The broader impact of this Small Business Innovation Research (SBIR) Phase II project is to enable faster design cycles and less expensive maintenance operations of aerospace structural systems while simultaneously improving their overall safety and durability. By developing the next generation of computational tools that can efficiently and accurately predict the aging and degradation of complex structural systems at full scale, this project will provide critical technology to the aerospace industry to accelerate the design of next generation systems, track unit-specific aging of the in-service aircraft fleet, and lower the dependence from complex and expensive full-scale testing. Empowered with these new predictive tools, engineers will be able to proactively address potential failures, reduce the risk of catastrophic accidents, safeguard valuable assets, and minimize equipment downtime. The technology at the core of this project has also the potential to make transformative impacts across multiple areas of socio-economic significance whose progress strongly relies on predictive simulation tools. Examples include, but are not limited to, advancing health and welfare via enhanced modeling capabilities for drug delivery and disease spread, more accurate prediction of extreme climate events, designing safer and more sustainable infrastructure systems. This Small Business Innovation Research (SBIR) Phase II project will focus on the development and validation of a fractional