Calculation of Deflection of Gradient Pile Using Deflection Equation

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function value = Kstiff_function(ii, interval, ksi, count, EI)
value = zeros(1, count);
% 节点的局部刚度矩阵定义
if (ii == 1)
value(1, 1) = -1 * EI(ii,1) / interval^3;
value(1, 2) = 3 * EI(ii,1) / interval^3;
value(1, 3) = -3 * EI(ii,1) / interval^3;
value(1, 4) = 1 * EI(ii,1) / interval^3;
elseif (ii == 2)
value(1, 1) = 1 * EI(1,1);
value(1, 2) = -2 * EI(2,1);
value(1, 3) = 1 * EI(3,1);
elseif (ii >= 3) && (ii <= 100)
value(1, ii - 2:ii + 2) = [1*EI(ii), -4*EI(ii), ...
6*EI(ii) + ksi(ii,1)*interval^4, -4*EI(ii), ...
1*EI(ii)];
elseif ii == 101
value(1, ii - 2:ii + 2) = [1*EI(ii), -4*EI(ii), ...
(6*EI(ii) + ksi(ii,1)*interval^4 + 6*EI(ii+1) + ksi(ii + 1,1)*interval^4)/2, -4*EI(ii + 1), ...
1*EI(ii + 1)];
elseif (ii >= 102) && (ii <= count-2)
value(1, ii - 2:ii + 2) = [1*EI(ii), -4*EI(ii), ...
6*EI(ii) + ksi(ii,1)*interval^4, -4*EI(ii), ...
1*EI(ii)];
elseif (ii == count-1)
value(1, count-2:count) = [1*EI(count-2,1), ...
-2*EI(count-1,1), ...
1*EI(count,1)];
elseif (ii == count)
value(1, count-3:count) = [1*EI(count-3,1), ...
-3*EI(count-1,1), ...
3*EI(count-2,1), ...
-1*EI(count,1)];
end
end
  1 Commento
Rahul
Rahul il 18 Ott 2024
Hi @紹臺, can you explain what you're trying to achieve and the issues that you are facing using the given function.

Accedi per commentare.

Risposte (1)

Rahul
Rahul il 21 Ott 2024
Hi Praful,
I believe you are using a MATLAB function to calculate Deflection of Gradient Pile Using Deflection Equation. Here a few improvements you can consider accommodating in your given code snippet, according to your use-case:
  • Matrix Indexing with EI: There is a usage of EI(ii,1) for accessing the stiffness matrix, but in other places (for ii >= 3), EI(ii) is being used without specifying the second dimension. You can ensure that EI is either a vector or a 2D matrix. If EI is a 2D matrix, you can use EI(ii, 1) consistently, otherwise, use EI(ii) for a vector.
value(1, ii - 2:ii + 2) = [1*EI(ii), -4*EI(ii), 6*EI(ii) + ksi(ii,1)*interval^4, ...];
  • Indexing of value Matrix: Accessing parts of value(1, ...) might end up accessing indices out of bounds, since MATLAB uses 1-based indexing, and also while using ii - 2:ii + 2, especially for small values of ii. For example, when ii = 1 or ii = 2, ii 2 becomes zero or negative, which would lead to errors. Ensuring that these ranges are properly bounded can avoid index out-of-bounds errors.
value(1, ii - 2:ii + 2) = [1*EI(ii), -4*EI(ii), ...];
  • Inconsistent Access to ksi Matrix: Similar to EI, inconsistency in using ksi(ii, 1) (assuming ksi is a matrix) and sometimes just ksi(ii), could lead to errors depending on how the ksi variable is structured:
6*EI(ii) + ksi(ii,1)*interval^4
  • Dimension Mismatch in Assignments: For example, in the following part, while assigning a 3-element vector to a portion of the value array:
value(1, count-2:count) = [1*EI(count-2,1), -2*EI(count-1,1), 1*EI(count,1)];
For more information regarding usage of matrices and arrays in MATLAB, refer to the documentation links mentioned below:

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