This study attempts to answer the question of distinguishing appropriate intensity measure parameter for performance-based design or assessment, taking into account the efficiency aspect. The comprehensive comparative tables proposed in this paper could be an effective support in the decision making procedure for intensity measure selection, comprising most of the frequently utilized intensity ...

Conditional heteroskedasticity can be exploited to identify the structural vector autoregressions (SVAR) but the implications for inference on structural impulse responses have not been investigated in detail yet. We consider the conditionally heteroskedastic SVAR-GARCH model and propose a bootstrap-based inference procedure on structural impulse responses. We compare the finite-sample properti...

Semi-active fluid viscous dampers as a subset of control systems have shown their ability to reduce seismic responses of tall buildings. In this paper, multi-objective optimization of the performance of this group of dampers in reducing the seismic responses of buildings is studied using multi-objective genetic algorithms. For numerical example, two 7 and 18 stories buildings are chosen and mod...

Electrocorticography (ECoG) allows for measurement of task-related local field potentials directly from cortex in neurosurgical patients. Diffusion tensor imaging (DTI) tractography is an MRI technique that allows for reconstruction of brain white matter tracts, which can be used to infer structural connectivity. This paper reports a novel merger of these two modalities. A processing stream is ...

This paper uses Artificial Neural Network (ANN) models to compute structural response of a structural system by training the model for a particular earthquake. Here, the earthquakes in India viz. at Chamoli and Uttarkashi ground motion data have been considered for the analysis. The neural network is first trained here for a single real earthquake data on a single degree of freedom structural s...