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In this paper, a novel method of damage identification for beam using artificial neural network (ANN) based on statistical properties of structural dynamic responses is developed. In this method, the changes of variances (or covariance) of structural responses are selected as damage indices for damage identification. Firstly, the feasibility of using the statistical property as damage index is validated...
Accurate estimation of blast loads on structures is essential for reliable predictions of structural response and damage. Current practice in blast effect analysis and design estimates blast loads primarily based on empirical formulae obtained from field blast tests. Due to the limited availability of test data, those empirical formulae are usually applicable to the case that the reflection surface...
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