Journal article 895 views 264 downloads
Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
M.R. Machado,
S. Adhikari,
J.M.C. Dos Santos,
J.R.F. Arruda,
Sondipon Adhikari
Mechanical Systems and Signal Processing, Volume: 102, Pages: 180 - 197
Swansea University Author: Sondipon Adhikari
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DOI (Published version): 10.1016/j.ymssp.2017.08.039
Abstract
Structural parameter estimation is affected not only by measurement noise but also by unknown uncertainties which are present in the system. Deterministic structural model updating methods minimise the difference between experimentally measured data and computational prediction. Sensitivity-based me...
| Published in: | Mechanical Systems and Signal Processing |
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| ISSN: | 0888-3270 |
| Published: |
2018
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa35620 |
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| Abstract: |
Structural parameter estimation is affected not only by measurement noise but also by unknown uncertainties which are present in the system. Deterministic structural model updating methods minimise the difference between experimentally measured data and computational prediction. Sensitivity-based methods are very efficient in solving structural model updating problems. Material and geometrical parameters of the structure such as Poisson’s ratio, Young’s modulus, mass density, modal damping, etc. are usually considered deterministic and homogeneous. In this paper, the distributed and non-homogeneous characteristics of these parameters are considered in the model updating. The parameters are taken as spatially correlated random fields and are expanded in a spectral Karhunen-Loève (KL) decomposition. Using the KL expansion, the spectral dynamic stiffness matrix of the beam is expanded as a series in terms of discretized parameters, which can be estimated using sensitivity-based model updating techniques. Numerical and experimental tests involving a beam with distributed bending rigidity and mass density are used to verify the proposed method. This extension of standard model updating procedures can enhance the dynamic description of structural dynamic models. |
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| Keywords: |
Parameter estimation; Sensitivity-based model updating; Random field |
| College: |
Faculty of Science and Engineering |
| Start Page: |
180 |
| End Page: |
197 |