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| HAL: hal-00169555, version 2 |
| DOI: 10.1016/j.cma.2007.08.011 |
| Detailed view |  Export this paper |
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| Computer Methods in Applied Mechanics and Engineering 197 (2008) 589-608 |
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| Available versions: | v1 (2007-09-18) | v2 (2008-08-09) |
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| Identification of non-parametric probabilistic models from measured transfer functions |
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| M. Arnst 1D. Clouteau 1 |
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| (2008) |
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| This paper addresses the inversion of probabilistic models for the dynamical behaviour of structures using experimental data sets of measured frequency-domain transfer functions. The inversion is formulated as the minimization, with respect to the unknown parameters to be identified, of an objective function that measures a distance between the data and the model. Two such distances are proposed, based on either the loglikelihood function, or the relative entropy. As a comprehensive example, a probabilistic model for the dynamical behaviour of a slender beam is inverted using simulated data. The methodology is then applied to a civil and environmental engineering case history involving the identification of a probabilistic model for ground-borne vibrations from real experimental data. |
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| 1: | Laboratoire de mécanique des sols, structures et matériaux (MSSMat) |
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CNRS : UMR8579 – Ecole Centrale Paris |
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| 2: | Laboratoire de mécanique des solides (LMS) |
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CNRS : UMR7649 – Polytechnique - X – Mines ParisTech |
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| Subject | : | Physics/Mechanics/Mechanics of the solides Engineering Sciences/Mechanics/Mechanics of the solides |
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| hal-00169555, version 2 | |
| http://hal.archives-ouvertes.fr/hal-00169555 | |
| oai:hal.archives-ouvertes.fr:hal-00169555 | |
| From: Marc Bonnet | |
| Submitted on: Saturday, 9 August 2008 00:46:00 | |
| Updated on: Saturday, 9 August 2008 06:45:38 | |
