Block

class plot3d.block.Block(X: ndarray[tuple[Any, ...], dtype[_ScalarT]], Y: ndarray[tuple[Any, ...], dtype[_ScalarT]], Z: ndarray[tuple[Any, ...], dtype[_ScalarT]])

Plot3D Block definition

cell_volumes()

Compute volume of all cells

Returns:

volume of all cells

Return type:

numpy.ndarray

Reference:

Davies, D.E. and Salmond, D.J., “Calculation of the Volume of a General Hexahedron for Flow Predicitons”, AIAA Journal, vol. 23, No. 6, pp. 954-956, June 1985. It is (supposedly) exact for a hexahedral whose faces are bi-linear surfaces (i.e., the simplest surface that can be fit through the four nodes defining the face).

cylindrical()

Converts the block to cylindrical coordinate system. The rotation axis is assumed to be “x” direction

get_faces()

Returns a dictionary of the six faces of the block. Each face is a tuple of (X_face, Y_face, Z_face).

scale(factor: float)

Scales a mesh by a certain factor

Parameters:

factor (float) – _description_

shift(shift_amount: float, direction: str = 'z')

shifts the blocks by a certain amount

Parameters:

• shift_amount (float) – _description_

• direction (str, optional) – _description_. Defaults to “z”.

property size: int

returns the total number of nodes

Returns:

number of nodes

Return type:

int

plot3d.block.reduce_blocks(blocks: List[Block], factor: int)

reduce the blocks by a factor of (factor)

Parameters:

• blocks (List[Block]) – list of blocks to reduce in size

• factor (int, optional) – Number of indicies to skip . Defaults to 2.

Returns:

[description]

Return type:

[type]