EM-Based Monitoring and Probabilistic Analysis of Prestress Loss of Bonded Tendons in PSC Beams

被引:0
|
作者
Chen, Zheheng [1 ,2 ]
Zhang, Shanwen [1 ]
机构
[1] Southeast Univ, Sch Civil Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Southeast Univ, Minist Educ, Key Lab Concrete & Prestressed Concrete Struct, Nanjing 210096, Jiangsu, Peoples R China
关键词
TIME-DEPENDENT DEFLECTIONS; BOX-GIRDER BRIDGE; CONCRETE; RELIABILITY; PERFORMANCE; SHRINKAGE; CREEP;
D O I
10.1155/2018/4064362
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The prestress level is a key factor of prestressed concrete (PSC) beams, affecting their long-term serviceability and safety. Existing monitoring methods, however, are not effective in obtaining the force or stress of embedded tendons. This paper investigates the feasibility of elastomagnetic (EM) sensors, which have been used for external tendons, in monitoring the long-term prestress loss of bonded tendons. The influence of ambient temperature, water, eccentricity ratio, plastic duct, and cement grouts on the test results of EM sensors is experimentally examined. Based on the calibrated EM sensors, prestress loss of a group of PSC beams was monitored for one year. In order to further consider the high randomness in material, environment, and construction, probabilistic analysis of prestress loss is conducted. Finally, the variation range of prestress loss with a certain confidence level is obtained and is compared with the monitored data, which provides a basis for the determination of prestress level in the design of PSC beams.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Prestress loss in unbonded prestressed concrete beams based on the strain reduction coefficient
    Paez, Pablo M.
    Sensale-Cozzano, Berardi
    MATERIALS AND STRUCTURES, 2024, 57 (07)
  • [22] Performance Analysis of EM-Based Iterative SNR Estimation for Coded Signals
    Ke Jing
    Xu Hua
    Wang Ai-fen
    PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1384 - 1387
  • [23] Prestress loss monitoring in concrete beams using quasi-distributed FBG sensors steel strands
    Qin H.
    Lei J.
    Tang P.
    Luo B.
    Journal of Railway Science and Engineering, 2023, 20 (07) : 2740 - 2750
  • [24] Prestress-force monitoring using impedance-based smart sensor nodes in PSC girder bridges
    Kim, J. -T.
    Hong, D. -S.
    Lee, S. -Y.
    Park, J. -H.
    BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, 2010, : 209 - 217
  • [25] An EM-based likelihood inference for degradation data analysis using gamma process
    Palayangoda, Lochana
    Balakrishnan, N.
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2024,
  • [26] Experimental investigation of prestress loss in PC beams based on BOTDA/FBG smart steel strands
    Lan, Chunguang
    Liu, Hang
    Zhou, Zhi
    Lan, C. (lcg98011210@163.com), 2013, Chinese Society of Civil Engineering (46): : 55 - 61
  • [27] EM-Based Automatic Structure Classification through Principal Components Analysis with Improved Criterion
    Liu, Zi-Liang
    Wang, Chao-Fu
    2020 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT 2020 ONLINE), 2020,
  • [28] Performance analysis of two EM-based measurement bias estimation processes for tracking systems
    Lu, Zhi-hua
    Zhu, Meng-yao
    Ye, Qing-wei
    Zhou, Yu
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2018, 19 (09) : 1151 - 1165
  • [29] Monitoring and analysis of long-term prestress losses in post-tensioned concrete beams
    Guo, Tong
    Chen, Zheheng
    Lu, Shuo
    Yao, Ruigen
    MEASUREMENT, 2018, 122 : 573 - 581
  • [30] Monitoring and Analysis of Prestress Loss in Prestressed Box Girder Bridges Strengthened with External Prestressing
    Guo, Haoran
    Yang, Jing
    Tang, Renjie
    Yang, Caiqian
    Xu, Fu
    SENSORS, 2024, 24 (14)