Uncertainty Quantification using Maximum Likelihood: Experimental Validation

Fonseca, J. R., Friswell, M. I., Mottershead, J. E., Lees, A. W., and Adhikari, S.,
46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, Austin, Texas, USA, April 2005.

Parameter uncertainty is extensively used to analyze the robustness and reliability of a structure. However this analysis requires the specification of the uncertainty, and for many parameters this is not an easy quantity to estimate. This paper uses a maximum likelihood approach, combined with either a perturbation or Monte Carlo method for the forward propagation of uncertainty, to estimate the parameter mean and variance. The method is demonstrated on two experimental examples, namely cantilever and free-free beams with a moving mass.

BiBTeX Entry
@INPROCEEDINGS{cp17,
    AUTHOR={Jos\'{e} R. Fonseca and Michael I. Friswell and John E. Mottershead and Arthur W. Lees and Sondipon Adhikari},
    TITLE={Uncertainty quantification using maximum likelihood: experimental validation},
    BOOKTITLE={46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics \& Materials Conference},
    YEAR={2005},
    Address={Austin, Texas, USA},
    Month={April},
    Note={}
}
by Sondipon Adhikari