IPPM’s latest published journal papers present data on a characterization methodology for composites under fatigue loading using dielectric state variables and a review of artificial intelligence models from the past few decades that have been applied to structural health monitoring and prognostics health management of polymer matrix composites.
• Stiffness Degradation in Fatigue Life of Composites Using Dielectric State Variables (Composite Structures, Vol. 273, October 1, 2021, link here)
• Artificial Intelligence in Real-Time Diagnostics and Prognostics of Composite Materials and its Uncertainties—A Review (Smart Materials and Structures, Vol. 30, No. 8, June 23, 2021, link here)
In addition, a patent was granted in April for IPPM’s “Systems And Methods For Assessing The Quality Of Adhesive Bonds.” More information can be found here.
Institute for Predictive Performance Methodologies (IPPM) Two Papers Published, One Patent Granted
