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**Harvard**

Rahrovani, S. och Abrahamsson, T. (2013) *A new parameter perturbation method suitable for reliability analysis of large dynamic systems*.

** BibTeX **

@conference{

Rahrovani2013,

author={Rahrovani, Sadegh and Abrahamsson, Thomas},

title={A new parameter perturbation method suitable for reliability analysis of large dynamic systems},

booktitle={Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013},

isbn={978-113800086-5},

pages={5343-5349},

abstract={To decrease the computational efforts needed for reliability analysis of large-scale finite element (FE) models, fast simulation is a necessity. To achieve this, model reduction approach offers a systematic way to capture the main input-output behaviour of the original dynamic model with a simpler one. However to be useful for reliability analysis, the approximant must provide a good accuracy for a range of stochastic parameters variation. This problem is addressed by introducing a reduced modal basis based on a reference Linear Time Invariant (LTI) FE model.Amethod is employed that uses an iterative algorithm to obtain perturbed solutions that are due to the effects of parameter variation. The main idea is to iteratively approximate the perturbed solution in the space spanned by reduced basis. This technique is used to develop an adaptive reliability method. In a numerical example, this approach is applied to a railway track problem.},

year={2013},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 193513

A1 Rahrovani, Sadegh

A1 Abrahamsson, Thomas

T1 A new parameter perturbation method suitable for reliability analysis of large dynamic systems

YR 2013

T2 Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

SN 978-113800086-5

SP 5343

OP 5349

AB To decrease the computational efforts needed for reliability analysis of large-scale finite element (FE) models, fast simulation is a necessity. To achieve this, model reduction approach offers a systematic way to capture the main input-output behaviour of the original dynamic model with a simpler one. However to be useful for reliability analysis, the approximant must provide a good accuracy for a range of stochastic parameters variation. This problem is addressed by introducing a reduced modal basis based on a reference Linear Time Invariant (LTI) FE model.Amethod is employed that uses an iterative algorithm to obtain perturbed solutions that are due to the effects of parameter variation. The main idea is to iteratively approximate the perturbed solution in the space spanned by reduced basis. This technique is used to develop an adaptive reliability method. In a numerical example, this approach is applied to a railway track problem.

LA eng

OL 30