Assessment of Bridge Expansion Joints Using Long-Term Displacement and Temperature Measurement

A procedure for assessment of bridge expansion joints making use of long-term monitoring data is presented in this paper. Based on the measurement data of expansion joint displacement and bridge temperature, the normal correlation pattern between the effective temperature and thermal movement is first established. Alarms will be raised if a future pattern deviates from this normal pattern. With the established correlation pattern, the expansion joint displacements under the design maximum and minimum temperatures are predicted and compared with the design allowable values for validation. The extreme temperatures for a certain return period are also derived using the measurement data for design verification. Then the annual or daily-average cumulative movements experienced by expansion joints are estimated from the monitoring data for comparison with the expected values in design. Because the service life and interval for replacement of expansion joints rely to a great extent on the cumulative displacements, an accurate prediction of the cumulative displacements will provide a robust basis for determining a reasonable interval for inspection or replacement of expansion joints. The proposed procedure is applied to the assessment of expansion joints in the cable-stayed Ting Kau Bridge with the use of one-year monitoring data.

[1]  Kai-Yuen Wong,et al.  Instrumentation and health monitoring of cable‐supported bridges , 2004 .

[2]  Aftab A. Mufti,et al.  Structural Health Monitoring of Innovative Canadian Civil Engineering Structures , 2002 .

[3]  Jay A. Puckett,et al.  Design of Highway Bridges , 2006 .

[4]  Mo Shing Cheung,et al.  FIELD MONITORING AND RESEARCH ON PERFORMANCE OF THE CONFEDERATION BRIDGE , 1997 .

[5]  Dongning Li,et al.  Thermal design criteria for deep prestressed concrete girders based on data from Confederation Bridge , 2004 .

[6]  Walter H. Dilger,et al.  Extreme values of thermal loading parameters in concrete bridges , 1992 .

[7]  John T. DeWolf,et al.  Effect of Differential Temperature on a Curved Post-Tensioned Concrete Bridge , 2004 .

[8]  Enrique Castillo Extreme value theory in engineering , 1988 .

[9]  Ahmad Husseini,et al.  Canadian standards association , 1993 .

[10]  A. Emin Aktan,et al.  Instrumented monitoring of the Commodore Barry Bridge , 2000, Smart Structures.

[11]  E. Castillo Extreme value and related models with applications in engineering and science , 2005 .

[12]  N. T. Kottegoda,et al.  Probability, Statistics, and Reliability for Civil and Environmental Engineers , 1997 .

[13]  Yi-Qing Ni,et al.  Technology developments in structural health monitoring of large-scale bridges , 2005 .

[14]  Darryll J. Pines,et al.  Status of structural health monitoring of long-span bridges in the United States , 2002 .

[15]  Takuji Okamoto,et al.  Long span bridge health monitoring system in Japan , 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[16]  A. Emin Aktan,et al.  Health monitoring for effective management of infrastructure , 2002, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.