Chen, Hua-Peng (2008) Application of regularization methods to damage detection in large scale plane frame structures using incomplete noisy modal data. Engineering Structures, 30 (11). 3219 - 3227. ISSN 0141-0296 (doi:10.1016/j.engstruct.2008.04.038)

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Abstract

This paper presents an approach for detecting local damage in large scale frame structures by utilizing regularization methods for ill-posed problems. A direct relationship between the change in stiffness caused by local damage and the measured modal data for the damaged structure is developed, based on the perturbation method for structural dynamic systems. Thus, the measured incomplete modal data can be directly adopted in damage identification without requiring model reduction techniques, and common regularization methods could be effectively employed to solve the developed equations. Damage indicators are appropriately chosen to reflect both the location and severity of local damage in individual components of frame structures such as in brace members and at beam-column joints. The Truncated Singular Value Decomposition solution incorporating the Generalized Cross Validation method is introduced to evaluate the damage indicators for the cases when realistic errors exist in modal data measurements. Results for a 16-story building model structure show that structural damage can be correctly identified at detailed level using only limited information on the measured noisy modal data for the damaged structure.

Item Type:	Article
Additional Information:	[1] Available online 10 June 2008.
Uncontrolled Keywords:	damage assessment, frame structure, dynamic modal analysis, incomplete noisy measurements, regularization methods
Subjects:	T Technology > T Technology (General) T Technology > TH Building construction T Technology > TA Engineering (General). Civil engineering (General)
Pre-2014 Departments:	School of Engineering School of Engineering > Department of Civil Engineering
Related URLs:	Publisher Organisation
Last Modified:	27 Jan 2020 12:52
URI:	http://gala.gre.ac.uk/id/eprint/2635

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