Structural health monitoring by Lyapunov exponents of non-linear time series

被引:27
作者
Casciati, F [1 ]
Casciati, S [1 ]
机构
[1] Univ Pavia, Dept Struct Mech, I-27100 Pavia, Italy
关键词
dynamic system; Kolmogorov entropy; Lyapunov dimension; Lyapunov exponents; observed variables space; structural health monitoring;
D O I
10.1002/stc.141
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this study, structural health monitoring is pursued by collecting multi-channel measurements and by computing, directly from them, the Lyapunov exponents. The latter quantities are invariants of the dynamic system, so that their different values, associated with different time histories obtained from the same structure, denote damage. First, the problem is framed in the general theory. The structural health monitoring strategy is then formulated, with special care being devoted to its capability of localizing damage. The procedure is finally validated by using the time histories which were collected during the experimental tests on the model of a monumental arch. Copyright (c) 2005 John Wiley & Sons, Ltd.
引用
收藏
页码:132 / 146
页数:15
相关论文
共 19 条
  • [1] Abarbanel H., 1996, ANAL OBSERVED CHAOTI
  • [2] BASSEVILLE M, 1997, 3299 INRIA
  • [3] BENI F, 2003, P 3 WORLD C STRUCT C, V3, P139
  • [4] CASCIATI F, 2005, P 9 INT EN ENG C SHA
  • [5] Casciati S, 2003, STRUCTURAL HEALTH MONITORING AND INTELLIGENT INFRASTRUCTURE, VOLS 1 AND 2, P423
  • [6] CASCIATI S, 2005, THESIS U PAVIA
  • [7] Casciati S, 2003, STRUCTURAL HLTH MONI, P733
  • [8] Faravelli L, 2004, PROGR STRUCTURAL ENG, V6, P104, DOI DOI 10.1002/PSE.171
  • [9] FARRAR CF, 2003, LA14051MS LOS AL LAB
  • [10] Practical implementation of nonlinear time series methods: The TISEAN package
    Hegger, R
    Kantz, H
    Schreiber, T
    [J]. CHAOS, 1999, 9 (02) : 413 - 435