1 code implementation • 16 Jan 2019 • Renato Giorgiani Nascimento, Felipe A. C. Viana
The results demonstrate that our proposed hybrid physics-informed recurrent neural network is able to accurately model fatigue crack growth even when the observed distribution of crack length does not match with the (unobservable) fleet distribution.