Presenting Simulation Results

Presenting the results of a Monte Carlo simulation can be challenging when your audience isn’t inclined to receive probabilistic information.  Decision makers often want a single number for net present value, project completion date, or profit. How do we as the modeler/analyst present this information so it is understood and appreciated for the extra information …

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Interpolating S-N Data

When doing stress life fatigue analysis of spectral loading, interpolating S-N data becomes necessary.  MEboost has three methods to do this, depending on the data available. Background on Cumulative Fatigue Damage Before proceeding, let’s briefly explain why we need to interpolate.  With spectral loading, the stress cycles are varying with time.  The first step is …

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Optimizing a Design with Monte Carlo Simulation

Performance and cost trade-offs are a constant in engineering design.  Optimizing a design to balance these competing forces can be challenging to quantify and we often have to resort to experience or intuition.  One of the traditional cost drivers is specifying tolerances.  Part dimensions are naturally random variables since each part manufactured will not be …

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