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Numerical and experimental damage metrics values were compared, showing a good correlation in terms of tendency.
Finally, different criteria were used to correlate to the experimental damage.
In this paper, an experimental damage identification procedure based on structural dynamic responses and using smart sensors is conducted.
Therefore the paper will focus on the comparison between the experimental damage and the simulated one using a 3D acquisition of the experimental impacted area.
Damage localization of a simply supported beam model with numbers of numerical and experimental damage cases are employed to verify the proposed approach.
In both cases, the algorithm is tested first to update the numerical model of the structure, and second, to assess experimental damage.
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In addition, calculated creep strains in the bridges agree with experimental damage-zone strains.
Therefore, the main objectives of this paper are: to evaluate the effectiveness of a numerical model to replicate the experimental damages of reinforced concrete (RC) columns subjected to close-in blast loading; to obtain modelling guidelines for this phenomenon and to provide quality experimental data that could be used as a reference to check the accuracy of a variety of calculation methods.
During experimental tests, damage mostly concentrated at the top and bottom of the CFS columns due to the web crippling of the channels close to the connections, while no fracture or obvious slippage was observed at the connection zones.
Clinical and experimental renal damage induced by K2Cr2O7 has been associated with oxidative stress [ 15- 20].
The inhibition of the NF- κB pathway has also shown the prevention of inflammation in experimental renal damage.
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