1. Dual-Stiffness Sensor for Damage Detection, Localization, and Prognostics
- Author
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Abhijit Dasgupta, Darryll J. Pines, Kelah Wakha, and Majeed A. Majed
- Subjects
business.industry ,Aerospace Engineering ,Micromechanics ,Stiffness ,Structural engineering ,Finite element method ,Catastrophic failure ,medicine ,Prognostics ,medicine.symptom ,business ,Material properties ,Algorithm ,Strain gauge ,Energy (signal processing) ,Mathematics - Abstract
The concept of a dual stiffness sensor that measures material degradation at the micromechanics scale and introduces damage variables to reflect average material degradation at a macromechanics scale is developed. The idea of a mechanical multifunctional dual stiffness sensor for in situ real-time stiffness and energy density measurements is motivated by Eshelby’s equivalent inclusion theorem. A complete analytical derivation is presented and the use of a dual stiffness/energy sensor to diagnose damage and to determine the remaining life of structures is evaluated. A numerical verification using finite element analysis is presented, and the results indicate that the sensor can be used for diagnostics and prognostics of structures. A distributed array of sensors is used to determine the onset and location of damage. Experimental results presented for uniaxial experimental tests under monotonic quasi-static loading conditions indicate that the concept can easily be implemented. For a sensor pair of known geometry and material properties, the Eshelby tensors are independent of the host: A methodology was thus developed to detect material properties of different hosts and was used to predict accurately elastic material properties of diverse materials.
- Published
- 2005
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