بحث بعنوان Model Updating for Structural Dynamics – Past, Present and Future Outlook

بحث بعنوان
Model Updating for Structural Dynamics – Past, Present and Future Outlook
Dascotte, E.
Dynamic Design Solutions, N.V.
Interleuvenlaan 64, B-3001 Leuven, Belgium
[email protected]
SUMMARY: During the past two decades, finite element model updating using experimental data has matured
from attempts to directly calibrate system matrix coefficients until today’s semi-automatic iterative techniques.
State-of-the-art approaches provide the flexibility that is needed to update virtually any input parameter, at either
a local or a global level. Despite the large number of contributors to the research, only few commercial
implementations have emerged that combine all necessary supporting tools and enable interaction with standard
solvers. In this presentation, the entire model updating process is reviewed and some successful methodologies
are highlighted. Based on the author’s own experiences over the past 20 years, a number of practical solutions are
presented that allowed to remove past barriers, increase user productivity and widen the field of application. The
paper concludes with current trends and an outlook to the future of the technology.
KEYWORDS: model updating, structural dynamics, validation.
CONCLUDING REMARKS
The past 30 years have seen a steadily increase of interest in model updating from researchers primarily active in
other fields. The development of the technology has long time been nourished by the experimental modal
analysis community. The needs of structural dynamics analysts for reference data in test-analysis correlation and
subsequent model updating quickly became a major motivator for doing tests.
Today model updating has reached maturity for a whole range of industrial applications. Initial skepticism or
overly high expectations has made room for a more realistic approach. A growing awareness for the need of
quality assurance in CAE, the entrance of a new generation of engineers and removal of most practical obstacles
related to computing and communication has put model updating on the short list of engineering managers
seeking to remain competitive in a future that will heavily rely on simulation-based design.
Research is shifting to applications that incorporate model updating and to more advanced topics like multiphysics simulation and non-linear dynamics. This is in unison with the current trends in finite element analysis.
The challenges for model updating that are ahead of us are certainly not less than the ones the previous
generation of researchers had to face.
In the long term, model updating has the potential to become a separate science that is closely interacting with
the fields of meshing, simulation, verification, validation and design optimization. There can be no simulation
without a reality check. If the required accuracy is not met, then a model should be updated prior to using it for
design optimization. Furthermore, model updating, and inverse methods in general, will enable mixed numerical experimental techniques that can be embedded in a range of vertical applications that address the needs of various industries.

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