کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5473044 | 1520071 | 2017 | 42 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Reduced order unsteady aerodynamic model of a rigid aerofoil in gust encounters
ترجمه فارسی عنوان
نظم کاهش یافته مدل آیرودینامیکی ناپایدار هوافویل سفت و سخت در مواجهه با ضربه
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کلمات کلیدی
بار خستگی دینامیک سیالات محاسباتی، مدل سفارش کاهش یافته، آیرودینامیک ناپایدار،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
چکیده انگلیسی
Predicting gust loads using computational fluid dynamics is prohibitively expensive and unrealistic for parametric searches. This work presents the development, implementation, and demonstration of a reduced order model which balances accuracy and speed. The model builds on a proper orthogonal decomposition representation of the linearised time-domain equations and achieves a further reduction in size through a balanced truncation. The novelty of the work lies in the mechanism to introduce any arbitrary gust shape within the reduced order model framework. The methodology combines an analytical formulation, loosely based on the Küssner function, and a numerical approach to identify, or optimise, the unknown parameters of the analytical ansatz. A model problem is investigated for various gust shapes for incompressible and transonic flows. It is found that: (i) the generation of the reduced order model is equivalent to about two steady-state analyses; (ii) the predictions of the reduced order model are in good to excellent agreement with the reference solution; and (iii) the reduced order model achieves a consistent speed-up of about 300 times compared to time integrating the original equations. The reduced order model is parametric with respect to the gust disturbance, and may be employed for the worst-case-gust search without extra costs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 63, April 2017, Pages 203-213
Journal: Aerospace Science and Technology - Volume 63, April 2017, Pages 203-213
نویسندگان
Qiang Zhou, Gang Chen, Andrea Da Ronch, Yueming Li,