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Bayesian approaches for identification of the complex modulus of viscoelastic materials
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2007 (English)In: Automatica, ISSN 0005-1098, Vol. 43, no 8, 1369-1376 p.Article in journal (Refereed) Published
Abstract [en]

Frequency domain identification of the complex Young's modulus of a viscoelastic solid from wave propagation experiment data is considered in this paper. The conventional techniques use a non-parametric approach, where the estimate at a particular frequency is independent of the estimate at another frequency. Here we show that the estimation accuracy can be improved significantly by taking the continuity of the complex modulus into account. In particular, we propose Bayesian estimation approaches to impose the continuity property. The estimation algorithms are computationally efficient. The analytical claims are also substantiated in experimental studies.

Place, publisher, year, edition, pages
2007. Vol. 43, no 8, 1369-1376 p.
Keyword [en]
Estimation, Viscoelasticity, Complex modulus, Bayesian recursion, Maximum a posteriori estimation, Continuity
National Category
Computer and Information Science
URN: urn:nbn:se:uu:diva-13128DOI: 10.1016/j.automatica.2007.01.009ISI: 000248631500007OAI: oai:DiVA.org:uu-13128DiVA: diva2:40898
Available from: 2008-01-21 Created: 2008-01-21 Last updated: 2011-01-21Bibliographically approved

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