10 Ways to Perform a Faster Fatigue Analysis
Durability is an important driver in product design. This requirement has presented a fascinating challenge to the engineer: How do we predict the life of the part?
You may have dipped your foot into these waters yourself – either using measured strain gage data, or using predicted stresses and strains from FEA.
The size of the inputs into this durability question has radically increased recently. This data explosion is related to computing power and hardware capacity. It has never been easier to record strain data for hours on end, or model an entire structure with 1 million elements. We have come a long way since the days of analog tape and single processors.
We now have the ability to perform fatigue analysis on large models and with long loading histories, but it comes with a challenge: How do we get the right answer faster?
Compute times that stretch into days or weeks lead to problems with project timelines. Who can afford to wait that long for answers these days? Some say this is the ‘human endurance limit’ – how long can we actually wait to get results?
A clever engineer can remove this ‘human endurance limit’ by following a few key practices. In this webinar, we’ll look at ways to speed up your durability calculation while retaining all the powerful analysis capabilities you need.
Originally presented on: April 30, 2014