Approach to Reduce the Limitations of Modal Identification in Damage Detection Using Limited Field Data for Nondestructive Structural Health Monitoring of a Cable-Stayed Concrete Bridge

Author:

Ismail Z.1,Ibrahim Z.2,Ong A. Z. C.3,Rahman A. G. A.4

Affiliation:

1. Associate Professor, Civil Engineering Dept., Univ. of Malaya, 50603 Kuala Lumpur, Malaysia (corresponding author).

2. Senior Lecturer, Civil Engineering Dept., Univ. of Malaya, 50603 Kuala Lumpur, Malaysia.

3. Graduate Student, Mechanical Engineering Dept., Univ. of Malaya, 50603 Kuala Lumpur, Malaysia.

4. Professor, Mechanical Engineering Dept., Univ. Malaysia Pahang, 26300 Kuantan, Malaysia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Reference36 articles.

1. Cusson D. Lounis Z. and Daigle L. (2010). “Improving performance prediction of corroding concrete bridges with field monitoring.” Proc. 6th Int. Conf. on Concrete under Severe Conditions: Environment and Loading CRC Press Boca Raton FL 145–158.

2. Dulieu-Smith J. M. Staszewski W. J. and Worden K. (1997). “Structural damage assessment using advanced signal processing procedures.” Proc. Int. Workshop on Structural Damage Assessment Using Advanced Signal Processing Procedures DAMAS ‘97 Sheffield Academic Press Sheffield U.K.

3. Farrar C. R. and Doebling S. W. (1997). “An overview of modal-based damage identification methods.” Proc. Int. Workshop on Structural Damage Assessment Using Advanced Signal Processing Procedures DAMAS ‘97 Sheffield Academic Press Sheffield U.K.

4. Experimental validation of the higher-order derivative discontinuity method for damage identification

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