Bruno A. Roccia

A data-driven solving strategy based on a greedy optimization algorithm for the analysis of nonlinear beam structures

In the last decade, data-driven computational mechanics (DDCM) has emerged as a novel paradigm in computational mechanics, enabling the direct use of constitutive data — such as stress–strain pairs obtained from experiments, without relying on ad-hoc material models and thereby a...