Hi Radko,

On 12/26/2016 02:50 PM, Radko Bankras wrote:
> Hi,
>
> The following code is used in example
> linear_elasticity/material_nonlinearity.py to evaluate the Cauchy strain
> during post processing:
>
> strain = problem.evaluate('ev_cauchy_strain.i.Omega(u)', mode='el_avg')
> out['cauchy_strain'] = Struct(name='output_data', mode='cell', data=strain, dofs=None)
>
>
> Using ParaView to visualize the result on a tetrahedral mesh from VTK
> output, I find the strain to have 8 decomposition components with arbitrary
> names 1 through 8.
> Is it possible to obtain the strain as a vector in Cartesian components?

what do you mean by "as a vector"? The strain is a tensor (let's say e) with 9
components in 3D. The components you see in paraview are e_11, e_12, e_13,
e_21, e_22, e_23, e_31, e_32, e_33, starting from 0.