- https://www.mathworks.com/help/matlab/ref/plot.html
- https://www.mathworks.com/help/matlab/ref/scatter.html
- https://www.mathworks.com/help/matlab/matlab_prog/create-a-table.html
Performing offshore system fatigue damage assessmet
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Salut MatLab developpers,
1) I am performing failure damage assessment of an offshore system based on sea state (wave heights-Hs and peack period-Tp). Is it possible for every 1000 iterations of an MatLAb code, print plots that indicate the average trend of the sea state generation?
2) To print table of expected damage (expecteddamage) calculated for each iterations and from this produce plots of (expecteddamage vs. no iterations)?
How can that be?
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Aditya
le 6 Oct 2023
Hi jose,
From your first query, I understand that you want to print plots that indicate the average trend of the sea state generation after every 1000 iterations, for this you can utilize MATLAB’s plotting functions like ‘plot’ or ‘scatter’.
Regarding your second query, MATLAB provides the 'table' function, which can be used to create tables. You can utilize this function to create a table of expected damage calculated for each iteration.
I have also included a sample code snippet for your reference:
numIterations = 10000
for i = 1:numIterations
% Accumulate wave heights (Hs) and peak periods (Tp)
% based on your calculations
if mod(i,1000) == 0
avgHs = mean(Hs)
avgTp = mean(Tp)
% Plot average trend of sea state generation
figure;
plot(1:i/1000, avgHs, 'b-', 'LineWidth', 2);
hold on;
plot(1:i/1000, avgTp, 'r-', 'LineWidth', 2);
hold off;
end
end
for i = 1:numIterations
% Store the expected damage value for each iteration
expecteddamage(i) = yourExpectedDamageCalculation();
end
% Print the table of expected damage
tableOfExpectedDamage = table(expecteddamage, 'VariableNames', {'ExpectedDamage'});
disp(tableOfExpectedDamage);
% Plot expected damage versus number of iterations
figure;
plot(1:numIterations, expecteddamage, 'b-', 'LineWidth', 2);
For more information on the 'plot', 'scatter', and 'table' functions, you can refer to the MATLAB documentation provided in the following links:
Hope this helps!
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