NSWC Crane is interested in funding research on developing 3-D models of component lifetime predictions incorporating finite element analysis, fatigue analysis, and deep learning methods.
These models will encompass both the forces that change the materials properties within a system and materials
properties that change with chemical aging; i.e., aging of materials under no external load.
Virtual reality visualization will be employed to allow field operators to analyzing the results in an intuitive way to implement maintenance schedules and/or corrective actions.