The NAFEMS Aerospace Seminar drew attention with a high-profile lineup, including leaders from the FAA and NASA, bringing forward the latest developments in simulation, AI-driven surrogate modeling, and infrastructure for aerospace digital design. The event underscored growing consensus: simulation must evolve beyond brute force high-fidelity models to more flexible, scalable, and intelligent workflows, says Digital Engineering.
A major thread was surrogate modeling, which uses AI or statistical models to approximate the behavior of complex systems with much lower computational cost. Speakers emphasized that by pairing high-fidelity simulations with data-driven surrogates, engineers can explore design spaces more rapidly. The approach helps when full physics models are too slow for iterative design or optimization loops.
Beyond individual modeling techniques, the seminar also addressed infrastructure: digital twins, co-simulation across disciplines, and the integration of simulation into certification pipelines. Attendees discussed how validated models and surrogate tools could feed into digital engineering strategies, bridging conceptual design to verification and qualification.
In this respect, regulatory alignment was a recurring topic, especially given aerospace’s heavy dependence on safety, traceability, and certification.
Also highlighted were case studies and use cases in aerospace sectors: how multi-physics coupling (aerodynamics, structures, thermal) and model reduction methods are beginning to see adoption in real design projects. Speakers argued that simulations should not be isolated silos but part of interconnected digital workflows.
The seminar painted a picture of aerospace simulation in transition. The field is shifting from purely physics-heavy tools to hybrid systems that mix fidelity, data, and intelligent approximations. The new paradigm aims to make simulation more agile, scalable, and central to every part of aerospace engineering.