[1]曹建树,姬保平,纪卫克.X80管道内表面裂纹的激光超声检测方法与试验[J].油气储运,2021,40(12):1365-1369.[doi:10.6047/j.issn.1000-8241.2021.12.006]
 CAO Jianshu,JI Baoping,JI Weike.Laser ultrasonic detection method and test for inner surface cracks of X80 pipelines[J].Oil & Gas Storage and Transportation,2021,40(12):1365-1369.[doi:10.6047/j.issn.1000-8241.2021.12.006]
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X80管道内表面裂纹的激光超声检测方法与试验

参考文献/References:

[1] 黄维和,郑洪龙,李明菲. 中国油气储运行业发展历程及展望[J]. 油气储运,2019,38(1):1-11. HUANG W H, ZHENG H L, LI M F. Development history and prospect of oil & gas storage and transportation industry in China[J]. Oil & Gas Storage and Transportation, 2019, 38(1): 1-11.
[2] 祝悫智,李秋扬,吴超,赵明华,张斌,张玉志,等. 2017 年全球油 气管道建设现状及发展趋势[J]. 油气储运,2019,38(4):373-378. ZHOU Q Z, LI Q Y, WU C, ZHAO M H, ZHANG B, ZHANG Y Z, et al. Construction status and development trend of global oil & gas pipelines in 2017[J]. Oil & Gas Storage and Transportation, 2019, 38(4): 373-378.
[3] 姜昌亮. 石油天然气管网资产完整性管理思考与对策[J]. 油气 储运,2021,40(5):481-491. JIANG C L. Consideration and countermeasures of asset integrity management of oil and gas pipeline networks[J]. Oil & Gas Storage and Transportation, 2021, 40(5): 481-491.
[4] 赵堂玉. 2020 年中国天然气产业链发展回顾及展望[J]. 油气储 运,2021,40(4):371-376. ZHAO T Y. Review and prospect of China’s natural gas industry chain in 2020[J]. Oil & Gas Storage and Transportation, 2021, 40(4): 371-376.
[5] 张振永. 高钢级大口径天然气管道环焊缝安全提升设计关键[J]. 油气储运,2020,39(7):740-748. ZHANG Z Y. Key factors for safety improvement design of girth weld in high-grade large diameter natural gas pipelines[J]. Oil & Gas Storage and Transportation, 2020, 39(7): 740-748.
[6] 程玉峰. 保障中俄东线天然气管道长期安全运行的若干技术思 考[J]. 油气储运,2020,39(1):1-8. CHENG Y F. Technical insights into the long-term integrity and sustainability of China-Russia Eastern Gas Pipeline[J]. Oil & Gas Storage and Transportation, 2020, 39(1): 1-8.
[7] 姬保平. 激光超声管道检测系统关键技术研究[D]. 北京:北京 石油化工学院,2016. JI B P. Research on the key technology of laser ultrasonic pipeline inspection system[D]. Beijing: Beijing Institute of Petrochemical Technology, 2016.
[8] 张元良,张洪潮,赵嘉旭,周志民,王金龙. 高端机械装备再制造 无损检测综述[J]. 机械工程学报,2013,49(7):80-90. ZHANG Y L, ZHANG H C, ZHAO J X, ZHOU Z M, WANG J L. Review of non-destructive testing for remanufacturing of high-end equipment[J]. Journal of Mechanical Engineering, 2013, 49(7): 80-90.
[9] 李育忠,郑宏丽,贾世民,刘全利,邓凯夫,张金权. 国内外油气管道 检测监测技术发展现状[J]. 石油科技论坛,2012,31(2):30-35,75. LI Y Z, ZHENG H L, JIA S M, LIU Q L, DENG K F, ZHANG J Q. Status of oil & gas pipeline inspection and monitoring both at home and abroad[J]. Petroleum Science and Technology Forum, 2012, 31(2): 30-35, 75.
[10] CHANG Y, YANG D X, GUO Y N. Laser ultrasonic damage detection in coating-substrate structure via Pearson correlation coefficient[J]. Surface and Coatings Technology, 2018, 353: 339-345.
[11] SUN G K, ZHAO L M, DONG M L, LOU X P, ZHU L Q. Noncontact characterization of debonding in lead-alloy steel bonding structure with laser ultrasound[J]. Optik, 2018, 164: 734-744.
[12] LI K S, MA Z Y, FU P, KRISHNASWAMY S. Quantitative evaluation of surface crack depth with a scanning laser source based on particle swarm optimization-neural network[J]. NDT & E International, 2018, 98: 208-214.
[13] 郭海洋,徐志祥,刘志毅,张祥春. 带涂层金属板件缺陷的激光 超声检测研究[J]. 激光与红外,2017,47(5):541-547. GUO H Y, XU Z X, LIU Z Y, ZHANG X C. Laser ultrasonic test for defects of metal plate with coating[J]. Laser & Infrared, 2017, 47(5): 541-547.
[14] 曹建树,钟君,李家政,罗振兴,张海超,王庆. 基于LabVIEW 的激光超声管道检测系统[J]. 中国测试,2017,43(10):80-85. CAO J S, ZHONG J, LI J Z, LUO Z X, ZHANG H C, WANG Q. Inspection system of pipeline by laser ultrasonic based on LabVIEW[J]. China Measurement & Testing Technology, 2017, 43(10): 80-85.
[15] 曾宪林,徐良法. 激光超声技术及其在无损检测中的应用[J]. 激光与红外,2002,32(4):224-227. ZENG X L, XU L F. Laser ultrasonic technique and its applications in non-destructive testing[J]. Laser & Infrared, 2002, 32(4): 224-227.
[16] 施德恒,陈玉科,孙金锋,朱遵略,刘玉芳. 激光超声技术及其 在无损检测中的应用概况[J]. 激光杂志,2004,25(5):1-4. SHI D H, CHEN Y K, SUN J F, ZHU Z L, LIU Y F. A review on laser ultrasonic technique and its applications in nondestructive testing[J]. Laser Journal, 2004, 25(5): 1-4.
[17] 陈清明,蔡虎,程祖海. 激光超声技术及其在无损检测中的应 用[J]. 激光与光电子学进展,2005,42(4):53-57. CHEN Q M, CAI H, CHENG Z H. Laser ultrasonic technology and its applications[J]. Laser & Optoelectronics Progress, 2005, 42(4): 53-57.
[18] 杨依光,赵锋,王飞,焦书浩. 管道壁厚及焊缝缺陷激光超声检 测技术[J]. 油气储运,2015,34(7):751-754. YANG Y G, ZHAO F, WANG F, JIAO S H. Laser ultrasonic detection technology of pipe wall thickness and weld defects[J]. Oil & Gas Storage and Transportation, 2015, 34(7): 751-754.
[19] 周正干,孙广开,李征,陈秀成. 复合材料层压板钻孔分层激光 超声检测方法[J]. 机械工程学报,2013,49(22):29-33. ZHOU Z G, SUN G K, LI Z, CHEN X C. Laser ultrasonic detection of drilling-induced delamination in composite laminates[J]. Journal of Mechanical Engineering, 2013, 49(22): 29-33.
[20] ZENG W, WANG H T, TIAN G Y, HU G X. Application of laser ultrasound imaging technology in the frequency domain based on Wigner-Ville algorithm for detecting defect[J]. Optics & Laser Technology, 2015, 74: 72-78.
[21] ZHANG K S, ZHOU Z G, ZHOU J H, SUN G K. Characteristics of laser ultrasound interaction with multi-layered dissimilar metals adhesive interface by numerical simulation[J]. Applied Surface Science, 2015, 353: 284-290.

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备注/Memo

收稿日期:2020-03-11;修回日期:2021-09-22;编辑:韩文超
基金项目:北京市自然科学基金资助项目“管道内部缺陷激光超声检测及定量表征方法研究”,3182008。
作者简介:曹建树,男,1971 年生,教授,2014 年博士毕业于中国石油大学(北京)机械电子工程专业,现主要从事天然气长输管道无损检测及机器人技术研究工作。地址:北京市大兴区清源北路19号,102617。电话:13671325692。Email:jianshu@bipt.edu.cn

更新日期/Last Update: 2021-12-25