Multifidelity domain-aware learning for the design of re-entry vehicles

@article{DiFiore2021MultifidelityDL,
  title={Multifidelity domain-aware learning for the design of re-entry vehicles},
  author={Francesco Di Fiore and Paolo Maggiore and L. Mainini},
  journal={Structural and Multidisciplinary Optimization},
  year={2021},
  volume={64},
  pages={3017 - 3035}
}
The multidisciplinary design optimization (MDO) of re-entry vehicles presents many challenges associated with the plurality of the domains that characterize the design problem and the multi-physics interactions. Aerodynamic and thermodynamic phenomena are strongly coupled and relate to the heat loads that affect the vehicle along the re-entry trajectory, which drive the design of the thermal protection system (TPS). The preliminary design and optimization of re-entry vehicles would benefit from… 
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References

SHOWING 1-10 OF 71 REFERENCES

Robust design of Mars entry micro-probe with evidence theory and multi-fidelity strategies

Purpose – A multi-disciplinary robust design optimization method for micro Mars entry probe (no more than 0.8 m in diameter) is proposed. The purpose of this paper is to design a Mars entry probe,

Multidisciplinary Design Optimization of a Deorbit Maneuver Considering Propulsion, TPS, and Trajectory

The results show that simultaneous optimization is more efficient in comparison with single discipline optimization such as TPS optimization or deorbit propulsion system (propulsion and propellant) optimization.

Multidisciplinary Design Optimization of the Shape and Trajectory of a Reentry Vehicle

In this paper, the results for the optimal conceptual design of a reentry vehicle’s shape and trajectory are presented. The general problem is decomposed into disciplinary subsystems that perform

Multidisciplinary and Multifidelity Design Optimization of Electric Vehicle Battery Thermal Management System

A general variable fidelity-based multidisciplinary design optimization (MDO) architecture is developed and optimizes the BTMS by considering different systems/disciplines from the systemic perspective and shows that the variable-fidelity MDO can balance the characteristics of the low fidelity mathematical models and the computationally expensive simulations, and find the optimal solutions efficiently and accurately.

Heat Transfer Analysis for a Winged Reentry Flight Test Bed

In this paper we deal with the aero-heating analysis of a reentry flight demonstrator helpful to the research activities for the design and development of a possible winged Reusable Launch Vehicle.

Design Optimization of an Unmanned Underwater Vehicle Using Low- and High-Fidelity Models

The framework of a design optimization framework extended to deal with high-fidelity estimates derived through seamless integration of computer-aided design, meshing and computational fluid dynamics analysis tools i.e., computer aided 3-D interactive application, ICEM, and FLUENT is extended.

Multi-Fidelity Global-Local Optimization of a Transonic Compressor Rotor

A multi-fidelity global-local approach is presented and applied to the surrogate-based design optimization of a highly-loaded transonic compressor rotor, yielding significant increase in performance within a dozen of optimization iterations.

Multidisciplinary design optimization for hybrid electric vehicles: component sizing and multi-fidelity frontal crashworthiness

A multidisciplinary design optimization (MDO) framework for the preliminary design of a power-split HEV powertrain accounting for crashworthiness requirements is proposed and benefits in terms of global solution feasibility and associated computational cost are achieved.

Multifidelity metamodel building as a route to aeroelastic optimization of flexible wings

High-fidelity aeroelastic simulations of the response of flexible wings to a sudden gust can result in a huge computing effort, making the search for the best wing design prohibitively expensive. As

Multi-fidelity efficient global optimization: Methodology and application to airfoil shape design

A novel and flexible way to use multi-fidelity information sources optimally in the context of airfoil shape optimization using both Xfoil and ADflow using both Bayesian optimization and kriging metamodeling is proposed.
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