| KEYWORD |
Retrofitting optimization for existing masonry / reinforced concrete buildings by means of artificial intelligene algorithms
keywords CALCESTRUZZO ARMATO, OTTIMIZZAZIONE, RETROFITTING, SISMICA, TERREMOTO, FABBRICATI
Reference persons FABIO DI TRAPANI
Thesis type NUMERICAL AND PROGRAMMING
Description The thesis identifies optimization criteria of the type and quantity of structural reinforcement (e.g. reinforced plasters, CAM, FRP) among the structural elements of masonry or reinforced concrete buildings. The optimization is aimed at maximizing the effectiveness of reinforcement with a minimization of the cost by means of evolutionary artificial intelligence algorithms (e.g. genetic algorithms). It is expected to interface FE analysis tools (OpenSees) with management and data analysis tools (Matlab).
See also presentation.pdf
Required skills Solid mechanichs, Structurl design, Bases of finite element modelling, Matlab
Deadline 12/06/2024
PROPONI LA TUA CANDIDATURA