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Evaluates AI tools for decision-making in aerostructure certification, suggesting more efficient certification processes.
Transforming decision-making in the certification of aerostructures through AI: Inside the European pAIramid project pAIramid provides AI‑enabled virtual tools to support decision‑making in aerostructure certification, optimising design and manufacturing strategies with reduced physical testing. The certification of composite aerostructures remains one of the most time-consuming and costly stages in the development of new aircraft. Traditional certification relies on a sequential testing pyramid – material, coupon, element, and full aerostructure – requiring extensive physical testing and repeated validation. This rigid methodology slows down innovation and limits the ability to introduce new materials or manufacturing processes. The European project pAIramid aims to address these challenges by creating a decision-making tool that will help users to define designs and process guidelines from any level of the certification test pyramid.
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Julen Manterola (2026) studied this question.
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