AIAA Journal Keynote: Shifting the Paradigm of Aerospace Structural Modeling with AI

Date & Time: 11-noon EDT on Tuesday, October 14, 2025

Registration: at https://lnkd.in/gb_ANhDN

Dr. Wenbin Yu - the Milton Clauser Professor of Aeronautics and Astronautics and the Director of the Composites Design and Manufacturing HUB (cdmHUB.org) at Purdue University - will be giving an “AIAA Journal keynote” at 11-noon EDT on Tuesday, October 14, 2025. Wenbin will share with us advances and research needs in the Mechanics of Structure Genome (MSG) - a technique that he pioneered to unify multiscale framework that connects material properties and microstructure to structural analysis. See abstract below.

Dr. Byron Pipes - John L. Bray Distinguished Professor of Engineering at Purdue University, Executive Director of the Indiana Manufacturing Institute, and past president of Rensselaer Polytechnic Institute, will be moderating Wenbin’s keynote. 

I like to invite all to attend this keynote by registering at https://lnkd.in/gb_ANhDN. There is no cost to registration, and all who register can access both the live and the archived version of keynote. Hope to see you there.

Abstract of Keynote: Aerospace structures increasingly use advanced, anisotropic, and heterogeneous materials whose behavior spans multiple length scales—demanding rigorous multiscale modeling for credible design and analysis. The Mechanics of Structure Genome (MSG) offers a paradigm shift in this arena: it minimizes information loss, overcomes limitations of traditional modeling approaches, and confines all approximations to the constitutive modeling step. In doing so, MSG links microstructural features directly to structural performance while remaining compatible with mainstream aerospace design tools, enabling rapid insertion of new materials early in the design cycle. Yet important barriers persist, including computational cost, scarce or uncertain microstructural data, non-physics-based model assumptions, and limited accessibility for non-experts. Emerging AI/ML methods can overcome these barriers—accelerating multiscale computations, inferring missing microstructural information, enabling natural-language workflow creation, and democratizing access to sophisticated computational tools. Attendees will see how AI-assisted, MSG-based modeling delivers a practical balance of fidelity, speed, and usability—opening a pathway to faster material down-selection, more reliable structural predictions, and broader adoption of advanced modeling tools across the aerospace enterprise.