Multiphysics Design of Structural Components for Aerospace Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Aerospace Science and Engineering".
Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 1125
Special Issue Editors
Interests: finite element analysis; plasticity; rocket propulsion; reduced-order modeling
Special Issues, Collections and Topics in MDPI journals
Interests: multiphysics; thermal analysis; thermal management; fluid-structure interaction; stress analysis; fatigue assessment; lightweight design; structural optimization
Interests: space propulsion; plasma physics; magnetic field optimization for plasma propulsion; cryogenic propellants
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The design of structural components for aeronautical and space applications is very challenging since it generally involves several physics fields such as fluid dynamics, heat transfer (convection, radiation, and conduction), elastoplasticity, creep, and so on, that can interact. Then, those physical problems can be coupled, in a weak or strong way, or uncoupled. In the past, several approaches have been developed with the aim of obtaining accurate solutions, but they are usually very expensive for problems that are strongly coupled.
As such, this Special Issue is devoted to the study of numerical multiphysics analysis and the design of novel approaches able to minimize computation time while not losing accuracy. Particular emphasis can be given to the design of thrust chambers for liquid, hybrid, or solid rocket engines where a multiphysics approach is needed. In addition, works in which the physics involved in the problem are studied in the same numerical framework are welcome. Finally, numerical approaches to simplify the numerical model by means of surrogate and reduced-order models are strongly appreciated since they provide the possibility, for example, to minimize the weight of the component in a reasonable computation time.
Dr. Michele Ferraiuolo
Dr. Daniele Ricci
Dr. Francesco Battista
Guest Editors
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Keywords
- coupled problems
- numerical modeling
- model-based approach
- data-driven approach
- reduced-order modeling
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