Application of Nonlinear dynamics analysis to damage detection and health monitoring of highway structures

被引:4
作者
Livingston, RA [1 ]
Jin, S [1 ]
Marzougui, D [1 ]
机构
[1] Fed Highway Adm, Washington, DC 20591 USA
来源
HEALTH MONITORING AND MANAGEMENT OF CIVIL INFRASTRUCTURE SYSTEMS | 2001年 / 4337卷
关键词
highway bridge; health monitoring; nonlinear dynamics; Lyapunov spectrum; chaos theory; Monte Carlo;
D O I
10.1117/12.435615
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This describes a research program to apply nonlinear analysis and chaos theory to structural health monitoring. Earlier approaches based on linear modal analysis typically examined fundamental frequencies of the structure. However, significant changes in the fundamental frequency were usually not detected until the structure was severely damaged. In chaos theory, the fundamental frequencies are not assumed to be fixed, instead they wander in time in a characteristic pattern around a central value, called an attractor. In a chaotic system, a set of parameters called Lyapunov exponents play the role of fundamental frequencies in linear system analysis. The current FHWA research program involves the development of algorithms to extract these exponents from structural monitoring data. These algorithms are being evaluated against simulated data sets produced by an advanced 3-D nonlinear dynamics finite element code (LS-DYNA) using synthesized ambient traffic loadings, Chaotic behavior was observed in the modeled bridge.
引用
收藏
页码:402 / 410
页数:9
相关论文
共 9 条
[1]  
Farrar CR, 1997, STRUCTURAL HEALT H MONITORING, P351
[2]  
Hallquist J.O., 1997, LS DYNA USERS MANUAL
[3]  
JIN S, 2001, SPIE, V4337
[4]  
LIVINGSTON RA, 1998, FIBER OPTIC SENSORS, P3
[5]  
MARZOUGUI D, 2001, SPIE, V4337
[6]  
Moon F.C, 1987, Chaotic Vibrations
[7]  
*OFF HIGHW INF MAN, 1995, TRAFF MON GUID
[8]  
SANFORD KL, 1994, THESIS CARNEGIE MELL
[9]  
VOHRA ST, 1998, FIBER OPTIC SENSORS, P148