2014
DOI: 10.1016/j.actaastro.2013.08.006
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Optimization of entry-vehicle shapes during conceptual design

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Cited by 32 publications
(10 citation statements)
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“…Tudat is applicable to a broad range of topics, and has been used for, among others, simulations of solar system dynamics (Dirkx et al, 2018), interplanetary trajectory design (Musegaas, 2013), planetary system dynamics (Kumar et al, 2015;Dirkx et al, 2016), space debris impact predictions (Ronse and Mooij, 2014) and atmospheric re-entry (Dirkx and Mooij, 2014).…”
Section: Appendix a Relations Between Rotation Representationsmentioning
confidence: 99%
“…Tudat is applicable to a broad range of topics, and has been used for, among others, simulations of solar system dynamics (Dirkx et al, 2018), interplanetary trajectory design (Musegaas, 2013), planetary system dynamics (Kumar et al, 2015;Dirkx et al, 2016), space debris impact predictions (Ronse and Mooij, 2014) and atmospheric re-entry (Dirkx and Mooij, 2014).…”
Section: Appendix a Relations Between Rotation Representationsmentioning
confidence: 99%
“…The above circumstances may conflict with the adoption of a fully reusable TPS, eventually restricting the choice of insulating materials and penalizing the total mass [5]. However, antithetical requirements between room for the payload, weight, and vehicle operability demand a trade-off between vehicle shape and TPS sizing.…”
Section: Introductionmentioning
confidence: 99%
“…However, antithetical requirements between room for the payload, weight, and vehicle operability demand a trade-off between vehicle shape and TPS sizing. In preliminary design practice, thousands of design configurations are typically evaluated by an optimization algorithm to find the best fit [5][6][7][8][9][10]. As a consequence, a preliminary appraisal of vehicle performances is commonly performed using high-efficiency, low-order fidelity methods that give support to a multidisci-plinary analysis performed with a computational effort which fit the typical timeline of the conceptual design phase [11].…”
Section: Introductionmentioning
confidence: 99%
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“…This requirement may conflict with the adoption of a fully reusable TPS, either limiting the choice of material category or penalizing the total mass. In preliminary design practice, thousands of design configurations are typically evaluated by an optimization algorithm to find the best fit [5][6][7][8][9][10][11]. Therefore, a preliminary appraisal of vehicle performances is commonly performed using high-efficiency, low-order fidelity methods that give a support to a multidisciplinary analysis performed with a computational effort which fit the typical timeline of the conceptual design phase [11].…”
Section: Introductionmentioning
confidence: 99%