Assessment of a Nonlinear Unsteady Vortex Lattice-Vortex Particle Method for Predicting Helicopter Rotor/Multirotor Aerodynamics
Jinbin Fu, Eric Laurendeau
TL;DR
This work tackles the challenge of efficiently predicting rotorcraft aerodynamics by developing NL-UVLM-VPM, a mid-fidelity solver that couples a nonlinear unsteady vortex-lattice method with a mesh-free vortex-particle wake stabilized by a viscous-inviscid $\alpha$-coupling against a 2D RANS database and a Vreman SGS-based LES model. It introduces an adaptive wake-particle conversion and a multiple-reference-frame kinematic formulation to enable forward flight and multi-rotor interactions, and validates the approach against experiments and URANS across hover, forward flight, and multi-rotor configurations. Results show good agreement in aerodynamic loads and wake structures while achieving over two orders of magnitude reduction in computational cost, demonstrating strong potential for rapid rotorcraft design, parametric studies, and unsteady wake analysis. The framework lays the groundwork for future extensions to complex tip geometries, rotor-fuselage interactions, and multidisciplinary effects such as aeroelasticity and icing, enabled by the $\alpha$-coupled, stripwise approach.
Abstract
This study presents a nonlinear unsteady vortex lattice-vortex particle method (NL-UVLM-VPM) for the efficient prediction of helicopter rotor aerodynamics. The approach couples a nonlinear unsteady vortex lattice method for aerodynamic modeling with a mesh-free vortex particle method for wake evolution. Nonlinear viscous effects, derived from two-dimensional Reynolds-Averaged Navier-Stokes (RANS) sectional data, are incorporated through a low-cost viscous-inviscid alpha-coupling algorithm. To stabilize wake development, the Vreman eddy-viscosity subgrid-scale model is integrated with the particle strength exchange (PSE) method within a large eddy simulation (LES) framework, enabling robust and accurate resolution of the wake coherent, transient, and turbulent breakdown regions. The solver further includes a novel adaptive particle conversion technique, reducing computational wall-clock time by nearly 70%, and a multiple-reference-frame kinematics formulation, allowing simulations of complex flight conditions such as forward flight and multi-rotor interactions. Validation against experimental and unsteady RANS (URANS) data for three representative benchmark cases shows good agreement in aerodynamic loads and wake structures. Moreover, the NL-UVLM-VPM achieves comparable accuracy to URANS, with over two orders of magnitude reduction in computational cost, demonstrating its potential as a reliable and efficient tool for rotorcraft aerodynamic studies.
