Concatenate x amount of matrices

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I have a FEM problem that i want to solve with a matlab script so that it can be used for future questions. I´m trying to concatenate x number of known 4x4 matrices diagonaly to form a large 2(x+1),2(x+1) matrix. Examples would be one 4x4 matrice into a 4x4 matrice or three 4x4 matrice into a 8x8 matrix. in the end i want it to look like this but on a bigger scale:
A=[k1 -k1;-k1 k1], B=[k2,-k2; -k2 k2] => C=[k1 -k1 0 ; 0 -k1 + k2 k2; 0 -k2 k2]
I have tried to solve this with this code:
K = sym(zeros( 2*(x+1) , 2*(x+1) ) );
for k = 1:x
K(k:2*((k+1)),k:(2*(k+1))) = K( k:(2*(k+1)) , k:(2*(k+1)) )+C{x};
This is part of a script there the user defines the amount of matrices. I made similar loop so i belive its the indexing within the loop that is the problem but dont know how to solve it. Is it possible to solve this problem simply within this loop?
Thanks in advance
Hampus Augustsson
Hampus Augustsson on 13 Aug 2020
Edited: Matt J on 13 Aug 2020
I see. I will attach an image that will hopefully make it more clear. This is what the smaller k1, k2 & k3 looks like and i think i have assembled the K matrix correctly. Sorry of it is unclear, got a bit cramped in the end

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Accepted Answer

David Hill
David Hill on 13 Aug 2020
for i=1:x

More Answers (2)

Matt J
Matt J on 13 Aug 2020

hosein Javan
hosein Javan on 13 Aug 2020
Edited: hosein Javan on 13 Aug 2020
after a few (or maybe a lot!) thinking, I found the pattern. I used symbolic to specify each element by its name rather than value. actually it wasn't really concatenation since every 3 element the matrices overlap and we are taking their sums. it works for any number of "k" matrices which in here you called "x".
In the case of 3 matrices:
k{1} = sym('k1_',4); k{1}
k{2} = sym('k2_',4); k{2}
k{3} = sym('k3_',4); k{3}
x = length(k); % number of "k" matrices
n = 4 + (x-1)*2; % dimension of matrix "K" concatenated(not exactly!)
K = sym(zeros(n)); % initilize "K" by all zeros
for i = 1:x
j = 2*i-1;
K(j:j+3,j:j+3) = K(j:j+3,j:j+3) + k{i};
the result:
k{1} =
[ k1_1_1, k1_1_2, k1_1_3, k1_1_4]
[ k1_2_1, k1_2_2, k1_2_3, k1_2_4]
[ k1_3_1, k1_3_2, k1_3_3, k1_3_4]
[ k1_4_1, k1_4_2, k1_4_3, k1_4_4]
k{2} =
[ k2_1_1, k2_1_2, k2_1_3, k2_1_4]
[ k2_2_1, k2_2_2, k2_2_3, k2_2_4]
[ k2_3_1, k2_3_2, k2_3_3, k2_3_4]
[ k2_4_1, k2_4_2, k2_4_3, k2_4_4]
k{3} =
[ k3_1_1, k3_1_2, k3_1_3, k3_1_4]
[ k3_2_1, k3_2_2, k3_2_3, k3_2_4]
[ k3_3_1, k3_3_2, k3_3_3, k3_3_4]
[ k3_4_1, k3_4_2, k3_4_3, k3_4_4]
K =
[ k1_1_1, k1_1_2, k1_1_3, k1_1_4, 0, 0, 0, 0]
[ k1_2_1, k1_2_2, k1_2_3, k1_2_4, 0, 0, 0, 0]
[ k1_3_1, k1_3_2, k1_3_3 + k2_1_1, k1_3_4 + k2_1_2, k2_1_3, k2_1_4, 0, 0]
[ k1_4_1, k1_4_2, k1_4_3 + k2_2_1, k1_4_4 + k2_2_2, k2_2_3, k2_2_4, 0, 0]
[ 0, 0, k2_3_1, k2_3_2, k2_3_3 + k3_1_1, k2_3_4 + k3_1_2, k3_1_3, k3_1_4]
[ 0, 0, k2_4_1, k2_4_2, k2_4_3 + k3_2_1, k2_4_4 + k3_2_2, k3_2_3, k3_2_4]
[ 0, 0, 0, 0, k3_3_1, k3_3_2, k3_3_3, k3_3_4]
[ 0, 0, 0, 0, k3_4_1, k3_4_2, k3_4_3, k3_4_4]


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