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Finite Element Model Updating Using Computational Intelligence Techniques - Applications to Structural Dynamics (Hardcover, Edition.)
Loot Price: R4,474
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Finite Element Model Updating Using Computational Intelligence Techniques - Applications to Structural Dynamics (Hardcover, Edition.)
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FEM updating allows FEMs to be tuned better to reflect measured
data. It can be conducted using two different statistical
frameworks: the maximum likelihood approach and Bayesian
approaches. This book applies both strategies to the field of
structural mechanics, using vibration data. Computational
intelligence techniques including: multi-layer perceptron neural
networks; particle swarm and GA-based optimization methods;
simulated annealing; response surface methods; and expectation
maximization algorithms, are proposed to facilitate the updating
process. Based on these methods, the most appropriate updated FEM
is selected, a problem that traditional FEM updating has not
addressed. This is found to incorporate engineering judgment into
finite elements through the formulations of prior distributions.
Case studies, demonstrating the principles test the viability of
the approaches, and. by critically analysing the state of the art
in FEM updating, this book identifies new research directions.
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