Numerical analysis of large masonry structures: bridging meso and macro scales via artificial neural networks

This paper presents a methodology for analysis of large-scale masonry structures. The approach involves development of a series of artificial neural networks which enable the identification of main variables employed in the macroscopic formulation that incorporates an inelastic constitutive law with embedded discontinuity. The data required for training of neural networks is generated using ‘virtual experiments’, whereby the ‘equivalent’ …