Substructure damage identification using damage tracking technique

Jann N. Yang; Hongwei Huang

doi:10.1117/12.714398

18 April 2007 Substructure damage identification using damage tracking technique

Jann N. Yang, Hongwei Huang

Proceedings Volume 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007; 65292R (2007) https://doi.org/10.1117/12.714398
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

A challenging problem in structural damage detection based on vibration data is the requirement of a large number of sensors and the numerical difficulty in obtaining reasonably accurate results when the system is large. To address this issue, the substructure identification approach may be used. Due to practical limitations, the response data are not available at all degrees of freedom of the structure and the external excitations may not be measured (or available). In this paper, an adaptive damage tracking technique, referred to as the sequential nonlinear least-square estimation with unknown inputs and unknown outputs (SNLSE-UI-UO) along with the sub-structure approach will be used to identify damages at critical locations (hot spots) of the complex structure. In our approach, only a limited number of response data are needed and the external excitations may not be measured, thus significantly reducing the number of sensors required and computational efforts. The accuracy of the proposed approach is illustrated using a long-span truss with finite-element formulation. Simulation results demonstrate that the proposed approach is capable of tracking the local damages and it is suitable for local structural health monitoring.

Citation Download Citation

Jann N. Yang and Hongwei Huang "Substructure damage identification using damage tracking technique", Proc. SPIE 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 65292R (18 April 2007); https://doi.org/10.1117/12.714398

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