Long-term monitoring and data analysis of the Tamar Bridge

被引:321
作者
Cross, E. J. [1 ]
Koo, K. Y. [2 ]
Brownjohn, J. M. W. [2 ]
Worden, K. [1 ]
机构
[1] Univ Sheffield, Dept Mech Engn, Dynam Res Grp, Sheffield S1 3JD, S Yorkshire, England
[2] Univ Sheffield, Dept Civil & Struct Engn, Vibrat Engn Sect, Sheffield S1 3JD, S Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Long term monitoring; Tamar Bridge; MODAL PROPERTIES; VARIABILITY; DAMAGE; IDENTIFICATION;
D O I
10.1016/j.ymssp.2012.08.026
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A sound understanding of a structure's normal condition, including its response to normal environmental and operational variations is desirable for structural health monitoring and necessary for performance monitoring of civil structures. The current paper outlines the extensive monitoring campaign of the Tamar Suspension Bridge as well as analysis carried out in an attempt to understand the bridge's normal condition. Specifically the effects of temperature, traffic loading and wind speed on the structure's dynamic response are investigated. Finally, initial steps towards the development of a structural health monitoring system for the Tamar Bridge are addressed. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:16 / 34
页数:19
相关论文
共 20 条
[1]   Effects of testing, analysis, damage, and environment on modal parameters [J].
Alampalli, S .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2000, 14 (01) :63-74
[2]   ON THE EXPERIMENTAL ATTAINMENT OF OPTIMUM CONDITIONS [J].
BOX, GEP ;
WILSON, KB .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1951, 13 (01) :1-45
[3]  
Box GEP, 1986, Empirical Model-Building and Response Surface
[4]   Environmental variability of modal properties [J].
Cornwell, P ;
Farrar, CR ;
Doebling, SW ;
Sohn, H .
EXPERIMENTAL TECHNIQUES, 1999, 23 (06) :45-48
[5]   An introduction to structural health monitoring [J].
Farrar, Charles R. ;
Worden, Keith .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2007, 365 (1851) :303-315
[6]  
Kim C.Y., 2003, EARTHQ ENG ENG VIB, V2, P109, DOI [10.1007/BF02857543, DOI 10.1007/BF02857543]
[7]  
Kleinbaum D, 2007, APPL REGRESSION ANAL
[8]   Sensor validation using minimum mean square error estimation [J].
Kullaa, Jyrki .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2010, 24 (05) :1444-1457
[9]   Generalization Capability of Neural Network Models for Temperature-Frequency Correlation Using Monitoring Data [J].
Ni, Y. Q. ;
Zhou, H. F. ;
Ko, J. M. .
JOURNAL OF STRUCTURAL ENGINEERING, 2009, 135 (10) :1290-1300
[10]   Correlating modal properties with temperature using long-term monitoring data and support vector machine technique [J].
Ni, YQ ;
Hua, XG ;
Fan, KQ ;
Ko, JM .
ENGINEERING STRUCTURES, 2005, 27 (12) :1762-1773