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  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