Modeling Projectile Damage in Transport Aircraft Wing Structures

2006 ◽  
Author(s):  
Ronald Hinrichsen ◽  
Alex Kurtz ◽  
John Wang ◽  
Christine Belcastro ◽  
Jeffrey Parks
Keyword(s):  
Aircraft Wing ◽  
Transport Aircraft ◽  
Wing Structures

Optimum Design of Wing Structures With Multiple Frequency Constraints

1987 ◽  
Author(s):  
V. B. Venkayya ◽  
R. V. Grandhi
Keyword(s):  
Structural Design ◽  
Large Scale ◽  
Optimality Criterion ◽  
Multiple Frequency ◽  
Aircraft Wing ◽  
Design Problems ◽  
Frequency Constraints ◽  
Transport Aircraft ◽  
Scaling Procedure ◽  
Wing Structures

Abstract In this paper, design optimization of aircraft wing structures with multiple frequency constraints is considered. An optimality criterion algorithm along with a scaling procedure has been used. Large scale structural design problems were considered for demonstrating the reliability and efficiency of the algorithm. A simplified fighter wing, an intermediate complexity wing, and a large wing typical of a transport aircraft were considered as design examples. Design histories and the first few frequencies at the initial and final conditions are presented.

Modeling Projectile Damage in Transport Aircraft Wing Structures

AIAA Journal ◽  
2008 ◽  
Vol 46 (2) ◽  
pp. 328-335 ◽  
Author(s):  
Ronald L. Hinrichsen ◽  
Alex G. Kurtz ◽  
John T. Wang ◽  
Christine M. Belcastro ◽  
Jeffrey L. Parks
Keyword(s):  
Aircraft Wing ◽  
Transport Aircraft ◽  
Wing Structures

scholarly journals A finite element parametric modeling technique of aircraft wing structures

2013 ◽  
Vol 26 (5) ◽  
pp. 1202-1210 ◽  
Author(s):  
Jiapeng Tang ◽  
Ping Xi ◽  
Baoyuan Zhang ◽  
Bifu Hu
Keyword(s):  
Finite Element ◽  
Parametric Modeling ◽  
Modeling Technique ◽  
Aircraft Wing ◽  
Wing Structures

Conceptual Design Optimization With Economic Uncertainty: An Application to Interactions Between Designers and Airlines

2014 ◽  
Author(s):  
Garrett Waycaster ◽  
Christian Bes ◽  
Volodymyr Bilotkach ◽  
Christian Gogu ◽  
Raphael Haftka ◽  
...  
Keyword(s):  
Asymmetric Information ◽  
Design Optimization ◽  
Operating Costs ◽  
Economic Uncertainty ◽  
Aircraft Wing ◽  
Design Decisions ◽  
Transport Aircraft ◽  
Sources Of Uncertainty ◽  
Optimal Decisions ◽  
Engineering Problems

Many engineering problems involve interactions between multiple decisions makers, or stakeholders, each with their own objectives and uncertainties. Considering these interactions during design optimization allows us to account for new sources of uncertainty, which we refer to as economic uncertainty. In this paper, we consider an application of optimization considering interactions between aircraft designers and airlines based on the design of a commercial transport aircraft wing. We consider that the aircraft designer makes their design decisions first, and therefore must predict the reaction of the airline. We focus on the effect of two economic uncertainties: uncertainty that would normally only affect the airline and uncertainty due to asymmetric information, or errors in the designers’ understanding of the airlines’ preferences. We find that these uncertainties play a significant role in the optimal decisions by both airlines and designers. We also show that asymmetric information may actually be beneficial for both stakeholders in certain cases, where both players benefit from the aircraft designer underestimating the operating costs of the airline.

scholarly journals Application of an Efficient Gradient-Based Optimization Strategy for Aircraft Wing Structures

Aerospace ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 3 ◽  
Author(s):  
Odeh Dababneh ◽  
Timoleon Kipouros ◽  
James Whidborne
Keyword(s):  
Optimization Strategy ◽  
Aircraft Wing ◽  
Wing Structures ◽  
Gradient Based

A case for multi-level optimisation in aeronautical design

1999 ◽  
Vol 103 (1028) ◽  
pp. 481-485 ◽  
Author(s):  
G. M. Robinson ◽  
A. J. Keane
Keyword(s):  
Computational Cost ◽  
Design Tool ◽  
Test Bed ◽  
Design Environment ◽  
Aircraft Wing ◽  
Computing Power ◽  
Transport Aircraft ◽  
Estimation Algorithms ◽  
Multi Level ◽  
Optimisation Algorithms

Abstract This paper discusses how the inevitable limitations of computing power available to designers has restricted adoption of optimisation as an essential design tool. It is argued that this situation will continue until optimisation algorithms are developed which utilise the range of available analysis methods in a manner more like human designers. The concept of multi-level algorithms is introduced and a case made for their adoption as the way forward. The issues to be addressed in the development of multi-level algorithms are highlighted. The paper goes on to discuss a system developed at Southampton University to act as a test bed for multi-level algorithms deployed on a realistic design task. The Southampton University multi-level wing design environment integrates drag estimation algorithms ranging from an empirical code to an Euler CFD code, covering a 150,000 fold difference in computational cost. A simple multi-level optimisation of a civil transport aircraft wing is presented.

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