Title: Optimal Shape Design of Nozzel under Uncertainty in Input
Publish place: Conference on New Findings in Aerospace and Related Sciences
Publish Year: 1394
Type: Conference paper
Language: English
View: 943
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
MAARS01_292
Index date: 6 March 2016
Title: Optimal Shape Design of Nozzel under Uncertainty in Input abstract
In the present paper, optimal shape design of the Nozzel is considered under stochastic input flow and model uncertainty as an uncertain source. Uncertainties are considered to be random field. The paper studies general formulation of the Nozzel design and states the problem in the optimal control formulation. The problem is transformed to a fixed domain and Lagrangian method is applied to drive the optimality system. Random fields are approximated by Karhunen-Loeve expansion and collocation method with Smolyak type sparse grid is implemented for uncertainty quantification and reducing the course of dimensionality. An Academic example is studied and results are presented.
Title: Optimal Shape Design of Nozzel under Uncertainty in Input Keywords:
Title: Optimal Shape Design of Nozzel under Uncertainty in Input authors
Ali Nehrani
Department of Applied Mathematics, Faculty of Mathematical science , University of Guilan, Rasht , Iran
Mohammad Keyanpour
Department of Applied Mathematics, Faculty of Mathematical science , University of Guilan, Rasht , Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :