Investigation of Modeling Approaches to High-Fidelity Computational Predictions of Tiltrotor / Obstacle Aerodynamic Interactions

A new framework for performing high-fidelity computational aeromechanics simulations of the V-22 tiltrotor aircraft in vertical take-off and landing mode has been developed. It is built on the HPCMP CREATE-AV Helios tool and utilizes scripted input generation and automatic replacement of modular model components. This new framework has been used to investigate the impact of various approaches to modeling the rotor and obstacle aerodynamics on predictions of aircraft performance in hover near a large ground obstacle. This work builds upon the results of a previous study of modeling fidelity requirements for predicting hover performance in ground effect. The findings indicate that a medium-fidelity simulation utilizing actuator line blades and an immersed boundary obstacle can provide rotor performance predictions and flow field features with comparable accuracy to a fully-meshed approach. Analysis of the physical phenomena in these recirculating flows and a brief analysis into the mechanisms for rotor performance loss are also provided. The computational framework accurately captures trends in rotor loads and airframe download from flight test data within approximately 5%. The medium-fidelity approach required 83% fewer computational resources, representing a 6X speedup.

Authors

Publication Details

Published
2025-05-20
DOI
https://doi.org/10.4050/f-0081-2025-80
Primary Topic
Aerodynamics and Fluid Dynamics Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of Modeling Approaches to High-Fidelity Computational Predictions of Tiltrotor / Obstacle Aerodynamic Interactions

Alex Moushegian, Andrew Bodling, David Farish, Eric Hayden
Aerodynamics and Fluid Dynamics Research
article

Investigation of Modeling Approaches to High-Fidelity Computational Predictions of Tiltrotor / Obstacle Aerodynamic Interactions

Alex Moushegian, Andrew Bodling, David Farish, Eric Hayden
article en

Abstract

A new framework for performing high-fidelity computational aeromechanics simulations of the V-22 tiltrotor aircraft in vertical take-off and landing mode has been developed. It is built on the HPCMP CREATE-AV Helios tool and utilizes scripted input generation and automatic replacement of modular model components. This new framework has been used to investigate the impact of various approaches to modeling the rotor and obstacle aerodynamics on predictions of aircraft performance in hover near a large ground obstacle. This work builds upon the results of a previous study of modeling fidelity requirements for predicting hover performance in ground effect. The findings indicate that a medium-fidelity simulation utilizing actuator line blades and an immersed boundary obstacle can provide rotor performance predictions and flow field features with comparable accuracy to a fully-meshed approach. Analysis of the physical phenomena in these recirculating flows and a brief analysis into the mechanisms for rotor performance loss are also provided. The computational framework accurately captures trends in rotor loads and airframe download from flight test data within approximately 5%. The medium-fidelity approach required 83% fewer computational resources, representing a 6X speedup.

Openalex Percentile: Top 79%
Aerodynamics and Fluid Dynamics Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.