UNCERTAINTY EFFECT ON SEISMIC CAPACITY ASSESSMENT IN THE OUT-OF-PLANE FAILURE MECHANISMS OF MASONRY STRUCTURES BY PROBABILISTIC AND NON-PROBABILISTIC APPROACHES

The present paper aims to provide a contribution in the study of the seismic analysis of existing masonry structures in presence of uncertain parameters described by following both probabilistic and non-probabilistic models.By posing the attention on the local out-of-plane failure mechanisms, the non-deterministic analysis is conducted on the kinem

Due to its inherent ability of augmenting power system stability limit while maintaining good electric Power Quality (PQ), Power System Stabilizer (PSS) is envisaged to be an effective device in numerous Distributed Generation (DG) applications.It Drive Rolls becomes a paramount work to maintain stable frequency, and alleviate the utility-grid coll

Graph neural networks (GNNs) have been widely adopted for modeling graph-structure data.Most existing GNN studies have focused on designing different strategies to propagate information over the graph structures.After systematic investigations, we observe that the propagation step in GNNs matters, but its resultant performance improvement is insens

Graph neural networks (GNNs) have been widely adopted for modeling graph-structure data.Most existing GNN studies have focused on designing different strategies to propagate information over the graph structures.After systematic investigations, we observe that the propagation step in GNNs matters, but its resultant performance improvement is insens