use finite difference and central differences to solve plate deflection in matlab

To solve plate deflection using finite difference and central differences in MATLAB, you first need to discretize the plate into a grid of points. Then, you can apply the finite difference method to approximate the deflection at each grid point.

Here is a simple implementation using the central difference method for the second derivative (to approximate the deflection) in MATLAB:

main.m
% Plate dimensions
Lx = 10; % length in x-direction
Ly = 10; % length in y-direction

% Number of grid points
nx = 100; % number of points in x-direction
ny = 100; % number of points in y-direction

% Grid spacing
dx = Lx / (nx - 1);
dy = Ly / (ny - 1);

% Generate grid
x = linspace(0, Lx, nx);
y = linspace(0, Ly, ny);
[X, Y] = meshgrid(x, y);

% Plate properties
E = 1; % Young's modulus
h = 1; % thickness

% Apply external load (just an example)
q = 1; % load per unit area

% Discretize plate equation using central differences
K = (E * h^3 / (12 * (1 - 0.3^2))) * ((dx^2 * dy^2) / (dx^2 + dy^2));
D = zeros(nx, ny);

for i = 2:nx-1
    for j = 2:ny-1
        D(i, j) = K * (X(i+1, j) - 2*X(i, j) + X(i-1, j)) / dx^2 + K * (Y(i, j+1) - 2*Y(i, j) + Y(i, j-1)) / dy^2 + q;
    end
end

% Solve for deflection
U = D;

% Plot the deflected shape
figure;
surf(X, Y, U)
xlabel('x')
ylabel('y')
zlabel('Deflection')
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In this code snippet, we first define the plate dimensions, grid points, grid spacing, and plate properties. Then, we discretize the plate equation using the central difference method and solve for the deflection. Finally, we plot the deflected shape using surf.

Please note that this is a simple example and may need further adjustments based on the specific problem you are trying to solve.

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