Helicopter aeroelastic analysis with spatially uncertain rotor blade properties

Murugan, S., Chowdhury, R., Adhikari, S. and Friswell, M.I. (2012) Helicopter aeroelastic analysis with spatially uncertain rotor blade properties. Aerospace Science and Technology, 16(1), pp. 29-39. (doi: 10.1016/j.ast.2011.02.004)

Abstract

This paper investigates the effects of spatially uncertain material properties on the aeroelastic response predictions (e.g., rotating frequencies, vibratory loads, etc.) of composite helicopter rotor. Initially, the spatial uncertainty is modeled as discrete random variables along the blade span and uncertainty analysis is performed with direct Monte Carlo simulations (MCS). Uncertainty effects on the rotating frequencies vary with the higher-order modes in a non-linear way. Each modal frequency is found to be more sensitive to the uncertainty at certain sections of the rotor blade than uncertainty at other sections. Uncertainty effects on the vibratory hub load predictions are studied in the next stage. To reduce the computational expense of stochastic aeroelastic analysis, a high-dimensional model representation (HDMR) method is developed to approximate the aeroelastic response as functions of blade stiffness properties which are modeled as random fields. Karhunen–Loève expansion and a lower-order expansion are used to represent the input and outputs, respectively, in the HDMR formulation which is similar to the spectral stochastic finite element method. The proposed method involves the approximation of the system response with lower-dimensional HDMR, the response surface generation of HDMR component functions, and Monte Carlo simulation. The proposed approach decouples the computationally expensive aeroelastic simulations and uncertainty analysis. MCS, performed with computationally less expensive HDMR models, shows that spatial uncertainty has considerable influence on the vibratory hub load predictions.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Adhikari, Professor Sondipon
• Authors: Murugan, S., Chowdhury, R., Adhikari, S., and Friswell, M.I.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: Aerospace Science and Technology
• Publisher: Elsevier
• ISSN: 1270-9638