Comparison between the basic least squares and the bayesian approach for elastic constants identification

Abstract : The basic formulation of the least squares method, based on the L2 norm of the misfit, is still widely used today for identifying elastic material properties from experimental data. An alternative statistical approach is the Bayesian method. We seek here situations with significant difference between the material properties found by the two methods. For a simple three bar truss example we illustrate three such situations in which the Bayesian approach leads to more accurate results: different magnitude of the measurements, different uncertainty in the measurements and correlation among measurements. When all three effects add up, the Bayesian approach can have a large advantage. We then compared the two methods for identification of elastic constants from plate vibration natural frequencies.
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Submitted on : Wednesday, August 12, 2009 - 3:15:00 PM
Last modification on : Thursday, October 17, 2019 - 12:36:13 PM

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Christian Gogu, Raphael Haftka, Rodolphe Le Riche, Jérôme Molimard, Alain Vautrin, et al.. Comparison between the basic least squares and the bayesian approach for elastic constants identification. Journal of Physics: Conference Series, IOP Publishing, 2008, Vol 135 (N° 1), 8 p. ⟨10.1088/1742-6596/135/1/012045⟩. ⟨hal-00409731⟩

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