Structural Design Optimization of a Tiltrotor Aircraft Composite Wing to Enhance Whirl Flutter Stability
Publication: Research - peer-review › Journal article – Annual report year: 2013
Standard
Structural Design Optimization of a Tiltrotor Aircraft Composite Wing to Enhance Whirl Flutter Stability. / Kim, Taeseong; Kim, Jaehoon; Shin, Sang Joon; Kom, Do-Hyung.
In: Composite Structures, Vol. 95, 2013, p. 283–294.Publication: Research - peer-review › Journal article – Annual report year: 2013
Harvard
APA
CBE
MLA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Structural Design Optimization of a Tiltrotor Aircraft Composite Wing to Enhance Whirl Flutter Stability
A1 - Kim,Taeseong
A1 - Kim,Jaehoon
A1 - Shin,Sang Joon
A1 - Kom,Do-Hyung
AU - Kim,Taeseong
AU - Kim,Jaehoon
AU - Shin,Sang Joon
AU - Kom,Do-Hyung
PB - Elsevier Ltd.
PY - 2013
Y1 - 2013
N2 - In order to enhance the aeroelastic stability of a tiltrotor aircraft, a structural optimization framework is developed by applying a multi-level optimization approach. Each optimization level is designed to achieve a different purpose; therefore, relevant optimization schemes are selected for each level. Enhancement of the aeroelastic stability is selected as an objective in the upper-level optimization. This is achieved by seeking the optimal structural properties of a composite wing, including its mass, vertical, chordwise, and torsional stiffness. In the upper-level optimization, the response surface method (RSM), is selected. On the other hand, lower-level optimization seeks to determine the local detailed cross-sectional parameters, such as the ply orientation angles and ply thickness, which are relevant to the wing structural properties obtained at the upper-level. To avoid manufacturing difficulties, only a few discrete ply orientation angles and an integral number of plies are considered as constraints. A genetic algorithm is selected as the optimizer at the lower-level. Use of the upper-level optimization causes a 13-18% increase in the flutter speed when compared to the baseline configuration. In the lower-level optimization, the optimization results were obtained considering the resulting failure margin and the location of the shear center.
AB - In order to enhance the aeroelastic stability of a tiltrotor aircraft, a structural optimization framework is developed by applying a multi-level optimization approach. Each optimization level is designed to achieve a different purpose; therefore, relevant optimization schemes are selected for each level. Enhancement of the aeroelastic stability is selected as an objective in the upper-level optimization. This is achieved by seeking the optimal structural properties of a composite wing, including its mass, vertical, chordwise, and torsional stiffness. In the upper-level optimization, the response surface method (RSM), is selected. On the other hand, lower-level optimization seeks to determine the local detailed cross-sectional parameters, such as the ply orientation angles and ply thickness, which are relevant to the wing structural properties obtained at the upper-level. To avoid manufacturing difficulties, only a few discrete ply orientation angles and an integral number of plies are considered as constraints. A genetic algorithm is selected as the optimizer at the lower-level. Use of the upper-level optimization causes a 13-18% increase in the flutter speed when compared to the baseline configuration. In the lower-level optimization, the optimization results were obtained considering the resulting failure margin and the location of the shear center.
KW - Multi-level optimization
KW - Response surface method
KW - Tiltrotor aircraft
KW - Whirl flutter analysis
KW - Composite wing
U2 - 10.1016/j.compstruct.2012.08.019
DO - 10.1016/j.compstruct.2012.08.019
JO - Composite Structures
JF - Composite Structures
SN - 0263-8223
VL - 95
SP - 283
EP - 294
ER -