Identification of random field models for elastic from spectral analysis of compression wave experiments

Maarten Arnst; Quang Anh Ta; Didier Clouteau; Marc Bonnet

Identification of random field models for elastic from spectral analysis of compression wave experiments

Maarten Arnst
, Quang Anh Ta
, Didier Clouteau
, Marc Bonnet

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper addresses the identification of random field models for elastic material properties of heterogeneous solids. The data used in the inversion are measured frequency-dependent phase velocities of elastic waves travelling through heterogeneous specimens. The unknown field to be identified is parameterized by a small set of dispersion parameters and spatial correlation lengths. A mathematical model of the mechanical behaviour of the specimens is built to predict the measurements. The maximum likelihood principle is then used to set up an optimization problem for the estimation of the parameters of the random field model.

Original language	English
Pages	1685-1700
Number of pages	16
Publication status	Published - 1 Jan 2006
Externally published	Yes
Event	International Conference on Noise and Vibration Engineering 2006, ISMA 2006 - Heverlee, Belgium Duration: 18 Sept 2006 → 20 Sept 2006

Conference

Conference	International Conference on Noise and Vibration Engineering 2006, ISMA 2006
Country/Territory	Belgium
City	Heverlee
Period	18/09/06 → 20/09/06

Cite this

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title = "Identification of random field models for elastic from spectral analysis of compression wave experiments",

abstract = "This paper addresses the identification of random field models for elastic material properties of heterogeneous solids. The data used in the inversion are measured frequency-dependent phase velocities of elastic waves travelling through heterogeneous specimens. The unknown field to be identified is parameterized by a small set of dispersion parameters and spatial correlation lengths. A mathematical model of the mechanical behaviour of the specimens is built to predict the measurements. The maximum likelihood principle is then used to set up an optimization problem for the estimation of the parameters of the random field model.",

author = "Maarten Arnst and Ta, \{Quang Anh\} and Didier Clouteau and Marc Bonnet",

year = "2006",

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AU - Arnst, Maarten

AU - Ta, Quang Anh

AU - Clouteau, Didier

AU - Bonnet, Marc

PY - 2006/1/1

Y1 - 2006/1/1

N2 - This paper addresses the identification of random field models for elastic material properties of heterogeneous solids. The data used in the inversion are measured frequency-dependent phase velocities of elastic waves travelling through heterogeneous specimens. The unknown field to be identified is parameterized by a small set of dispersion parameters and spatial correlation lengths. A mathematical model of the mechanical behaviour of the specimens is built to predict the measurements. The maximum likelihood principle is then used to set up an optimization problem for the estimation of the parameters of the random field model.

AB - This paper addresses the identification of random field models for elastic material properties of heterogeneous solids. The data used in the inversion are measured frequency-dependent phase velocities of elastic waves travelling through heterogeneous specimens. The unknown field to be identified is parameterized by a small set of dispersion parameters and spatial correlation lengths. A mathematical model of the mechanical behaviour of the specimens is built to predict the measurements. The maximum likelihood principle is then used to set up an optimization problem for the estimation of the parameters of the random field model.

UR - https://www.scopus.com/pages/publications/84897101656

M3 - Paper

AN - SCOPUS:84897101656

SP - 1685

EP - 1700

T2 - International Conference on Noise and Vibration Engineering 2006, ISMA 2006

Y2 - 18 September 2006 through 20 September 2006

ER -

Identification of random field models for elastic from spectral analysis of compression wave experiments

Abstract

Conference

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