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 4087

Special Issue Editors


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Guest Editor
College of Engineering, Swansea University, Swansea SA1 8EN, UK
Interests: linear and nonlinear structural dynamics; aeroelasticity; model updating/identification; energy harvesting; uncertainty modelling and analysis in aerospace engineering; morphing aircraft

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Guest Editor
Faculty of Science and Engineering, Swansea University, Swansea SA1 8EN, UK
Interests: morphing aircraft; structural dynamics; structural health monitoring; rotordynamics; smart structures; nonlinear dynamics
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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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Model updating/calibration
  • Uncertainty propagation
  • Uncertainty identification
  • Uncertainty modelling
  • Static
  • Structural dynamics
  • Aeroelasticity
  • Structural joint
  • Aircraft design

Published Papers (1 paper)

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Research

26 pages, 5857 KiB  
Article
On the Effects of Structural Coupling on Piezoelectric Energy Harvesting Systems Subject to Random Base Excitation
by Hamidreza Masoumi, Hamid Moeenfard, Hamed Haddad Khodaparast and Michael I. Friswell
Aerospace 2020, 7(7), 93; https://doi.org/10.3390/aerospace7070093 - 04 Jul 2020
Cited by 3 | Viewed by 3487
Abstract
The current research investigates the novel approach of coupling separate energy harvesters in order to scavenge more power from a stochastic point of view. To this end, a multi-body system composed of two cantilever harvesters with two identical piezoelectric patches is considered. The [...] Read more.
The current research investigates the novel approach of coupling separate energy harvesters in order to scavenge more power from a stochastic point of view. To this end, a multi-body system composed of two cantilever harvesters with two identical piezoelectric patches is considered. The beams are interconnected through a linear spring. Assuming a stochastic band limited white noise excitation of the base, the statistical properties of the mechanical response and those of the generated voltages are derived in closed form. Moreover, analytical models are derived for the expected value of the total harvested energy. In order to maximize the expected generated power, an optimization is performed to determine the optimum physical and geometrical characteristics of the system. It is observed that by properly tuning the harvester parameters, the energy harvesting performance of the structure is remarkably improved. Furthermore, using an optimized energy harvester model, this study shows that the coupling of the beams negatively affects the scavenged power, contrary to the effect previously demonstrated for harvesters under harmonic excitation. The qualitative and quantitative knowledge resulting from this analysis can be effectively employed for the realistic design and modelling of coupled multi-body structures under stochastic excitations. Full article
(This article belongs to the Special Issue Probabilistic Modelling and Identification in Aircraft Structures)
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