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Under dynamic discrepancy theory, the mass and stiffness orthogonality conditions are independently expanded to establish two model updating formulations.
We examine different model updating formulations, e.g. calibration and bias-correction, as well as different solution methods.
Using the benchmark thermal challenge problem as an example, we study several possible model updating formulations using the proposed methodology.
Another novelty is to enhance the two well-known model updating formulations for achieving more appropriate updating results.
This study is intended to propose an iterative model updating method to adjust the mass and stiffness matrices of the FE model by improving model updating formulations.
Similar(55)
When α=1 the original updating formulation is achieved.
The approach does not use identification, operates without constraints between the number of sensors and the number of model degrees of freedom and differs from model updating in that only the damage distribution (and not the severity) enters the formulation.
Model updating is, therefore necessary so that updated model should replicate the physical system.
In the first step, mass and stiffness matrices are updated using FRF-based model updating method.
Compared with the traditional method, the multi-state model updating method got a similar updating result.
The updated formulation in Version 3 of the model is shown to better approximate liquefaction behaviors for sloping ground and irregular cyclic loading conditions.
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