T. Bogdan

Transfer learning for the assessment of bolted steel joints employing mechanical models and ANNs

Artificial neural networks (ANNs) are efficient surrogate models; however, their application in structural engineering is often limited by the high computational cost required to generate sufficiently large training datasets from nonlinear FE analyses. This paper proposes a framework that combines transfer learning, an...