Cyrille Vidy, Lukas Katzenmeier, Maximilian Winter, Christian Breitsamter

DOI Number: N/A

Conference number: IFASD-2017-205

This paper presents several methods which are useful to reduce the number of small-disturbance CFD computations needed for the production of more accurate datasets for aeroelastic analyses in early aircraft development. The first method presented here is an AIC-correction technique using the results of a few small-disturbance CFD computations in order to generate downwash correction matrices for panel methods such as Doublet-Lattice or ZONA51 in MSC-NASTRAN [5]. The other two methods are based on a component-wise modal basis-technique similar to branch-mode techniques [3] and on the reuse of the modal basis of a given mass-state of an aircraft for dynamic and aeroelastic analyses at other mass states. All these methods are proven to be efficient, accurate and robust, and the authors show the potential reduction of the computational effort for concrete analysis cases by means of a generic MALE-configuration: OptiMALE.

Read the full paper here

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.