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The proposed local method was also compared with some global methods, including optimal model updating techniques.
Many previous model updating techniques have exhibited inconsistent performance when subjected to noisy experimental data.
In particular, focus is placed on reviewing the state of the art of FE model updating techniques.
To identify the loading and damage parameters, deterministic and probabilistic model updating techniques are applied and compared.
Model updating techniques have to handle several difficulties, like incomplete experimental data, measurement errors, non-unique solutions and modeling uncertainties.
FE model updating techniques are used to update dynamic FE models of structures in the light of modal test data.
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Finite element (FE) model updating technique belongs to the class of inverse problems in classical mechanics.
The present study is a new application of an existing FE model updating technique.
A gradient-based finite element (FE) model updating technique has been used for such detection.
This paper proposes data fusion of translational and rotational responses for improved system identification using FE model updating technique.
Hence, a novel method of damage localization is presented to utilize the direct model updating technique and provide reliable and practical equations for this process.
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