Engineering Software Research & Development

Reliable strength prediction in laminated composites requires the simultaneous control of discretization and model-form errors. Conventional plate and shell formulations cannot generally provide this control. The hp-version of the finite element method offers a practical solution.

"From Legacy Finite Element Modeling to Explainable Simulation: Technical Requirements for XAI in Computational Mechanics", a technical paper authored by ESRD Co-founder and Chairman Dr. Barna Szabó, was recently published in Computational Mechanics and is available to all as an open-access article. This paper discusses technical requirements posed by Explainable AI (XAI), methods for controlling both model-form and discretization errors in AI-assisted simulation, and model-centric vs. element-centric implementations.

Numerical simulation has substantial unrealized potential due to a disconnect between the professional practice of finite element modeling and the underlying science of numerical simulation. Realizing this potential requires bridging that gap—a challenge that entails overcoming several critical obstacles.