Solvers

SweepX

SweepX{O} is a non-linear solver for differential equations of order O in time. This can be used for static and quasi static problems without hysterertic behaviour (plasticity, friction).

SweepX{1} is an implicit-Euler solver for differential equations of order 1 in time. This must be used for viscous problems, and for static and quasi static problem with hysteretic behaviour. The reason for this is that Muscade does not allow elements to have element-internal "state" variables (plastic strain, shear-free position for dry friction). Hence, where elements implement such physics, this is done by introducing the "state" as a degree of freedom of the element, and a corresponding equation. This equation is the equation of evolution of the "state" variable, which involves the first order derivative of the variable in question even in a static problem.

SweepX{2} is a Newmark-β solver for differential equations of order 2 in time. A typical application is in structural dynamics.

SweepX solves forward FEM problems (not optimisation-FEM) (see Theory). However, SweepX can be applied to models that have $U$- and $A$-dofs. This is handled as follows: One input to SweepX is a State, which can come from initialize! or from the output of another solver. SweepX will keep the $U$- and $A$-dofs to the value in the input State. initialize! sets all dofs to zero, so when SweepX is given a State produced by initialize! the analysis starts with $X$-dofs equal to zero, and $U$- and $A$-dofs are kept zero throughout the analysis.

SweepX handles inequality constraints (for example defined with the built-in DofConstraint element) using a simplified interior point method.

See the reference manual SweepX.

DirectXUA

DirectXUA is a solver for non-linear, static (OX=0), first order (OX=1) or dynamic (OX=2), optimisation-FEM problems. The same remarks on "state" variables and the choice of OX as for SweepX apply here.

DirectXUA is designed for load and model parameter identification. Given a model with costs (and possibly constraints) on U- and $A$-dofs, the solver will determine response ($X$-dofs) and unknown loads for each step ($U$-dofs). If (IA=1), the algorithm will also estimate model parameters for the whole history ($A$-dofs).

OU specifies the order of the derivatives of $U$-dofs that appear in the target function. For example, if OU=0, then costs should only be associated to the value of unknown external loads: the prior information on the unknown load process is that it is a white noise process. OU≥1 allows to provide prior information in the form of colored processes.

See the reference manual DirectXUA.