Strategies will be explored for developing mathematical models to support condition-based maintenance (CBM) decisions via a practical case study.
April 22, 2021 @ 11:00 am EST
Simulation Governance Is Critical for Reliable Condition-Based (Predictive) Maintenance
WEBINAR SUMMARY
This webinar, hosted by ESRD partner Revolution in Simulation, will present a case study in which the goal was the development of a mathematical model for supporting condition-based maintenance (CBM) decisions.
The model was designed for estimating the remaining fatigue service life of high-value mechanical components, given their service history and that specific flaws (such as corrosion defects) have been discovered in them, thus enabling CBM to move damaged component removals from unscheduled to scheduled maintenance action.
WEBINAR HIGHLIGHTS
- Mathematical models have both intuitive, creative components and objective, science-based components. These two components must be in equilibrium.
- What is the difference between finite element modeling and numerical simulation?
- What is the domain of calibration and how to specify it?
- How the outcome of validation experiments should be evaluated and reported?
- Why is the development of mathematical models open-ended? – Why no one can claim to have the last word?
- Why simulation governance is essential for the success of numerical simulation projects?
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“At DST Group, we have effectively used StressCheck over the last 10 years to determine accurate stress intensity factors. The results have been used to improve our residual strength and structural life estimates for aircraft in service with the Royal Australian Airforce, including C-130, P-3C and F/A-18 A/B. We have found it to be extremely easy to use and a very versatile code with which to create parametric models.
We have recently used StressCheck to obtain improved stress intensity factor solutions (Improved stress intensity factors for selected configurations in cracked plates and Improved stress intensity factors for a single corner crack at a loaded fastener hole) for five key generic configurations. These transferable parametric results have been published externally. One specific example is the non-linear contact analysis of a cracked, filled fastener hole, with both fastener and remote plate loading.”
Dr. Manfred Heller, Head
Structural & Damage Mechanics, DST Group