Mantle Convection and Surface Expressions. Группа авторов
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Название: Mantle Convection and Surface Expressions

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Физика

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isbn: 9781119528593

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СКАЧАТЬ correlations and help to reduce uncertainties in computed P‐ and S‐wave velocities by integrating covariances into the propagation of uncertainties.

Graph depicts the variations in P-wave velocities for isotropic polycrystalline aggregates of olivine (1st column), wadsleyite (2nd column), ringwoodite (3rd column), and bridgmanite (4th column) that result from propagating uncertainties on individual finite-strain parameters. Respective parameters and uncertainties are given in each panel. Bold black curves show adiabatic compression paths separated by temperature intervals of 500 K at the lowest pressure for each mineral. Graph depicts the variations in S-wave velocities for isotropic polycrystalline aggregates of olivine (1st column), wadsleyite (2nd column), ringwoodite (3rd column), and bridgmanite (4th column) that result from propagating uncertainties on individual finite-strain parameters. Respective parameters and uncertainties are given in each panel. Bold black curves show adiabatic compression paths separated by temperature intervals of 500 K at the lowest pressure for each mineral.

      Most minerals form solid solutions spanned by two or more end members. When the molar or unit cell volumes Vi of the end members are known, a complex mineral composition given in terms of molar fractions xi of the end members is readily converted to volume fractions vi. Assuming ideal mixing behavior for volumes, the volume of the solid solution is then given by:

equation

      Based on the volume fractions vi = xiVi/V, the elastic properties of end members can then be combined according to one of the averaging schemes introduced in Section 3.2 to approximate the elastic behavior of the solid solution. Mineral‐physical databases compile elastic and thermodynamic properties for many end members of mantle minerals (Holland et al., 2013; Stixrude & Lithgow‐Bertelloni, 2011). However, the physical properties of some critical end members remain unknown, either because they have not been determined at relevant pressures and temperatures or because the end members are not stable as pure compounds.

      Bridgmanite is believed to be the most abundant mineral in the lower mantle and adopts a perovskite crystal structure. Most bridgmanite compositions can be expressed as solid solutions of the end members MgSiO3, FeSiO3, Al2O3, and FeAlO3. Of these end members, only MgSiO3 is known to have a stable perovskite‐structured polymorph at pressures and temperatures of the lower mantle. FeSiO3 perovskite is unstable with respect to the post‐perovskite form of FeSiO3 or a mixture of the oxides FeO and SiO2 (Caracas and Cohen, 2005; Fujino et al., 2009). Al2O3 transforms from corundum to a Rh2O3 (II) structured polymorph instead of adopting a perovskite structure (Funamori and Jeanloz, 1997; Kato et al., 2013; Lin et al., 2004). For FeAlO3, both perovskite and Rh2O3 (II) structures have been proposed (Caracas, 2010; Nagai et al., 2005). Although first‐principle calculations can access the elastic properties of compounds in thermodynamically unstable structural configurations, for example for FeSiO3 and Al2O3 in perovskite structures (Caracas & Cohen, 2005; Muir & Brodholt, 2015a; Stackhouse et al., 2005a, 2006), it is unclear to which extent the results are useful for modeling the elastic properties of complex solid solutions that do not extend towards those end member compositions and might be affected by deviations from ideal mixing behavior at intermediate compositions.

      When the physical properties of end members are unknown, it might still be possible to approximate the elastic properties of a solid solution as long as the effects of different chemical substitutions on elastic properties are captured by available experiments or computations on intermediate compositions of the solid solution. Let xim be the molar fractions of end member i for a set of intermediate compositions for which volumes and elastic properties are known. For each composition m of this set, the molar fractions xim of all end members form a composition vector xm of dimension n equal to the total number of end members. If the set of compositions xm forms a vector basis of n, it is possible to construct a matrix M <span class="dbond"></span> {xim} that contains the vectors xm as columns. Any composition vector x of the solid solution can then be transformed into a vector y by using the inverse matrix: y = M−1x. The components of the vector y express the composition x in terms of molar fractions ym of the intermediate compositions xm. In this way, the compositions xm are combined to match the required composition, and their volumes and elastic properties can be combined according to the mixing laws introduced above. It is important to note that this type of mixing is strictly valid only within the compositional limits defined by the compositions xm that may not cover the full compositional space as spanned by the end members. When volumes can be assumed to mix linearly across the entire solid solution, however, it is possible to extrapolate volumes beyond these compositional limits. The extrapolation of elastic properties requires special caution since negative molar fractions ym < 0 can lead to unwanted effects when computing bounds on elastic moduli.