2012
DOI: 10.2514/1.42565
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Multiobjective Optimization of Earth-Entry Vehicle Heat Shields

Abstract: A differential evolutionary algorithm has been executed to optimize the hypersonic aerodynamic and stagnationpoint heat transfer performance of Earth-entry heat shields for manned and unmanned missions. Objective functions comprise maximizing cross range, minimizing heat flux, and minimizing heat load. Each considered heatshield geometry is composed of an axial profile tailored to fit a base cross section. Axial profiles consist of spherical segments, spherically blunted cones, and power law geometries. Heat-s… Show more

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Cited by 4 publications
(2 citation statements)
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“…There are also many other EAs or MOEAs adopted to address the HASOs. 9,[13][14][15][16] Recently, a different MOEA framework called the multiobjective evolutionary algorithm based on decomposition (MOEA/D) 17 has attracted many attentions in the evolutionary computation area and some application fields. [18][19][20][21][22][23][24] MOEA/D decomposes the MOP in question into a number of single objective optimization subproblems and then optimizes them in a collaborative manner.…”
Section: Optimization Algorithmmentioning
confidence: 99%
“…There are also many other EAs or MOEAs adopted to address the HASOs. 9,[13][14][15][16] Recently, a different MOEA framework called the multiobjective evolutionary algorithm based on decomposition (MOEA/D) 17 has attracted many attentions in the evolutionary computation area and some application fields. [18][19][20][21][22][23][24] MOEA/D decomposes the MOP in question into a number of single objective optimization subproblems and then optimizes them in a collaborative manner.…”
Section: Optimization Algorithmmentioning
confidence: 99%
“…The system-level analysis tool combines this impact analysis module with four other modules such that all the pertinent physics affecting the vehicle's performance can be rapidly evaluated. The four other modules are a structural dynamics module [8], a thermal protection shield (TPS) module [9], an aerodynamics module [10], and a thermal soak module [11]. In the impact analysis module material properties, composite fiber orientations, material thicknesses, user-defined foam properties, impact orientation, impact sphere (IS) size, trajectory, and payload mass, all can be quickly modified, thereby enabling a large array of analyses to be conducted automatically using the software tool under development by Samareh et al Because of the large computational cost of running hundreds or even thousands of simulations, extra consideration was taken to ensure the methodology was computationally inexpensive without excessive loss of accuracy.…”
mentioning
confidence: 99%