Stefan Bosse, Edgar Kalwait, Fatigue and damage diagnostics with predictor functions for new advanced materials by Machine Learning, MAPEX SpaceMat 2020 Symposium 31.8 -1.9.2020, Bremen, Germany
There is an emerging field of new materials highly related to space applications like fibre-metal laminates (DFG FOR3022). Typically, material properties are determined from tensile tests. We investigate approximating predictor functions by Machine Learning (ML) for inelastic and fatigue prediction by history data measured from simple tensile tests within the elastic range of the material. We show some preliminary results from a broad range of materials and outline the challenges to derive such predictor functions by ML.