The Rbf4aero Benchmark Technology Platform

Abstract

Abstract. This paper presents the RBF4AERO benchmark technology platform, developed in the framework of the EU-funded RBF4AERO project. The platform enables the so-called Benchmark Management System (BMS) used for benchmark submission and results reporting. The BMS is deployed using three modules, namely the Graphical User Interface (GUI), the Workflow Manager (WM) and the Benchmarking Database System (BDS) which cooperate during the whole optimization benchmark life-cycle. The GUI is the only component which interacts with the end-user. It enables the optimization benchmark submission, along with the progress, results and computational platform resources monitoring. The configuration of the Optimization (OT) and the Morpher Tool (MT) is a pre-requisite for the optimization benchmark submission. In an optimization scenario the WM, which is practically the controller of the system, queries the OT in order to get a table of samples and gives back the results of the simulator (for instance a CFD tool). The evaluated individuals serve as training patterns of a Response Surface Model (RSM) which is, then, used for an Evolutionary Algorithms based optimization. The resulting 'optimal' solution(s) are delivered back to the WM for re-evaluation on the CFD tool. For each evaluation on the CFD tool, when a new geometrical shape is required, the computational grid is morphed using the MT based on radial basis functions. 4156Massimo Bernaschi et al.

Radial Basis Functions Vector Fields Interpolation for Complex Fluid Structure Interaction Problems

“…With the same strategy an efficient shape optimization can be carried on FSI cases in which the design variation influences the flow but has a limited impact on the structural behavior. As an example of this class of problems, the optimization carried within the EU FORTISSIMO 2 project [54] on the Piaggio Aerospace Avanti EVO aircraft is here shown, taking advantage of the RBF4AERO optimization platform [55]. Thanks to the multi-solver feature of the method proposed, in this case the CFD simulation was carried on SU2, while the structural problem was solved in Nastran.…”

Flexible Engineering Toward Green Aircraft

“…Object of RBF4AERO was the development of a benchmark technology numerical platform for aircraft design setting up methodologies based on RBF mesh morphing techniques [2] (Fig. 2).…”

Fast high fidelity CFD/CSM fluid structure interaction using RBF mesh morphing and modal superposition method

“…The modal superposition approach using RBF can be efficiently employed also for the shape optimisation of structures in which the geometrical variation has a limited influence on the structural behaviour but is relevant from a fluid dynamic perspective. An example of this application was performed within the EU FORTISSIMO 2 project (Costa et al , 2018) on the Piaggio Aerospace Avanti EVO aircraft, adopting the rbf4aeroFSI solver based on the modal superposition method, implemented in the RBF4AERO optimisation platform (Bernaschi et al , 2016). With the goal of improving the efficiency of the aircraft, three shape parameters focussing on the winglet geometry were employed, namely the cant, sweep and twist angles, as shown in Figure 7 right.…”