| KEYWORD |
Non-linear identification of structures and hybrid simulations
keywords HYBRID SIMULATIONS, HYBRID TESTING, NON-LINEAR SYSTEM SIMULATION, SURROGATE MODELS, SYSTEM IDENTIFICATION
Reference persons ROSARIO CERAVOLO
External reference persons Gaetano Miraglia (EED lab, R3C); Giuseppe Abbiati (Assistant Professor at University of Aarhus, EED lab)
Research Groups Computational Methods in Civil Engineering, University of Aarhus (DK), Earthquake Engineering & Dynamics lab
Thesis type EXPERIMENTAL AND SIMULATIONS
Description Increase the efficiency of probabilistic updating of non-linear dynamic systems subjected to stochastic seismic excitation, toreduce the computational requirements without affecting accuracy. Tools: non-linear autoregressive models; surrogate models. Application: hybrid simulation and testing of structures (coupling physical and mathematical models)
Required skills Matlab
Deadline 25/12/2020
PROPONI LA TUA CANDIDATURA