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Published January 2004 | public
Journal Article

Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data

Abstract

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 .

Additional Information

©ASCE. The manuscript for this paper was submitted for review and possible publication on October 18, 2002; approved on March 25, 2003. The writers wish to thank the other members of the IASC–ASCE SHM Task Group for their assistance, suggestions, and cooperation in the development of this benchmark problem, particularly: Dionisio Bernal (Northeastern Univ.), Raimondo Betti (Columbia Univ.), Joel P. Conte (UCSD), Shirley J. Dyke (Wash. Univ. St. Louis), Sami F. Masri (Univ. of Southern California), Andrew Smyth (Columbia Univ.), and Carlos E. Ventura (Univ. of British Columbia). Thanks especially go to Professor Ventura for the photograph and the properties of the UBC frame, and to Professor Conte for assistance in calibrating the finite element models described herein. The writers also gratefully acknowledge the partial support of this research by the National Science Foundation under CAREER Grant No. CMS 00-94030, and partial travel support of the Task Group by the ASCE Engineering Mechanics Division.

Additional details

Created:
August 22, 2023
Modified:
October 18, 2023