Today’s environment demands new approaches to apply relevant, dependable data to deal with increasing challenges. These include the effects of climate change, extreme weather, and a variety of issues related to structural strength and resilience. The Brewick Group team works to find the “sweet spot” between expensive, high-fidelity models that can take years to simulate with lower-fidelity models that are less accurate but easier to simulate. The goal is to address the balance between efficiency and accuracy.
For example, a NRL project that explored shock trials acknowledged that the most accurate simulations are field tests, but field tests are extremely expensive and time-consuming. The alternative is to use computational tools to simulate performance in a reasonable timeframe. The goal is to leverage multi-fidelity solutions that address uncertainty quantification without dangerous, expensive solutions. This delivers confidence about the variables so that millions of simulations can then be run on the order of minutes and hours as opposed to weeks and months.
The Brewick Group develops these multi-fidelity tools, frameworks, methodologies and workflows that maximize the strengths and minimize the weaknesses for a variety of case scenarios. Their solutions are made available via open-source means that future researchers can access and adapt. The highly collaborative lab invites others with similar interests to reach out and explore new opportunities together.