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Antiresonances can be identified from experimental FRFs with much less error than mode shapes; furthermore, correlation between test and analysis antiresonances is a good index of the correlation between test and analysis FRFs.
To address the question whether the biological signals are strong enough for the specific type of model parameterization to be identified from experimental data, we have analyzed such data under a series of candidate FF subtypes.
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Matrix material parameters are identified from experimental tests carried out at several loading rates.
The TBC bond strength is identified from experimental results of spallation tests.
The material parameters for the creep law are identified from experimental results.
Many of the associated numerical parameters are identified from experimental tests.
Their parameters are identified from experimental data, and the models are then validated.
First, a set of linear models has been identified from experimental data.
Key performance mechanisms of viscoelasticity and current leakage are identified from experimental observations and analytical models are developed.
An algebraic NARX model capable of estimating AFR, including transient behaviour, is identified from experimental data using ordinary least squares.
Parametric models for the plant and non-periodic part of the disturbance are identified from experimental data.
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