Assessment of bridge expansion joints using long-term displacement measurement under changing environmental conditions

被引：36

作者：

Ding Y. ^{[1
]}

Li A. ^{[1
]}

机构：

[1] School of Civil Engineering, Southeast University

来源：

Frontiers of Architecture and Civil Engineering in China | 2011年 / 5卷 / 3期

基金：

中国国家自然科学基金;

关键词：

displacement; expansion joint; statistical process control; structural health monitoring; suspension bridge; temperature effect; traffic loading; wind effect;

D O I：

10.1007/s11709-011-0122-x

中图分类号：

学科分类号：

摘要：

This paper addresses the problem of condition assessment of bridge expansion joints using long-term measurement data under changing environmental conditions. The effects of temperature, traffic loading and wind on the expansion joint displacements are analyzed and interpreted, which reveal that measured displacements are observed to increase with an increase in temperature and to decrease with increased traffic loading, while the correlation between displacement and wind speed is very weak. Two regression models are developed to simulate the varying displacements under the changes in temperature and traffic loadings. Based on these models, the effects of the environmental conditions are removed to obtain the normalized displacement. Statistical process control using mean value control charts is further used to detect damage to the bridge expansion joints. The results reveal that the proposed method had a good capability for detecting the damage-induced 1. 0% variances of the annual changes in the expansion joint displacements. © 2011 Higher Education Press and Springer-Verlag Berlin Heidelberg.

引用

页码：374 / 380

页数：6

共 12 条

[1]

Doebling S.W., Farrar C.R., Prime M.B., A summary review of vibration-based damage identification methods, Shock and Vibration Digest, 30, 2, pp. 91-105, (1998)

[2]

Ko J.M., Ni Y.Q., Technology developments in structural health monitoring of large-scale bridges, Engineering Structures, 27, 12, pp. 1715-1725, (2005)

[3]

Ni Y.Q., Hua X.G., Fan K.Q., Ko J.M., Correlating modal properties with temperature using long-term monitoring data and support vector machine technique, Engineering Structures, 27, 12, pp. 1762-1773, (2005)

[4]

Ding Y.L., Li A.Q., Liu T., Environmental variability study on the measured responses of Runyang Cable-stayed Bridge using wavelet packet analysis, Science in China Series E: Technological Sciences, 51, 5, pp. 517-528, (2008)

[5]

Abdel Wahab M., De Roeck G., Effect of temperature on dynamic system parameters of a highway bridge, Structural Engineering International, 7, 4, pp. 266-270, (1997)

[6]

Cornwell P., Farrar C.R., Doebling S.W., Sohn H., Environmental variability of modal properties, Experimental Techniques, 23, 6, pp. 45-48, (1999)

[7]

Sohn H., Dzwonczyk M., Straser E.G., Kiremidjian A.S., Law K.H., Meng T., An experimental study of temperature effect on modal parameters of the Alamos Canyon Bridge, Earthquake Engineering & Structural Dynamics, 28, 8, pp. 879-897, (1999)

[8]

Hua X.G., Ni Y.Q., Ko J.M., Wong K.Y., Modeling of temperaturefrequency correlation using combined principal component analysis and support vector regression technique, Journal of Computing in Civil Engineering, 21, 2, pp. 122-135, (2007)

[9]

Ni Y.Q., Hua X.G., Wong K.Y., Ko J.M., Assessment of bridge expansion joints using long-term displacement and temperature measurement, Journal of Performance of Constructed Facilities, 21, 2, pp. 143-151, (2007)

[10]

Chen J., Xu Y.L., Zhang R.C., Modal parameters identification of Tsing Ma Suspension Bridge Under Typhoon Victor: EMD-HT method, Journal of Wind Engineering and Industrial Aerodynamics, 92, 10, pp. 805-827, (2004)

← 1 2 →