Probabilistic Modelling and Identification in Aircraft Structures
A special issue of Aerospace (ISSN 2226-4310).
Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 4762
Special Issue Editors
Interests: linear and nonlinear structural dynamics; aeroelasticity; model updating/identification; energy harvesting; uncertainty modelling and analysis in aerospace engineering; morphing aircraft
Interests: morphing aircraft; structural dynamics; structural health monitoring; rotordynamics; smart structures; nonlinear dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Increasing computational power in recent years has enabled the use of more detailed and sophisticated numerical models in the process of aircraft structural design. This is the way forward in the creation of physical prototypes that perform as expected with no re-design required. In conventional design, additional ad-hoc epistemic safety factors are used by designers because of the difficulty in quantifying those uncertainties and nonlinearities. This practice results in either an excessively conservative design or an unsafe design. In recent years, there has been considerable progress in quantifying the influence of uncertainty in the process of aircraft structural design. This has been complemented by calibrating stochastic models that represent the scatter of measured data. To this end, stochastic model updating methods have been developed and their main objective is to estimate the ranges or distributions of the updating structural parameters using measured variability in output data.
This Special Issue is focused on recent methods developed for uncertainty modelling, propagation and identification in aircraft structures. Research papers both from academia and industry are considered. Papers in the area of stochastic modelling, propagation and identification in aircraft structure components, aeroelasticity and aircraft design can fit very well in this Special Issue.
Dr. Hamed Haddad Khodaparast
Prof. Dr. Michael I. Friswell
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- Model updating/calibration
- Uncertainty propagation
- Uncertainty identification
- Uncertainty modelling
- Static
- Structural dynamics
- Aeroelasticity
- Structural joint
- Aircraft design
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