TY - GEN
T1 - Aerostructural design optimization of a 100-passenger regional jet with surrogate-based mission analysis
AU - Liem, Rhea P.
AU - Mader, Charles A.
AU - Lee, Edmund
AU - Martins, Joaquim R.R.A.
PY - 2013
Y1 - 2013
N2 - In this paper we present a coupled aerostructural optimization procedure for the design of a fuelefficient regional aircraft configuration. A detailed mission analysis is performed on an optimized flight mission profile to accurately compute the mission range, fuel burn, and flight time. The mission analysis procedure is designed to allow flexible mission profiles including those with a variety of cruise, climb and descent segments in the profile. The direct operating cost (DOC) is computed based on the mission characteristics (fuel weight, range, and time), and is then used as the objective function in the optimization problem. We use a coupled aerostructural solver comprised of a high-fidelity structural solver and medium-fidelity aerodynamic solver to solve for the static aeroelastic shape of the lifting surfaces. Due to the large computational cost associated with these solvers, "kriging with a trend" surrogate models are employed to approximate the aerodynamic force and moment coefficients required in the mission analysis. This approach is demonstrated in two DOC minimization cases: a mission profile optimization with a fixed geometry, and an aerostructural optimization with fixed, previously optimized mission profiles for a 100-passenger regional jet aircraft.
AB - In this paper we present a coupled aerostructural optimization procedure for the design of a fuelefficient regional aircraft configuration. A detailed mission analysis is performed on an optimized flight mission profile to accurately compute the mission range, fuel burn, and flight time. The mission analysis procedure is designed to allow flexible mission profiles including those with a variety of cruise, climb and descent segments in the profile. The direct operating cost (DOC) is computed based on the mission characteristics (fuel weight, range, and time), and is then used as the objective function in the optimization problem. We use a coupled aerostructural solver comprised of a high-fidelity structural solver and medium-fidelity aerodynamic solver to solve for the static aeroelastic shape of the lifting surfaces. Due to the large computational cost associated with these solvers, "kriging with a trend" surrogate models are employed to approximate the aerodynamic force and moment coefficients required in the mission analysis. This approach is demonstrated in two DOC minimization cases: a mission profile optimization with a fixed geometry, and an aerostructural optimization with fixed, previously optimized mission profiles for a 100-passenger regional jet aircraft.
UR - https://www.scopus.com/pages/publications/85054430240
U2 - 10.2514/6.2013-4372
DO - 10.2514/6.2013-4372
M3 - Conference Paper published in a book
AN - SCOPUS:85054430240
SN - 9781624102257
T3 - 2013 Aviation Technology, Integration, and Operations Conference
BT - 2013 Aviation Technology, Integration, and Operations Conference
PB - American Institute of Aeronautics and Astronautics Inc.
T2 - 2013 Aviation Technology, Integration, and Operations Conference
Y2 - 12 August 2013 through 14 August 2013
ER -