.

[3] 張鵬,王妮,蘇靈波,秦國(guó)晉,王藝環(huán),楊旭,張雷,黃云飛. 一種長(zhǎng)輸油氣管線(xiàn)維搶修過(guò)程的模擬方法[P]. 中國(guó)發(fā)明專(zhuān)利,CN 201711117862.2.

[4] 王藝環(huán), 張鵬.懸空管道跨中有腐蝕缺陷的可靠度計(jì)算軟件.V1.0.登記號(hào):2017SR422031.


科研項(xiàng)目

[1] 國(guó)家自然科學(xué)基金青年基金, 52304258, 2024.01-至今, 主持。

[2] 第74批中國(guó)博士后科學(xué)基金面上資助, 2023M742246, 2024.01-至今, 主持。

[3] 四川省自然科學(xué)基金青年基金, 24NSFSC4245, 2024.01-至今, 主持。

[4] 中國(guó)地震局工力所開(kāi)放基金, 2023D47, 2024.01-至今, 主持。

[5] 油氣藏地質(zhì)及國(guó)家開(kāi)發(fā)國(guó)家重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金, PLN2022-36, 2022.09-至今, 主持。

[6] 西南石油大學(xué)“啟航計(jì)劃”項(xiàng)目, 2022QHZ001, 2022.11-至今, 主持。


研究領(lǐng)域及團(tuán)隊(duì)

研究領(lǐng)域:

土木工程領(lǐng)域:基于風(fēng)險(xiǎn)和可靠性的能源管道結(jié)構(gòu)完整性管理。

石油與天然氣工程領(lǐng)域:能源管道安全運(yùn)輸技術(shù)。


榮譽(yù)獎(jiǎng)勵(lì)

[1] “孫越崎科技教育基金優(yōu)秀學(xué)生獎(jiǎng)”, 2021年。

[2] “地質(zhì)災(zāi)害下油氣管道安全可靠性技術(shù)”, 2020年中國(guó)產(chǎn)學(xué)研合作創(chuàng)新與促進(jìn)獎(jiǎng)產(chǎn)學(xué)研合作創(chuàng)新成果獎(jiǎng), 2021年, 第8位。

[3] “Optimal maintenance decision method for urban gas pipelines based on as low as reasonably practicable principle”, 首屆川渝科學(xué)技術(shù)大會(huì)優(yōu)秀論文二等獎(jiǎng), 2020年