Comments (4)
[bc.apply(b, dvp_["n"].vector()) for bc in bcs]
This is to make sure that both b
and dvp_["n"].vector()
satisfies the boundary condition before we solve the linear system. After solving the linear system, we add the residual to the dvp_["n"]
dvp_["n"].vector().axpy(lmbda, dvp_res.vector())
However, the residual does not necessary satisfy the boundary condition and thus we need to make sure dvp_["n"]
satisfies the boundary condition after that by calling
[bc.apply(dvp_["n"].vector()) for bc in bcs]
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Ok! That's very clear, thank you.
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testfunction psi phi gamma mean virtual δ(Δd) δ(Δv) δ(Δp)
This part, I do not agree with you. They are test functions associated with the d,v,p itself, not the increments.
For each Newton iteration, we are solving
where A
in turtleFSI), dvp_["n"]
in turtle), and s
is a vector that represents each "Newton step" and the one we are actually solving for (dvp_res
in turtle).
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Dear @keiyamamo
Thank you! I also don't understand why in the newton solver, we need to apply so many times the boundary conditions.
They must have different kinds of functions?
Best regards
ZHANG
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