CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Stochastic Finite Element Model Updating by Bootstrapping

Vahid Yaghoubi (Institutionen för tillämpad mekanik, Dynamik) ; Majid Khorsand Vakilzadeh (Institutionen för tillämpad mekanik, Dynamik ; Svenskt VindkraftsTekniskt Centrum (SWPTC)) ; Anders T Johansson (Institutionen för tillämpad mekanik, Dynamik) ; Thomas Abrahamsson (Institutionen för tillämpad mekanik, Dynamik)
Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016 p. 117-130. (2016)
[Konferensbidrag, övrigt]

This paper presents a new stochastic finite element model calibration framework for estimation of the uncertainty in model parameters, which combines the principles of bootstrapping with the technique of FE model calibration with damping equalization. The bootstrapping allows to quantify the uncertainty bounds on the model parameters by constructing a number of resamples, with replacement, of the experimental data and solving the FE model calibration problem on the resampled datasets. To a great extent, the success of the calibration problem depends on the starting value for the parameters. The formulation of FE model calibration with damping equalization gives a smooth metric with a large radius of convergence to the global minimum and its solution can be viewed as the initial estimate for the model parameters. In this study, practical suggestions are made to improve the performance of this algorithm in dealing with noisy measurements. The performance of the proposed stochastic calibration algorithm is illustrated using simulated data for a six degree-of-freedom mass-spring model.



Denna post skapades 2016-07-05. Senast ändrad 2016-08-07.
CPL Pubid: 239006

 

Institutioner (Chalmers)

Institutionen för tillämpad mekanik, Dynamik
Svenskt VindkraftsTekniskt Centrum (SWPTC)

Ämnesområden

Teknisk mekanik

Chalmers infrastruktur