Dynamic identification of axial force and boundary restraints in tie rods and cables with uncertainty quantification using Set Inversion Via Interval Analysis
| Autor: | Ehab Al-Shaer, Timothy P. Kernicky, Matthew J. Whelan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Acoustics and Ultrasonics
Set inversion business.industry Computer science Mechanical Engineering Structural system Natural frequency 02 engineering and technology Structural engineering Condensed Matter Physics 01 natural sciences Parameter identification problem 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials 0103 physical sciences Measurement uncertainty Structural health monitoring Boundary value problem Uncertainty quantification business 010301 acoustics |
| Zdroj: | Journal of Sound and Vibration. 423:401-420 |
| ISSN: | 0022-460X |
| DOI: | 10.1016/j.jsv.2018.02.062 |
| Popis: | A methodology is developed for the estimation of internal axial force and boundary restraints within in-service, prismatic axial force members of structural systems using interval arithmetic and contractor programming. The determination of the internal axial force and end restraints in tie rods and cables using vibration-based methods has been a long standing problem in the area of structural health monitoring and performance assessment. However, for structural members with low slenderness where the dynamics are significantly affected by the boundary conditions, few existing approaches allow for simultaneous identification of internal axial force and end restraints and none permit for quantifying the uncertainties in the parameter estimates due to measurement uncertainties. This paper proposes a new technique for approaching this challenging inverse problem that leverages the Set Inversion Via Interval Analysis algorithm to solve for the unknown axial forces and end restraints using natural frequency measurements. The framework developed offers the ability to completely enclose the feasible solutions to the parameter identification problem, given specified measurement uncertainties for the natural frequencies. This ability to propagate measurement uncertainty into the parameter space is critical towards quantifying the confidence in the individual parameter estimates to inform decision-making within structural health diagnosis and prognostication applications. The methodology is first verified with simulated data for a case with unknown rotational end restraints and then extended to a case with unknown translational and rotational end restraints. A laboratory experiment is then presented to demonstrate the application of the methodology to an axially loaded rod with progressively increased end restraint at one end. |
| Databáze: | OpenAIRE |
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