Structural health monitoring (SHM) is a promising field with widespread application in civil engineering. Structural health monitoring has the potential to make structures safer by observing both long-term structural changes and immediate postdisaster damage. However, the many SHM studies in the literature apply different monitoring methods to different structures, making side-by-side comparison of the methods difficult. This paper details the first phase in a benchmark SHM problem organized under the auspices of the IASC–ASCE Structural Health Monitoring Task Group. The scale-model structure adopted for use in this benchmark problem is described. Then, two analytical models based on the structure—one a 12 degree of freedom (DOF) shear-building model, the other a 120-DOF model, both finite element based—are given. The damage patterns to be identified are listed as well as the types and number of sensors, magnitude of sensor noise, and so forth. MATLAB computer codes to generate the response data for the various cases are explained. The codes, as well as details of the ongoing Task Group activities, are available on the Task Group web site at 〈http://wusceel.cive.wustl.edu/asce.shm/〉.
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Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data
Natural Excitation Technique and Eigensystem Realization Algorithm for Phase I of the IASC-ASCE Benchmark Problem: Simulated Data
Application of a Statistical Model Updating Approach on Phase I of the IASC-ASCE Structural Health Monitoring Benchmark Study
Assistant Professor, Dept. of Civil Engineering, Univ. of Southern California, Los Angeles, CA 90089 (corresponding author).
Lecturer, Dept. Building and Construction, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong.
Associate Professor, Dept. Civil Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
Professor, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Received: October 18, 2002
Accepted: March 25, 2003
Published online: December 15, 2003
Copyright © 2004 American Society of Civil Engineers