Digital Twinning of Aerospace Structures

Abstract

Digital twinning has emerged as a cutting-edge technology with significant applications across various industries, including the aerospace sector. Aerospace components operate in harsh environments that may induce severe loads, increasing the risk of catastrophic failures and resulting in substantial human and financial implications. To mitigate these risks, a digital twin framework can be employed for structural health monitoring. Although multiple digital twinning methodologies exist, each with distinct advantages, the inverse Finite Element Method (iFEM) stands out due to its capacity for transforming discrete strain sensor readings into full-field structural response data. This comprehensive dataset—which can encompass displacements, strains, and stresses—enables the construction of an accurate digital representation of the structure. By applying relevant failure criteria to these data, potential damage can be identified at early stages, allowing for timely maintenance or corrective actions. In this study, representative aerospace structures composed of both isotropic and composite materials will be investigated. Collected strain sensor data will be processed via the iFEM methodology to generate digital twins of these structures. Through this approach, the applicability and effectiveness of iFEM for aerospace applications will be demonstrated, highlighting its potential to enhance safety and reduce operational costs in the industry.