Modeling of the blade crossover interaction using machine learning

Kalki Sharma, Vidullan Surenderan, Yin Yu, Daning Huang, Kenneth Brentner, Phuriwat Anusonti-Inthra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, 3D Computational Fluid Dynamic (CFD) rotorcraft simulations are able to account for blade crossover interaction (BCI) events, which are impulsive loading events that have a large influence on the vibrations and acoustics of a vehicle. Unfortunately, lower fidelity models are unable to adequately predict the BCI events and 3D CFD simulations are computationally expensive. This paper proposes a surrogate model that is able to predict the BCI event with reasonable accuracy and high computational efficiency for a subset of operating conditions. A dataset was created using transient 2D CFD simulations of airfoils moving toward each other in close proximity. The Mach number, angle-of-attack of each airfoil, along with the vertical separation distance between airfoils was varied in each simulation. An additional dependent parametric input (airfoil horizontal separation distance) was recorded along with the transient loads on the airfoils. This dataset was used in a supervised manner to train univariate (UV) and multivariate (MV) implementations of the Gaussian Process Regression model. Given airfoil operating conditions, the models are able to predict the BCI events. Hyper-parameters such as kernels and trend functions were compared using 5-fold cross validation and the final MV and UV models were compared on a held out test set to demonstrate predictive performance on unseen data.

Original languageEnglish (US)
Title of host publication77th Annual Vertical Flight Society Forum and Technology Display, FORUM 2021
Subtitle of host publicationThe Future of Vertical Flight
PublisherVertical Flight Society
ISBN (Electronic)9781713830016
StatePublished - 2021
Event77th Annual Vertical Flight Society Forum and Technology Display: The Future of Vertical Flight, FORUM 2021 - Virtual, Online
Duration: May 10 2021May 14 2021

Publication series

Name77th Annual Vertical Flight Society Forum and Technology Display, FORUM 2021: The Future of Vertical Flight

Conference

Conference77th Annual Vertical Flight Society Forum and Technology Display: The Future of Vertical Flight, FORUM 2021
CityVirtual, Online
Period5/10/215/14/21

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering

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