High Fidelity Nonlinear Aeroelastic Analysis for Scaled Vehicle Design

2012 ◽  
Author(s):  
Anthony Ricciardi ◽  
Charles Eger ◽  
Robert Canfield ◽  
Mayuresh Patil ◽  
Ned Lindsley
Keyword(s):  
Vehicle Design ◽  
High Fidelity ◽  
Aeroelastic Analysis

scholarly journals High-Fidelity Fin–Actuator System Modeling and Aeroelastic Analysis Considering Friction Effect

2021 ◽  
Vol 11 (7) ◽  
pp. 3057
Author(s):  
Jin Lu ◽  
Zhigang Wu ◽  
Chao Yang
Keyword(s):  
System Modeling ◽  
Past Research ◽  
High Fidelity ◽  
Aeroelastic Stability ◽  
Aeroelastic Analysis ◽  
Structural Nonlinearities ◽  
Flutter Boundary ◽  
Actuator System ◽  
Friction Models ◽  
Comparison Of The Results

Both the dynamic characteristics and structural nonlinearities of an actuator will affect the flutter boundary of a fin–actuator system. The actuator models used in past research are not universal, the accuracy is difficult to guarantee, and the consideration of nonlinearity is not adequate. Based on modularization, a high-fidelity modeling method for an actuator is proposed in this paper. This model considers both freeplay and friction, which is easy to expand. It can be directly used to analyze actuator characteristics and perform aeroelastic analysis of fin–actuator systems. Friction can improve the aeroelastic stability, but the mechanism of its influence on the aeroelastic characteristics of the system has not been reported. In this paper, the LuGre model, which can better reflect the friction characteristics, was integrated into the actuator. The influence of the initial condition, freeplay, and friction on the aeroelastic characteristics of the system was analyzed. The comparison of the results with the previous research shows that oversimplified friction models are not accurate enough to reflect the mechanism of friction’s influence. By changing the loads, material, and geometry of contact surfaces, flutter can be effectively suppressed, and the power loss caused by friction can be minimized.

Vehicle Design Using High-fidelity Virtual Prototyping

1998 ◽  
Author(s):  
Jim Kozlowski ◽  
Chandra Prasad ◽  
Marc Serughetti
Keyword(s):  
Virtual Prototyping ◽  
Vehicle Design ◽  
High Fidelity

Possibility-Based Multidisciplinary Optimisation For Electric-Powered Unmanned Aerial Vehicle Design

2015 ◽  
Vol 119 (1221) ◽  
pp. 1397-1414 ◽  
Author(s):  
N. V. Nguyen ◽  
J.-W. Lee ◽  
M. Tyan ◽  
D. Lee
Keyword(s):  
Design Space ◽  
Point Of View ◽  
Vehicle Design ◽  
High Fidelity ◽  
Performance Parameters ◽  
Piston Engine ◽  
Design Variables ◽  
Aerial Vehicle ◽  
And Performance ◽  
System Point

AbstractThis paper describes a possibility-based multidisciplinary optimisation for electric-powered unmanned aerial vehicles (UAVs) design. An in-house integrated UAV (iUAV) analysis program that uses an electric-powered motor was developed and validated by a Predator A configuration for aerodynamics, weight, and performance parameters. An electric-powered propulsion system was proposed to replace a piston engine and fuel with an electric motor, power controllers, and battery from an eco-system point of view. Moreover, an in-house Possibility-Based Design Optimisation (iPBDO) solver was researched and developed to effectively handle uncertainty variables and parameters and to further shift constraints into a feasible design space. A sensitivity analysis was performed to reduce the dimensions of design variables and the computational load during the iPBDO process. Maximising the electric-powered UAV endurance while solving the iPBDO yields more conservative, but more reliable, optimal UAV configuration results than the traditional deterministic optimisation approach. A high fidelity analysis was used to demonstrate the effectiveness of the process by verifying the accuracy of the optimal electric-powered UAV configuration at two possibility index values and a baseline.

scholarly journals High fidelity CFD-CSD aeroelastic analysis of slender bladed horizontal-axis wind turbine

2016 ◽  
Vol 753 ◽  
pp. 042009 ◽  
Author(s):  
M. Sayed ◽  
Th. Lutz ◽  
E. Krämer ◽  
Sh. Shayegan ◽  
A. Ghantasala ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Horizontal Axis ◽  
High Fidelity ◽  
Horizontal Axis Wind Turbine ◽  
Aeroelastic Analysis

Research on a Multi-Fidelity Surrogate Model Based Model Updating Strategy

2018 ◽  
Author(s):  
Ping Wang ◽  
Qingmiao Wang ◽  
Xin Yang ◽  
Zhenfei Zhan
Keyword(s):  
Surrogate Model ◽  
Model Simulation ◽  
Side Impact ◽  
Computational Time ◽  
Vehicle Design ◽  
Surface Model ◽  
High Fidelity ◽  
Fe Model ◽  
Simulation Data ◽  
Full Vehicle

In vehicle design modeling and simulation, surrogate model is commonly used to replace the high fidelity Finite Element (FE) model. A lot of simulation data from the high-fidelity FE model are utilized to construct an accurate surrogate model requires. However, computational time of FE model increases significantly with the growing complexities of vehicle engineering systems. In order to attain a surrogate model with satisfactory accuracy as well as acceptable computational time, this paper presents a model updated strategy based on multi-fidelity surrogate models. Based on a high-fidelity FE model and a low-fidelity FE model, an accurate multi-fidelity surrogate model is modeled. Firstly, the original full vehicle FE model is simplified to get a sub-model with acceptable accuracy, and it is able to capture the essential behaviors in the vehicle side impact simulations. Next, a primary response surface model (RSM) is built based on the simplified sub-model simulation data. Bayesian inference based bias term is modeled using the difference between the high-fidelity full vehicle FE model simulation data and the primary RSM running results. The bias is then incorporated to update the original RSM. This method can enhance the precision of surrogate model while saving computational time. A real-world side impact vehicle design case is utilized to demonstrate the validity of the proposed strategy.

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