Application of Durability Monitoring Technology to Cross-Sea Passage Project Structure
摘 要
为保障跨海通道工程安全运营维护,确保跨海工程设计使用寿命,结合深中通道的工程案例,针对跨海通道腐蚀环境及结构特点,提出了结构耐久性健康监测的设计方案。该方案优选安装了36套耐久性监测传感器,成功搭建了5套耐久性监测系统。同时结合现场采集的数据,对结构的耐久性状况进行了前期分析。监测结果表明,深中通道结构的耐久性健康状态良好。
Abstract
In order to ensure safe operation and maintenance of the cross-sea passage project and ensure the design service life of the cross-sea passage project, a design scheme for structure durability health monitoring was proposed based on the corrosion environment and structural characteristics of the cross-sea passage in combination with the engineering case of the Shenzhen-Zhongshan Link. In this scheme, 36 sets of durability monitoring sensors were selected and installed, and 5 sets of durability monitoring systems were successfully built. At the same time, the durability situation of the structure was analyzed in the early stage, combined with the data collected on site. The monitoring results showed that the structure of Shenzhen-Zhongshan Link was in good durability condition.
中图分类号 U445 TU375 DOI 10.11973/fsyfh-202308001
所属栏目 腐蚀监检测技术及其应用
基金项目 广东省重点领域研发计划项目(2019B111106002)
收稿日期 2023/1/4
修改稿日期
网络出版日期
作者单位点击查看
引用该论文: MAO Xingquan,CHEN Haoxiang,FANG Xiang,ZHANG Dongfang,FAN Zhihong. Application of Durability Monitoring Technology to Cross-Sea Passage Project Structure[J]. Corrosion & Protection, 2023, 44(8): 1
共有人对该论文发表了看法,其中:
人认为该论文很差
人认为该论文较差
人认为该论文一般
人认为该论文较好
人认为该论文很好
参考文献
【1】宋神友, 陈伟乐. 深中通道桥梁工程方案及主要创新技术[J]. 桥梁建设, 2021, 51(5):1-7.
【2】COSTA A, APPLETON J. Case studies of concrete deterioration in a marine environment in Portugal[J]. Cement and Concrete Composites, 2002, 24(1):169-179.
【3】SEGURA I, CAVALARO S, DE LA FUENTE A, et al. Service-life assessment of existing precast concrete structure exposed to severe marine conditions[J]. Journal of Performance of Constructed Facilities, 2016, 30(3):04015036.
【4】CHEN S L, DUFFIELD C, MIRAMINI S, et al. Life-cycle modelling of concrete cracking and reinforcement corrosion in concrete bridges:a case study[J]. Engineering Structures, 2021, 237:112143.
【5】SANCHEZ-SILVA M, KLUTKE G A, ROSOWSKY D V. Life-cycle performance of structures subject to multiple deterioration mechanisms[J]. Structural Safety, 2011, 33(3):206-217.
【6】TAFFESE W Z, NIGUSSIE E, ISOAHO J. Internet of Things based durability monitoring and assessment of reinforced concrete structures[J]. Procedia Computer Science, 2019, 155:672-679.
【7】易忠来, 李化建, 谢永江, 等. 混凝土结构耐久性监测技术研究进展[J]. 混凝土, 2012(5):22-26.
【8】金祖权, 赵铁军, 张鹏, 等. 海底隧道混凝土结构耐久性监测[J]. 硅酸盐学报, 2013, 41(2):205-210.
【9】刘红彪, 计子凡, 张树龙, 等. 基于阳极梯传感器的新建高桩码头结构耐久性监测与自动控制技术研究[J]. 水道港口, 2019, 40(6):680-686.
【10】XIA D H, DENG C M, MACDONALD D, et al. Electrochemical measurements used for assessment of corrosion and protection of metallic materials in the field:a critical review[J]. Journal of Materials Science & Technology, 2022, 112:151-183.
【11】XIA D H, SONG S Z, BEHNAMIAN Y, et al. Review-electrochemical noise applied in corrosion science:theoretical and mathematical models towards quantitative analysis[J]. Journal of the Electrochemical Society, 2020, 167(8):081507.
【12】王胜年, 汤雁冰, 杨海成, 等. 基于长期性能观测的海工混凝土结构耐久性研究的新思路[J]. 水运工程, 2017(10):60-66.
【13】方翔, 殷振东, 陈昊翔, 等. 海洋环境钢筋混凝土结构耐久性监测和检测对比研究[J]. 海洋工程, 2021, 39(6):111-118.
【14】王霄, 陈志坚, 徐钢. 基于阳极梯系统的苏通大桥锚固区腐蚀监测研究[J]. 建筑科学与工程学报, 2012, 29(4):106-111.
【15】苏权科, 熊建波, 邓春林, 等. 基于原型监测数据的氯盐环境下混凝土结构寿命预测方法:CN106990032B[P]. 2019-12-13.
【16】汤雁冰, 王胜年. 混凝土耐久性监测传感器的研制及应用[J]. 水运工程, 2015(3):99-103.
【17】方翔, 王康臣, 范志宏, 等. 一种基于氯离子浓度监测的钢筋混凝土构件寿命预测方法:CN112529255B[P]. 2021-12-17.
【2】COSTA A, APPLETON J. Case studies of concrete deterioration in a marine environment in Portugal[J]. Cement and Concrete Composites, 2002, 24(1):169-179.
【3】SEGURA I, CAVALARO S, DE LA FUENTE A, et al. Service-life assessment of existing precast concrete structure exposed to severe marine conditions[J]. Journal of Performance of Constructed Facilities, 2016, 30(3):04015036.
【4】CHEN S L, DUFFIELD C, MIRAMINI S, et al. Life-cycle modelling of concrete cracking and reinforcement corrosion in concrete bridges:a case study[J]. Engineering Structures, 2021, 237:112143.
【5】SANCHEZ-SILVA M, KLUTKE G A, ROSOWSKY D V. Life-cycle performance of structures subject to multiple deterioration mechanisms[J]. Structural Safety, 2011, 33(3):206-217.
【6】TAFFESE W Z, NIGUSSIE E, ISOAHO J. Internet of Things based durability monitoring and assessment of reinforced concrete structures[J]. Procedia Computer Science, 2019, 155:672-679.
【7】易忠来, 李化建, 谢永江, 等. 混凝土结构耐久性监测技术研究进展[J]. 混凝土, 2012(5):22-26.
【8】金祖权, 赵铁军, 张鹏, 等. 海底隧道混凝土结构耐久性监测[J]. 硅酸盐学报, 2013, 41(2):205-210.
【9】刘红彪, 计子凡, 张树龙, 等. 基于阳极梯传感器的新建高桩码头结构耐久性监测与自动控制技术研究[J]. 水道港口, 2019, 40(6):680-686.
【10】XIA D H, DENG C M, MACDONALD D, et al. Electrochemical measurements used for assessment of corrosion and protection of metallic materials in the field:a critical review[J]. Journal of Materials Science & Technology, 2022, 112:151-183.
【11】XIA D H, SONG S Z, BEHNAMIAN Y, et al. Review-electrochemical noise applied in corrosion science:theoretical and mathematical models towards quantitative analysis[J]. Journal of the Electrochemical Society, 2020, 167(8):081507.
【12】王胜年, 汤雁冰, 杨海成, 等. 基于长期性能观测的海工混凝土结构耐久性研究的新思路[J]. 水运工程, 2017(10):60-66.
【13】方翔, 殷振东, 陈昊翔, 等. 海洋环境钢筋混凝土结构耐久性监测和检测对比研究[J]. 海洋工程, 2021, 39(6):111-118.
【14】王霄, 陈志坚, 徐钢. 基于阳极梯系统的苏通大桥锚固区腐蚀监测研究[J]. 建筑科学与工程学报, 2012, 29(4):106-111.
【15】苏权科, 熊建波, 邓春林, 等. 基于原型监测数据的氯盐环境下混凝土结构寿命预测方法:CN106990032B[P]. 2019-12-13.
【16】汤雁冰, 王胜年. 混凝土耐久性监测传感器的研制及应用[J]. 水运工程, 2015(3):99-103.
【17】方翔, 王康臣, 范志宏, 等. 一种基于氯离子浓度监测的钢筋混凝土构件寿命预测方法:CN112529255B[P]. 2021-12-17.
相关信息