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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.
The objective of this study is to locate damage in the shear buildings by direct model updating technique and vibrational measurement data.
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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.
FE model updating techniques are used to update dynamic FE models of structures in the light of modal test data.
Model updating techniques have to handle several difficulties, like incomplete experimental data, measurement errors, non-unique solutions and modeling uncertainties.
To identify the loading and damage parameters, deterministic and probabilistic model updating techniques are applied and compared.
More suggestions(14)
model fitting technique
model updating issue
model updating unit
model updating method
model updating algorithm
model averaging technique
model generating technique
model following technique
model checking technique
model updating framework
model matching technique
model updating problem
model updating strategy
model adaptation technique
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