Inverse analysis using compatible displacements

被引:0
|
作者
Lei, Jun [1 ]
Xu, Dong [1 ]
Tunno, Jose [2 ]
机构
[1] Tongji Univ, Shanghai, Peoples R China
[2] Univ Politecn Cataluna, Barcelona, Spain
关键词
STRUCTURAL MODELS; IDENTIFICATION; DAMAGE; SYSTEMS; OBSERVABILITY; OPTIMIZATION; PARAMETERS;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To avoid potential life and economic loss, structural health monitoring has become increasingly important for bridge systems. As a key component of structural health monitoring, structural system identification (SSI) tries to identify the structural parameters through the measured response. However, due to the ill-posedness of inverse analysis, the estimation of parameters is greatly affected by measurement errors. To alleviate the adverse effect of errors, the relations among the displacements in beam structures (for instance bridges), compatibility conditions, are derived analytically via a symbolical approach. Then a set of compatible displacements is obtained by an optimization procedure that finds the closest compatible deformation shape to the measured one. The final estimations of the parameters are obtained by providing the compatible displacements to SSI. The proposed method is validated by the numerical simulations on a simply supported bridge and on a continuous bridge.
引用
收藏
页码:1590 / 1595
页数:6
相关论文
共 50 条
  • [1] A BOUNDARY ELEMENT ALGORITHM USING COMPATIBLE BOUNDARY DISPLACEMENTS AND TRACTIONS
    PILTNER, R
    TAYLOR, RL
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 1990, 29 (06) : 1323 - 1341
  • [2] Genetic algorithms for inverse analysis of displacements in geotechnical engineering
    Wang, Denggang
    Liu, Yingxi
    Li, Shouju
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2000, 19 (SUPPL.): : 979 - 982
  • [3] Inverse analyses of arch dam displacements using improved parallel genetic algorithm
    Liu, Yaoru
    Yang, Qiang
    Liu, Fushen
    Zhou, Weiyuan
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2006, 46 (09): : 1542 - 1545
  • [4] DETERMINATION OF NOMINAL JOINT DISPLACEMENTS OF A FLEXIBLE LINK MANIPULATOR BY INVERSE KINEMATICS ANALYSIS
    XI, F
    FENTON, RG
    MECHANISM AND MACHINE THEORY, 1994, 29 (03) : 393 - 405
  • [5] NONLINEAR DEFLECTION ANALYSIS OF FIBERS USING DISPLACEMENTS
    WHITNEY, JM
    LEISSA, AW
    TEXTILE RESEARCH JOURNAL, 1966, 36 (05) : 413 - &
  • [6] NONLINEAR DEFLECTION ANALYSIS OF FIBERS USING DISPLACEMENTS
    ALLAN, GG
    SMITH, LA
    TEXTILE RESEARCH JOURNAL, 1968, 38 (08) : 873 - &
  • [7] Compatible Reward Inverse Reinforcement Learning
    Metelli, Alberto Maria
    Pirotta, Matteo
    Restelli, Marcello
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [8] CONTACT-SLIP ANALYSIS USING MIXED DISPLACEMENTS
    HABER, RB
    ABEL, JF
    JOURNAL OF ENGINEERING MECHANICS-ASCE, 1983, 109 (02): : 411 - 429
  • [9] STRUCTURAL-ANALYSIS OF MECHANISMS BY USING SET OF DISPLACEMENTS
    HERVE, JM
    MECHANISM AND MACHINE THEORY, 1978, 13 (04) : 437 - 450
  • [10] Multi-zone parametric inverse analysis of super high arch dams using deep learning networks based on measured displacements
    Liu, Xi
    Kang, Fei
    Limongelli, Maria Pina
    ADVANCED ENGINEERING INFORMATICS, 2023, 56