An efficient implementation of aeroelastic tailoring based on efficient computational fluid dynamics-based reduced order model

Abstract

Current and future trends in the aerospace industry leverage on the potential benefits provided by lightweight materials that can be tailored to realize desired mechanical characteristics when loaded. For aircraft design, the deployment of aeroelastic tailoring is hindered by the need to re-compute, for any possible modification of the structure, the dependence of the aerodynamic field on the underlying structural properties. To make progress in this direction, the work presents a rapid computational fluid dynamics based aeroelastic tool which is built around a reduced order model for the aerodynamics that is updated for any modification of the structure by using the structural dynamics reanalysis method. The aeroelastic tailoring tool is demonstrated in transonic flow for the AGARD 445.6 wing, suitably modified with composite materials. It was found that the proposed method provides accurate engineering predictions for the aeroelastic response and stability when the structure is modified from the baseline model.

Aeroelastic tailoring for aerospace applications

“… The review is short and does not cite many works; however, it may serve as a starting point for new researchers in the domain of aeroelasticity. 2019 Li et al [ 66 ] An efficient implementation of aeroelastic tailoring based on efficient computational fluid dynamics-based reduced order model A quick reduced order CFD-model-based aeroelastic tailoring instrument employed a structural dynamics re-analysis technique to update the analysis results for any structural design change. The prediction of aeroelastic behaviour and stability accurately for structural modifications against the baseline configuration of AGARD 445.6 wing under transonic flow conditions while economizing the computational costs.…”

An efficient reduced-order framework for active/passive hybrid flutter suppression

“…We have been developed and implemented an efficient aeroelastic CFD-based POD/ROM [34], which avoids the burden of reconstructing CFD-based POD/ROMs associated the exact model. The efficient aeroelastic CFD-based POD/ROM has been successfully applied to passive flutter suppression with high accuracy and efficiency, such as aeroelastic tailoring [35] and aeroelastic structural optimisation [36]. However, most of above-mentioned studies only considered the CFD-based ROMs for active or passive flutter suppression alone.…”

Numerical Analysis of the Flow around Two Square Cylinders in a Tandem Arrangement with Different Spacing Ratios Based on POD and DMD Methods

“…Lumley [13] introduced the Proper Orthogonal Decomposition (POD) method for the first time in the study of turbulence, using the modes extracted from POD to identify the coherent structure of turbulence, these modes are ordered by energy, it combines the coherent structure and energy of turbulence. Compared with other identification methods, POD can clearly identify the dominant flow mode in the flow field [12] In the past several decades, POD has been widely used in the decomposition and reconstruction of wind pressure on the surface of structures [14][15][16], coherent and turbulent process analysis [17][18][19][20][21], and the establishment of a reduced-order model [22] of fluid-structure interaction (FSI). Among these, Kikitsu [18] used PIV to obtain the image of the three-dimensional vibrating square cylinder wake region, and then extracted the dominant structure of the flow field in the cylinder vortex-induced vibration through POD.…”