Implementation of thermal pressurisation #28
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…ressurisation scheme
The time series/snapshot output contained multiple columns with the same name
This reverts commit 872ad9a.
martijnende
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Aug 21, 2019
* New feature: LVFZ in FINITE=1 loading conditions (#26) 1D faults with a low-velocity fault zone are now available for FINITE=1 loading conditions (See documentation). * New feature: Implementation of thermal pressurisation (#28) An improved implementation for high-velocity thermal pressurisation, based on Noda & Lapusta (2010). The diffusion of fluid and heat normal to the fault plane is solved in a discretised spectral domain, which is numerically stable for large time steps (as opposed to discretisation methods in the spatial domain, such as FEM, FD, etc.). This procedure allows for efficient modelling of frictional heating and associated pressurisation of the pore fluid. This module is compatible with both the rate-and-state friction and the Chen-Niemeijer-Spiers (CNS) frameworks. When the CNS model is used, dilatancy hardening is accounted for through a dilatancy efficiency coefficient (set to 0 to ignore dilatancy hardening). * Bug fig: Fixed a small bug in `pyqdyn.py` in which multiple columns in the time series/snapshots output were named identically.
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An improved implementation for high-velocity thermal pressurisation, based on Noda & Lapusta (2010). The diffusion of fluid and heat normal to the fault plane is solved in a discretised spectral domain, which is numerically stable for large time steps (as opposed to discretisation methods in the spatial domain, such as FEM, FD, etc.). This procedure allows for efficient modelling of frictional heating and associated pressurisation of the pore fluid.
This module is compatible with both the rate-and-state friction and the Chen-Niemeijer-Spiers (CNS) frameworks. When the CNS model is used, dilatancy hardening is accounted for through a dilatancy efficiency coefficient (set to 0 to ignore dilatancy hardening).
Fixed a small bug in
pyqdyn.pyin which multiple columns in the time series/snapshots output were named identically.