Aerospace & Defense Technology - October 2021 - 12

An Automated System for
Multi-Physics Modeling
A
nalyzing new and existing
aerospace platforms is a timeconsuming
and labor-intensive
process that often requires
fusing multiple domains of
physics and engineering, along with
competing assumptions. Analyzing the
vortex bursting behavior of the F/A-18
platform, for example, and its resulting
impact on tail buffeting and structural
fatigue[1] is a multi-physics problem requiring
aeroelasticity modeling, as well
as fluid and structural meshes[2]. Capturing
complicated physical events in a single
model can be quite complex and require
a lot of computing power.
To make this problem feasible or
often, more importantly, to utilize existing
work by other scientists and engineers,
modelers typically break up the
single physical phenomena into multiple
simpler models. Each model represents
different aspects of the problem.
For instance, in a fluid-structure interaction
(FSI) problem, there might be one
model representing fluid flow and another
representing a physical structure.
Generally, modeling that refers to multiple
interacting physics is called multiphysics
modeling.
A key component in making a viable
multi-physics model is the coupling
process. Coupling refers to the way the
two models, representing the different
types of physics, interact. There are various
types of coupling. For performance
reasons, when two meshes at different
refinement levels are coupled, the lower
refinement model might sample the
higher refinement model at a lower resolution
than initially intended, introducing
possible inaccuracies. Another type
of coupling can include bi-directional information
flow with different assumptions.
If both models use a shared measurement,
such as temperature along a
boundary, then the models might need
to run simultaneously with some information
freely flowing between them.
Programming this type of coupling between
models can be tricky. The user
needs the flexibility to share information
between models and make updates, but
also be cautious of possible errors that
can be introduced when coupling different
models. Incompatibilities between
individual models can damage the entire
modeling system's validity, such as when
the coupled models make different assumptions
about scale due to being developed
by different teams.
Worse yet, errors can go undiscovered
but cause inaccuracies in the final result.
Across technical areas, models are used
to represent various things but are made
by people with inherent, and often dif12
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Aerospace & Defense Technology - October 2021

Table of Contents for the Digital Edition of Aerospace & Defense Technology - October 2021

Aerospace & Defense Technology - October 2021 - Intro
Aerospace & Defense Technology - October 2021 - Sponsor
Aerospace & Defense Technology - October 2021 - Cov1
Aerospace & Defense Technology - October 2021 - Cov2
Aerospace & Defense Technology - October 2021 - 1
Aerospace & Defense Technology - October 2021 - 2
Aerospace & Defense Technology - October 2021 - 3
Aerospace & Defense Technology - October 2021 - 4
Aerospace & Defense Technology - October 2021 - 5
Aerospace & Defense Technology - October 2021 - 6
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Aerospace & Defense Technology - October 2021 - 8
Aerospace & Defense Technology - October 2021 - 9
Aerospace & Defense Technology - October 2021 - 10
Aerospace & Defense Technology - October 2021 - 11
Aerospace & Defense Technology - October 2021 - 12
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Aerospace & Defense Technology - October 2021 - 42
Aerospace & Defense Technology - October 2021 - 43
Aerospace & Defense Technology - October 2021 - 44
Aerospace & Defense Technology - October 2021 - Cov3
Aerospace & Defense Technology - October 2021 - Cov4
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