海洋桥梁工程全寿命管理维护战略探讨

刘沐宇, 梁磊, 吴浩, 徐刚, 李倩

中国工程科学 ›› 2019, Vol. 21 ›› Issue (3) : 25-30.

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PDF(364 KB)
中国工程科学 ›› 2019, Vol. 21 ›› Issue (3) : 25-30. DOI: 10.15302/J-SSCAE-2019.03.013
海洋桥梁工程技术发展战略研究
Orginal Article

海洋桥梁工程全寿命管理维护战略探讨

作者信息 +

Lifecycle Management and Maintenance of Marine Bridge Engineering

Author information +
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摘要

我国海洋桥梁工程建设正不断向离岸深海长联大型发展,但由于其所处自然环境恶劣、地质与荷载条件复杂,针对海洋桥梁工程全寿命期的健康监测、测量技术、巡检技术、管理与维护,仍存在许多难题亟待解决。本文在总结目前桥梁工程全寿命管理维护存在问题的基础上,针对海洋桥梁提出多参量、高可靠、大容量、长距离的光纤传感健康监测、“天–空–地–海”一体化测量、自动化巡检和智能化管理维护平台等技术及其发展要点,研究各技术要点的重点难点问题和发展方向,探讨海洋桥梁工程全寿命管理维护技术的发展战略目标,为海洋桥梁工程建设和运营安全提供技术支撑。

Abstract

Marine bridge engineering in China is continuously developing to the offshore, deep-sea, long-distance, and large-scale directions. However, due to its harsh natural environment and complex geological and loading conditions, there still exist many problems in health monitoring, measurement technology, inspection technology, and maintenance-management for the lifecycle of marine bridge engineering. Therefore, after summarizing the existing problems in lifecycle management and maintenance of bridges, this paper proposes several key technologies for marine bridge development, including health monitoring based on multi-parameter, high-reliability, large-capacity, and long-distance optical-fiber sensing; space–air–ground–sea integrated measurement; automated inspection; and intelligent management and maintenance platforms. Meanwhile, this paper studies the difficulties and development directions of these technologies, and explores development strategies and recommendations for the lifecycle management and maintenance technology of marine bridge engineering, thereby providing technical support for the construction and operation safety of marine bridge engineering.

关键词

海洋桥梁工程 / 全寿命管理 / 健康监测 / 自动化巡检 / 工程测绘 / 智能维护

Keywords

marine bridge engineering / lifecycle management / health monitoring / automated inspection / engineering mapping / intelligent maintenance

引用本文

导出引用
刘沐宇, 梁磊, 吴浩. 海洋桥梁工程全寿命管理维护战略探讨. 中国工程科学. 2019, 21(3): 25-30 https://doi.org/10.15302/J-SSCAE-2019.03.013

参考文献

[1]
郭健. 跨海大桥健康监测的关键技术分析 [J]. 中国工程科学, 2010, 12(7): 90–95. Guo J. Key technical analysis of cross-sea bridge health monitoring [J]. Strategic Study of CAE, 2010, 12(7): 90–95.
[2]
聂功武, 孙利民. 桥梁养护巡检与健康监测系统信息的融合 [J]. 上海交通大学学报, 2011, 45(S1): 104–108. Nie G W, Sun L M. Fusion of bridge maintenance inspection and health monitoring system information [J]. Journal of Shanghai Jiao Tong University, 2011, 45(S1): 104–108.
[3]
成虎, 韩豫. 工程管理系统思维与工程全寿命期管理 [J]. 东南 大学学报 (哲学社会科学版), 2012, 14(2): 36–40. Cheng H, Han Y. Engineering management system thinking and engineering life cycle management [J]. Journal of Southeast University (Philosophy and Social Sciences), 2012, 14(2): 36–40.
[4]
徐刚, 王闵, 梁磊, 等. 基于光纤光栅的叶片状态在线监测研究 [J]. 仪表技术与传感器, 2017 (3): 64–67. Xu G, Wang W, Liang L, et al. On-line monitoring of blade state based on fiber Bragg grating [J]. Instrument Technique and Sensor, 2017 (3): 64–67.
[5]
张宁, 陈伟, 郑兴, 等. Fe-C 膜光纤光栅锈蚀传感器在模拟海洋 环境中的特性研究 [J]. 功能材料, 2015, 46(1): 1074–1078. Zhang N, Chen W, Zheng X, et al. Fe-C film fiber grating rust sensor in the simulation of marine environment characteristics [J]. Functional Materials, 2015, 46(1): 1074–1078.
[6]
徐一旻, 李盛. 结构健康监测系统在大型桥梁运营养护与安 全管理中的应用 [J]. 武汉理工大学学报 (信息与管理工程版), 2017, 39(3): 254–258. Xu Y Z, Li S. Application of structural health monitoring system in maintenance and safety management of large bridge operations [J]. Journal of Wuhan University of Technology (Information and Management Engineering Edition), 2017, 39(3): 254–258.
[7]
杨元喜, 徐天河, 薛树强. 我国海洋大地测量基准与海洋导航技 术研究进展与展望 [J]. 测绘学报, 2017, 46(1): 1–8. Yang Y X, Xu T H, Xue S Q. Research progress and prospects of marine geodetic reference and marine navigation technology in China [J]. Journal of Surveying and Mapping, 2017, 46(1): 1–8.
[8]
赵建虎, 王爱学. 精密海洋测量与数据处理技术及其应用进展 [J]. 海洋测绘, 2015, 35(6): 1–7. Zhao J H, Wang A X. Precision ocean measurement and data processing technology and its application progress [J]. Marine Mapping, 2015, 35(6): 1–7.
[9]
李德仁, 李明. 无人机遥感系统的研究进展与应用前景 [J]. 武 汉大学学报 (信息科学版), 2014, 39(5): 505–512. Li D R, Li M. Research progress and application prospects of UAV remote sensing system [J]. Journal of Wuhan University (Information Science Edition), 2014, 39(5): 505–512.
[10]
朱明敏, 尹新刚, 王晓晶. 基于生命过程的桥梁智能养护决策方 法研究 [J]. 公路交通科技 (应用技术版), 2012, 8(12): 17–19. Zhu M M, Yin X G, Wang X J. Research on decision-making method of bridge intelligent maintenance based on life process [J]. Highway Traffic Technology (Application Technology Edition), 2012, 8(12): 17–19.
[11]
Miyamoto A, Kawamura K, Nakamura H. Bridge management system and maintenance optimization for existing bridges [J]. Computer-Aided Civil and Infrastructure Engineering, 2010, 15(1): 45–55.
[12]
Roshandeh A M, Poormizaee R, Ansari F S. Systematic data management for real-time bridge health monitoring using layered big data and cloud computing [J]. International Journal of Innovation and Scientific Research, 2014, 2(1): 29–39.
基金
中国工程院咨询项目“海洋桥梁工程技术发展战略研究”(2016-XZ-13)
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