Optimization of sparse sensor placement for estimation of wind direction and surface pressure distribution using time-averaged pressure-sensitive paint data on automobile model
نویسندگان
چکیده
This study proposes a method for predicting the wind direction against simple automobile model (Ahmed model) and surface pressure distributions on it by using data-driven optimized sparse sensors. Positions of sensor pairs Ahmed were selected estimation yaw angle reconstruction based time-averaged database various angles, whereas symmetric sensors in left right sides assumed. The obtained pressure-sensitive paint measurements. Three algorithms selection greedy algorithm applied, positions optimized. accuracy three compared evaluated. results show that few can accurately predict distributions.
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ژورنال
عنوان ژورنال: Journal of Wind Engineering and Industrial Aerodynamics
سال: 2022
ISSN: ['0167-6105', '1872-8197']
DOI: https://doi.org/10.1016/j.jweia.2022.105043