Advances in Landing Systems Engineering

Dear Colleagues,

The take-off and landing of an aircraft are critical and complex processes involving several systems such as landing gear, airport infrastructure and air traffic management. The words “landing systems” hence refer not only to the engineering concepts found in the physical landing gear but the whole framework of complex systems surrounding this part of the aircraft and its operation.

The maturity of aircraft design has led to lighter aircraft fuselage and thinner wings, as well as quieter engines. The development of Landing Gear is, however, lagging due to that technological improvements of other aircraft parts cannot be directly transferred to the undercarriage (e.g., the use of composites). However, recent advances in technologies such as numerical and experimental methods, AI, optimization, control and modelling, together with new manufacturing techniques open up the design space for landing gear components. In addition, new propulsion systems, motivated by the decarbonization of air travel, provide an opportunity for development of novel airframes and landing systems.

Landing Systems Engineering is a multidisciplinary topic involving a wide range of disciplines, spanning from Molecular Dynamics to Systems Integration, hence a broad spectrum of engineering disciplines overlaps, and requires intense collaboration between scientists and engineers in different fields. The goal of this Special Issue is to collect advances in the field encompassing all aspects of the complex landing system. One enabler of the Landing Systems development is the establishment of new design criteria by transforming the empirical-based landing gear into a digital-model based product, hence enabling a systems-of-systems approach, and to provide opportunities for optimization and adoption of new materials and technologies.

Prof. Dr. Martin Skote
Dr. Craig Lawson
Guest Editors

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• landing gear systems
• mechanical engineering
• novel materials
• optimization
• multiphysics
• interdisciplinary
• noise
• systems engineering
• prognostics and health management