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Aerospace Vehicle Design under Uncertainties

This special issue belongs to the section “Aerospace Science and Engineering“.

Special Issue Information

Dear colleagues,

The design of aerospace vehicles is a complex process involving numerous disciplines (aerodynamics, propulsion, trajectory, structure, etc.). These disciplines have to be tightly coupled into a multidisciplinary design process to handle their interactions. Moreover, the design of such systems usually involves different phases, from early design up to detailed design. These phases are characterized by their own level of knowledge (e.g., fidelity of the models, maturity of the technologies, system environment and specifications). This results in  the need to handle different types of uncertainties (epistemic and aleatory) at the different design phases to provide robust and reliable aerospace concepts. The handling of uncertainty in the design of aerospace vehicles is an open research area that requires developments in key topics such as uncertainty modeling, uncertainty propagation, reliability analysis or optimization under uncertainty. This Special Issue covers these research fields as well as innovative applications of uncertainty quantification techniques to aerospace vehicles.

Dr. Mathieu Balesdent
Dr. Loïc Brevault
Prof. Dr. Jérôme Morio
Guest Editors

Manuscript Submission Information

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Keywords

  • multidisciplinary design optimization
  • reliability analysis
  • uncertainty quantification
  • reliability-based design optimization
  • design under uncertainty
  • machine learning
  • multifidelity modeling
  • uncertainty propagation
  • sensitivity analysis
  • nonprobabilistic methods

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Appl. Sci. - ISSN 2076-3417