Thermal Conductivity of Rocks and Minerals
By C. Clauser, E. Huenges. 2013
939 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/3b3fb9a1a796da99ef0434b1abf4adad5ca81d3d
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Citations in the corpus
- Numerical modelling of spontaneous slab breakoff and subsequent topographic response (2011, background): “Temperature dependent thermal conductivity k is documented in (Clauser and Huenges, 1995).”
- Temperature dependence of thermal diffusivity, specific heat capacity, and thermal conductivity for several types of rocks (2014, neutral): “83 for biotite [30], 2.”
- Thermal Properties of Rocks and Density of Fluids (2014, background): “…differently, at low and moderate temperatures (up to 573–773 K) the value of heat conductivity varies proportionally with the reciprocal of the temperature (Lubimova 1968b; Clauser and Huenges 1995, amongst others), but the actual relationships between these two parameters are more complicated.”
- Temperature, lithosphere‐asthenosphere boundary, and heat flux beneath the Antarctic Plate inferred from seismic velocities (2015, background): “[Clauser and Huenges, 1995;Whittington et al., 2009] and upper mantle (olivine, wadsleyite, and ringwoodite)”
- Three-dimensional thermomechanical modeling of oceanic spreading initiation and evolution (2013, neutral): “…is the temperature ( C) k is the thermal conductivity of dry rocks (W/m/K) [k = 0.73 + 1293/(T + 77) for the mantle and k = 1.18 + 474/(T + 77) for the crust (Clauser and Huenges, 1995)], k0 = 3 W/m/K is the reference thermal conductivity, Nu = 2–4 is the assumed Nusselt number for the…”
- Effective Thermal Conductivity Modeling of Sandstones: SVM Framework Analysis (2016, methodology): “For curve fitting of experimental ETC data of porous rocks, several types of functions have been employed by some researchers [37,38].”
- Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model (2011, methodology): “For CLM4, the lake and wetland distributions revert back to those used in CLM3 (Cogley 1991), except that the threshold area fraction that is used to determine whether or not a lake, wetland, or glacier surface type is represented in a particular grid cell is reduced from 5% to 1%.”