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Sub-structure Coupling for Dynamic Analysis - Application to Complex Simulation-Based Problems Involving Uncertainty (Hardcover, 1st ed. 2019)
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Sub-structure Coupling for Dynamic Analysis - Application to Complex Simulation-Based Problems Involving Uncertainty (Hardcover, 1st ed. 2019)
Series: Lecture Notes in Applied and Computational Mechanics, 89
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Total price: R3,199
Discovery Miles: 31 990
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This book combines a model reduction technique with an efficient
parametrization scheme for the purpose of solving a class of
complex and computationally expensive simulation-based problems
involving finite element models. These problems, which have a wide
range of important applications in several engineering fields,
include reliability analysis, structural dynamic simulation,
sensitivity analysis, reliability-based design optimization,
Bayesian model validation, uncertainty quantification and
propagation, etc. The solution of this type of problems requires a
large number of dynamic re-analyses. To cope with this difficulty,
a model reduction technique known as substructure coupling for
dynamic analysis is considered. While the use of reduced order
models alleviates part of the computational effort, their
repetitive generation during the simulation processes can be
computational expensive due to the substantial computational
overhead that arises at the substructure level. In this regard, an
efficient finite element model parametrization scheme is
considered. When the division of the structural model is guided by
such a parametrization scheme, the generation of a small number of
reduced order models is sufficient to run the large number of
dynamic re-analyses. Thus, a drastic reduction in computational
effort is achieved without compromising the accuracy of the
results. The capabilities of the developed procedures are
demonstrated in a number of simulation-based problems involving
uncertainty.
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