Analysis of Aircraft Survivability Against Fragmenting Warhead Threat

Author(s):  
Hüseyin E. Konokman ◽  
Altan Kayran ◽  
Mustafa Kaya
1978 ◽  
Author(s):  
R. Smith ◽  
A. S. Soltes ◽  
J. K. Wetzel ◽  
L. R. Doyon

2019 ◽  
Vol 56 (6) ◽  
pp. 2131-2143
Author(s):  
Aristeidis Antonakis ◽  
Theoklis Nikolaidis ◽  
Pericles Pilidis

Author(s):  
Yu Zhao ◽  
Shijie Zheng

Aircraft infrared signature is one of the most important properties for the military aircraft survivability. In terms of military aircraft, the exhaust system is the most significant infrared radiation source. The exhaust system accounts for more than 90% of the aircraft infrared radiation, and that the exhaust nozzle contributes the most significant infrared radiation of the whole radiation energy provided by the exhaust system from the rear aspect. Low detectionable feature for military aircraft has attracted more importance to promote aircraft survivability via reducing infrared signature. The alteration of nozzle exit area affects an aircraft engine performance; meanwhile, it severely influences the engine infrared signature radiation from the rear side. The present paper is mainly focused on searching an appropriate group of nozzle exit diameter and throat to exit diameter ratio, which can reduce infrared signature radiation while cutting down the loss of thrust. Hence, objectives involve two aspects: one is minimum infrared signature level, and the other is minimum thrust loss. The multi-objective evolutionary algorithm based on decomposition has been employed to solve this bi-objective optimization problem. The optimization results illustrate that dimension selection range and throat to exit diameter ratio exert more important effect on the thrust loss and infrared signature level. Furthermore, the thrust plays significant role for deciding nozzle exit diameter and throat diameter.


Author(s):  
N. Sarigul-Klijn ◽  
R. Rapetti ◽  
I. Lopez ◽  
A. Jordon ◽  
M. Sarigul-Klijn ◽  
...  

An algorithm is developed that generates statistically optimal flight trajectory to a best landing site after occurrence of an in-flight distress condition using an abort probability model. The approach developed increases overall survivability by minimizing the expected flight path distance, given the abort probability model. An airport grouping strategy that clumps the airports logically prior to path derivation is also developed. The performance of this newly developed probabilistic trajectory algorithm is evaluated using numerical simulations that include variable failure rates to simulate different in-flight distress conditions, and multiple turns to accommodate realistic trajectories. The results show that it is possible by using this algorithm to increase aircraft survivability.


2009 ◽  
Vol 46 (1) ◽  
pp. 223-229 ◽  
Author(s):  
Xu Wang ◽  
Bi-Feng Song ◽  
Yi-Fan Hu

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