Natural Excitation Technique and Eigensystem Realization Algorithm for Phase I of the IASC-ASCE Benchmark Problem: Simulated Data

Author:

Caicedo Juan Martin1,Dyke Shirley J.2,Johnson Erik A.3

Affiliation:

1. Postdoctoral Research Assistant, Dept. of Civil Engineering, Washington Univ., St. Louis, MO 63130; formerly, Doctoral Candidate.

2. Professor, Dept. of Civil Engineering, Washington Univ., St. Louis, MO 63130 (corresponding author).

3. Assistant Professor, Dept. of Civil Engineering, Univ. of Southern California, Los Angeles, CA 90089.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Reference21 articles.

1. Antoniou A. (1993). Digital filters: Analysis design and applications McGraw-Hill New York.

2. Beck J. L. May B. S. and Polidori D. C. (1994a). “Determination of stiffness changes from model parameter changes for structural health monitoring.” Proc. 1st World Conf. on Structural Control Pasadena Calif. 13–22.

3. Beck J. L. Vanik M. W. and Katafygiotis L. S. (1994b). “Determination of model parameters from ambient vibration data for structural health monitoring.” Proc. 1st World Conf. on Structural Control Pasadena Calif. 3–12.

4. Beck J. L. Vanik M. W. Polidori D. C. and May B. S. (1998). “Structural health monitoring using ambient vibrations.” Proc. Structural Engineers World Congress San Francisco.

5. Bendat J. S. and Piersol A. G. (2000). Random data: Analysis and measurement procedures Wiley New York.

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