Training Course

From COSSAN Wiki
Revision as of 01:44, 2 December 2019 by Epatelli (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

COSSAN TRAININ COURSES

8th Cossan Training Wuhan University

30 November - 1 December 2019

Important.png Licence server
192.168.5.219


Requirements: MS Windows 10 or Linux distribution, Matlab Run Time 2018b, JavaOpenJDK

Lecture Notes

Examples

Model 1

Let assume we want to compute the output of a model defined as: y=x*a;

where x is a random variable and a is a parameter.


Define Evaluator

Structure Input/Output

Toutput(n).y=Tinput(n).x*Tinput(n).a;

Matrix Input/Output

 Moutput=Minput(:,1).*Minput(:,2);

See also: Mio_(editor)


Cantilever Beam

See Tutorial Cantilever Beam

Buffon example

  • Define 2 random variables u1 and u2 (uniform distribution between 0 and 1) and 2 functions d=u1*D and theta=u2*pi/2
  • Define parameter t=10
  • Define paremeter L=8
  • Define 2 parameters (t and L)
  • Define a matlab connector matlab connector (editor) to compute L cos \phi. Script script:
 <&L&>*cos(<%phi%>)
  • Define a performance function in the evaluator -> Performance Function as Demand (d) Capacity (t). See Performance Functions (editor) for more details
  • Perform Monte Carlo simulation (from Reliability Analysis)

Ishigami Function

Click on the links for detailed explanation of the Ishigami Function and the definition of the Ishigami_Function_(Connector).


Tutorials

Media:CantileverBeamOptimization.zip‎

7th Cossan Training Wuhan University

30TH NOVEMBER - 1ST DECEMBER 2019

UNIVERSITY OF LIVERPOOL



Lecture Notes

Videos


Useful links

See Also