Fatigue crack detection of steel truss bridge by using mechanoluminescent sensor

被引:0
|
作者
Terasaki, N. [1 ]
Xu, C. -N. [1 ]
Li, C. [1 ]
Zhang, L. [1 ]
Sakata, Y. [1 ]
Ueno, N. [1 ]
Xu, C. -N. [1 ]
Yasuda, K.
Ichinose, L. H.
机构
[1] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki, Japan
关键词
STRESS-DISTRIBUTION; DYNAMIC VISUALIZATION; TRIBOLUMINESCENCE;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Recently, innovative mechanoluminescent (ML) particles have been made available, each of which repeatedly emits light in response to small stresses that are applied, such as deformation, friction, or impact. When dispersedly coated on a structure, each particle acts as a sensitive mechanical sensor, while the two-dimensional emission pattern of the whole assembly reflects the dynamical stress distribution inside the structure and the mechanical information around the crack and defect. From results of the application of a ML sensing technique to an aged bridge with fatigue crack and diagonal failure, we successfully measured the stress concentration at the tip of the crack and the crack mouth opening displacement in a dynamical loading test with a heavy vehicle (over 25 t). Such cracks went undetected and hence were unexpected by conventional inspection methods. We also succeeded in distinguishing the influence between before and after diagonal failure from the ML intensity and pattern.
引用
收藏
页码:2542 / 2549
页数:8
相关论文
共 50 条
  • [31] Influence of asphalt on fatigue crack monitoring in steel bridge decks using guided waves
    Pahlavan, Lotfollah
    Mota, Mariana M.
    Blacquiere, Gerrit
    CONSTRUCTION AND BUILDING MATERIALS, 2016, 120 : 593 - 604
  • [32] THE ELECTROCHEMICAL FATIGUE SENSOR: A NOVEL SENSOR FOR ACTIVE FATIGUE CRACK DETECTION AND CHARACTERIZATION
    Phares, Brent M.
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE, 2007,
  • [33] Fatigue evaluation of steel-concrete composite deck in steel truss bridge——A case study
    CHEN Huating
    ZHAN Xianwei
    ZHU Xiufu
    ZHANG Wenxue
    Frontiers of Structural and Civil Engineering, 2022, 16 (10) : 1336 - 1350
  • [34] Fatigue Crack Propagation Behavior of The Welded Steel of a Railway Bridge
    Miranda, R. M. C.
    Albuquerque, C.
    Richter-Trummer, V.
    de Figueiredo, M. A. V.
    Calcada, R.
    de Castro, P. M. S. T.
    ADVANCED MATERIALS FORUM VI, PTS 1 AND 2, 2013, 730-732 : 787 - +
  • [35] AE characteristics for monitoring fatigue crack in steel bridge members
    Yoon, DJ
    Jung, JC
    Park, P
    Lee, SS
    NONDESTRUCTIVE EVALUATION OF HIGHWAYS, UTILITIES, AND PIPELINES IV, 2000, 3995 : 153 - 162
  • [36] Automated location of steel truss bridge damage using machine learning and raw strain sensor data
    Parisi, F.
    Mangini, A. M.
    Fanti, M. P.
    Adam, Jose M.
    AUTOMATION IN CONSTRUCTION, 2022, 138
  • [37] FATIGUE INVESTIGATION OF A RAILWAY TRUSS BRIDGE
    SZELISKI, ZL
    ELKHOLY, IA
    CANADIAN JOURNAL OF CIVIL ENGINEERING, 1984, 11 (03) : 625 - 631
  • [38] Comprehensive investigation on the cause of a critical crack found in a diagonal member of a steel truss bridge
    Wang, Q.
    Nakamura, S.
    Okumatsu, T.
    Nishikawa, T.
    ENGINEERING STRUCTURES, 2017, 132 : 659 - 670
  • [39] Detection of Fatigue Crack Initiation at Welded Joints of Railway Steel Truss Bridges under the Dynamic Action of Moving Trains
    Qu, W.
    He, Z.
    Liu, J.
    Pi, Y. -L.
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY, 2010, 93
  • [40] Fatigue Crack Propagation Analysis of Orthotropic Steel Bridge with Crack Tip Elastoplastic Consideration
    Wang, Ying
    Yan, Zheng
    Wang, Zhen
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2021, 127 (02): : 549 - 574