Experimental Validation of Damage Detection based on Member Axial-strain Mode Shapes for Truss Structures

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Authors

  • Guirong Yan Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA Author
  • Shirley J. Dyke Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA Author
  • Ayhan Irfanoglu Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA Author

DOI:

https://doi.org/10.5890/JVTSD.2018.12.005

Abstract

In this study, a simple, effective damage detection approach is proposed for truss structures to locate damage onto exact member(s) using vibration responses. First, a parameter that reflects the axial strain in truss members and is sensitive to local damage is proposed. This parameter is called the member axial-strain mode shape and can be extracted from the translational mode shapes. Each component in an member axial-strain mode shape is associated with a member, reflecting the axial strain in that member. Because damage to a member directly affects the axial strain in that member, the proposed member axial-strain mode shape is an effective parameter for evaluating the condition of truss members. Second, a damage indicator constructed by both member axial- strain mode shapes and natural frequencies are proposed. Experimental tests are conducted on a full-scale sign support truss to demonstrate the effectiveness of the proposed approach. The results illustrate that the proposed approach can be applied to truss structures instrumented with a few accelerometers and using only response data.

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PublishedDecember 2018

Usage tracking begins September 1, 2026.

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How to Cite

Yan, G., Dyke, S. J., & Irfanoglu, A. (2026). Experimental Validation of Damage Detection based on Member Axial-strain Mode Shapes for Truss Structures. Journal of Vibration Testing and System Dynamics, 2(4), 403-416. https://doi.org/10.5890/JVTSD.2018.12.005