Elastic wave propagation in anisotropic polycrystals: inferring physical properties of glacier ice
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Elastic wave propagation in anisotropic polycrystals : inferring physical properties of glacier ice. / Rathmann, Nicholas M. M.; Grinsted, Aslak; Mosegaard, Klaus; Lilien, David A. A.; Westhoff, Julien; Hvidberg, Christine S. S.; Prior, David J. J.; Lutz, Franz; Thomas, Rilee E. E.; Dahl-Jensen, Dorthe.
In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 478, No. 2268, 20220574, 21.12.2022.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Elastic wave propagation in anisotropic polycrystals
T2 - inferring physical properties of glacier ice
AU - Rathmann, Nicholas M. M.
AU - Grinsted, Aslak
AU - Mosegaard, Klaus
AU - Lilien, David A. A.
AU - Westhoff, Julien
AU - Hvidberg, Christine S. S.
AU - Prior, David J. J.
AU - Lutz, Franz
AU - Thomas, Rilee E. E.
AU - Dahl-Jensen, Dorthe
PY - 2022/12/21
Y1 - 2022/12/21
N2 - An optimization problem is proposed for inferring physical properties of polycrystals given ultrasonic (elastic) wave velocity measurements, made across multiple sample orientations. The feasibility of the method is demonstrated by inferring both the effective grain elastic parameters and the grain c-axis orientation distribution function (ODF) of ice-core samples from Priestley glacier, Antarctica. The method relies on expanding the ODF in terms of a spherical harmonic series, which allows for a non-parametric estimation of the sample ODF. Moreover, any linear combination of the Voigt (strain) and Reuss (stress) homogenization scheme is allowed, although for glacier ice, the exact choice is found to matter little for bulk elastic behaviour, and thus for inferred physical properties, too. Finally, the accuracy of the inferred grain elastic parameters is discussed, including the well-posedness and shortcomings of the inverse problem, relevant for future adoptions in glaciology, geology and elsewhere.
AB - An optimization problem is proposed for inferring physical properties of polycrystals given ultrasonic (elastic) wave velocity measurements, made across multiple sample orientations. The feasibility of the method is demonstrated by inferring both the effective grain elastic parameters and the grain c-axis orientation distribution function (ODF) of ice-core samples from Priestley glacier, Antarctica. The method relies on expanding the ODF in terms of a spherical harmonic series, which allows for a non-parametric estimation of the sample ODF. Moreover, any linear combination of the Voigt (strain) and Reuss (stress) homogenization scheme is allowed, although for glacier ice, the exact choice is found to matter little for bulk elastic behaviour, and thus for inferred physical properties, too. Finally, the accuracy of the inferred grain elastic parameters is discussed, including the well-posedness and shortcomings of the inverse problem, relevant for future adoptions in glaciology, geology and elsewhere.
KW - elastic wave propagation
KW - polycrystals
KW - composites
KW - effective properties
KW - ice
KW - CRYSTALLOGRAPHIC PREFERRED ORIENTATIONS
KW - GRAIN-BOUNDARY COMPLIANCE
KW - SEISMIC ANISOTROPY
KW - CRYSTAL-ORIENTATION
KW - WEST ANTARCTICA
KW - UPPER-MANTLE
KW - SINGLE-CRYSTALS
KW - SHEAR MARGIN
KW - VELOCITY
KW - TEXTURE
U2 - 10.1098/rspa.2022.0574
DO - 10.1098/rspa.2022.0574
M3 - Journal article
VL - 478
JO - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
JF - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
SN - 1364-5021
IS - 2268
M1 - 20220574
ER -
ID: 329224380