Session: 01-08-02: Nondestructive Evaluation and Structural Health Monitoring 2

Paper Number: 161315

161315 - Digital Twinning of Aerospace Structures 

Digital twinning is an advanced technology currently used in many different applications. It also has an important potential to be utilised in aerospace industry. Aerospace structures are subjected to extreme loading conditions during their operation which can cause catastrophic results that can lead to human and/or financial losses. To minimize the risk, digital twinning concept for the purpose of structural health monitoring can be a very suitable choice. There are currently various digital twinning approaches with different advantages and applications. In this study,  inverse Finite Element Method (iFEM) [1-3] will be utilised for this purpose. iFEM works in a way that it can transform discrete strain sensor data to full field information so that digital twin of the structure can be established. The full field information can be in any form including displacements, strains, and stresses. Based on this information and using suitable failure criteria, potential damages can be identified, and necessary actions can be taken to prevent catastrophic damage. In this presentation, various representative aerospace structures will be considered and tested for both isotropic and composite material systems. Collected sensor data will be processed by using iFEM methodology to establish the digital twin of the structure. The applicability of the iFEM methodology for aerospace applications will be discussed.

References:

[1] Tessler, A. and Spangler, J.L., 2005. A least-squares variational method for full-field reconstruction of elastic deformations in shear-deformable plates and shells. Computer methods in applied mechanics and engineering, 194(2-5), pp.327-339.

[2] Kefal, A., Oterkus, E., Tessler, A. and Spangler, J.L., 2016. A quadrilateral inverse-shell element with drilling degrees of freedom for shape sensing and structural health monitoring. Engineering science and technology, an international journal, 19(3), pp.1299-1313.

[3] Kefal, A., Tessler, A. and Oterkus, E., 2017. An enhanced inverse finite element method for displacement and stress monitoring of multilayered composite and sandwich structures. Composite Structures, 179, pp.514-540.

Presenting Author: Hasan Huseyin Camuz cezeri artificial intelligence and robotics technologies

Presenting Author Biography: Hasan Huseyin Camuz is an Engineer, he has been working as Engineer in Baykar Industry company for four years, he is working on Structural Health Monitoring currently.