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.
