Uncertainty Quantification & Mathematical Modelling

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This exercise will employ uncertainty studies using an innovative model that has recently been developed. In this regard, it has become possible to link ANSYS Workbench via MATLAB using an in-house written code that has been examined and provided precise results. The advantage of this developed routine is that it allows the user to enter as many input parameters as required whereby the code will automatically operate the ANSYS, run the model, get the results and feedback to obtain other results. This means that any parameter, can be chosen as a set of random values within a defined range from which the bond strength, for instance, of a structure can be evaluated. This allows the possibility of choosing the most sensitive parameters alongside the values that provide the optimum bond strength. This will reduce the time, cost and number of trials to choose the optimum design parameters alongside the use of mathematical tools such as the Meta-models in conjunction with this code for efficient uncertainty analysis. 

 

In summary, our team will be able to:

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• Investigate the problem

• Define the most sensitive parameter (s) affecting the performance

• Build-up an uncertainty model associated with the chosen parameter (s)

• Run the analysis to obtain the optimum and robust values that provide the best performance

• Provide recommendations on the best set of parameters to be used for manufacturing 

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