Roger Ballester Claret, Nicolo Fabbiane, Christian Fagiano, Cedric Julien, Didier Lucor

DOI Number: N/A

Conference number: IFASD-2024-017

Composite materials are essential in aerospace engineering due to their superior strength-to-weight ratio. This work explores the reliability-based design optimisation of composite plates under aeroelastic constraints with a focus on cost efficiency. We utilise a simplified approach focusing on generating surrogate models through conditioned Gaussian Processes, which predict various aeroelastic responses like flutter speed, gust loads, and static forces. These models help in the effective navigation of the composite design space. We introduce a 5 step optimisation algorithm in which we prioritise minimising the gust response and structure mass while adhering to predefined limits on flutter and strain. The proposed approach not only simplifies the optimisation process but also enhances the understanding and reliability of composite material design in aerospace applications, aiming for improved safety and performance.

Read the full paper here

In Categories: 1. IFASD 2024, 1.Events, Computational Aeroelasticity
Email
Print
LinkedIn
The paper above was part of  proceedings of a CEAS event and as such the author has signed a publication agreement to have their paper published in the repository. In the case this paper is found somewhere else CEAS always links to the other source.  CEAS takes great care in making the correct content available to the reader. If any mistakes are found  in the listings please contact us directly at papers@aerospacerepository.org and we will correct the listing promptly.  CEAS cannot be held liable either for mistakes in editorial or technical aspects, nor for omissions, nor for the correctness of the content. In particular, CEAS does not guarantee completeness or correctness of information contained in external websites which can be accessed via links from CEAS’s websites. Despite accurate research on the content of such linked external websites, CEAS cannot be held liable for their content. Only the content providers of such external sites are liable for their content. Should you notice any mistake in technical or editorial aspects of the CEAS site, please do not hesitate to inform us.