Special Issue "Uncertainty Quantification in Aerospace Engineering"

A special issue of Aerospace (ISSN 2226-4310).

Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 3380

Special Issue Editor

Prof. Dr. Zhiping Qiu
E-Mail Website
Guest Editor
Institute of Solid Mechanics, School of Aeronautic Science and Engineering, Beihang University, Beijing, China
Interests: non-probabilistic set theory; computational solid mechanics; aeroelastic mechanics; random vibration; structural reliability design; durability/damage tolerance design; non-linear problems in mechanics; intelligent material structure and composites mechanics

Special Issue Information

Dear Colleagues,

With the development of science and technology, engineers have been devoted to developing advanced aerospace vehicles and systems with more functions and higher performances. As a practical matter, real aerospace systems are inevitably confronted with multiple sources of uncertainty arising from modeling errors, material discrepancy, machining tolerance and environmental variations during the processes of design, manufacture and service. Hence, Uncertainty Quantification (UQ) is a crucial aspect in the reliability or robust design of aerospace structures and systems. However, the lack of knowledge or experimental data, the coupling between different physical fields and the expensive computational cost of high-fidelity simulation make UQ and model validation extremely challenging. A series of problems of interest are expected to be well solved, such as rational modeling of uncertain parameters based on limited experience and experimental data, compatibility and consistency between different uncertain models, importance measure of uncertain variables, estimation of uncertainty propagation in multidisciplinary systems, reliability evaluation of structures and systems with uncertainties, optimization performed in the context of uncertainty, model calibration, verification and validation, etc.

This Special Issue welcomes papers on the following topics: 1) uncertainty characterization, 2) compatibility and consistency of different uncertain models, 3) uncertainty quantification and model validation in aerospace engineering, 4) global sensitivity analysis of uncertain variables, 5) uncertainty propagation in single disciplinary/multidisciplinary systems (including perturbation method, optimization approach, surrogate model method, sampling approach, hybrid algorithm, etc.), and 6) reliability/robust analysis and optimization of aerospace structures and systems. We hope this Special Issue will keep inspiring scholars and engineers to develop more effective and efficient UQ technologies for improving the credibility and consistency of simulation-based analyses and designs in aerospace engineering.

Prof. Dr. Zhiping Qiu
Guest Editor

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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.


  • Uncertainty quantification
  • Uncertainty propagation
  • Sensitivity analysis
  • Model verification and validation
  • Reliability analysis and optimization
  • Robust analysis and optimization
  • Aerospace engineering

Published Papers (1 paper)

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Uncertainty Quantification of the Effects of Small Manufacturing Deviations on Film Cooling: A Fan-Shaped Hole
Aerospace 2019, 6(4), 46; https://doi.org/10.3390/aerospace6040046 - 19 Apr 2019
Cited by 10 | Viewed by 2943
The film cooling holes in the blade of modern gas turbines have commonly been manufactured by laser drilling, Electric Discharge Machining (EDM), and Additive Manufacturing (AM) in recent years. These manufacturing processes often result in small geometric deviations, such as conical angles, filleted [...] Read more.
The film cooling holes in the blade of modern gas turbines have commonly been manufactured by laser drilling, Electric Discharge Machining (EDM), and Additive Manufacturing (AM) in recent years. These manufacturing processes often result in small geometric deviations, such as conical angles, filleted edges, and diameter deviations of the hole, which can lead to deviations on the distribution of adiabatic cooling effectiveness (η) values, the value of the discharge coefficient (Cd), and the characteristic of the in-hole flow field. The current study employed flat plate fan-shaped film cooling holes with length-to-diameter values (L/D) equal to 3.5 and six to investigate the effects of these manufacturing deviations on the distribution of η values, the value of Cd, and the characteristic of in-hole flow field. An Uncertainty Quantification (UQ) analysis using the Polynomial Chaos Expansion (PCE) model was carried out to quantify the uncertainty in the values of η and Cd. The statistical characteristics (mean values, standard deviation (Std) values, and Probability Density Function (PDF) values) of η and Cd were also calculated. The results show that conical angle deviations exert no visible changes on the value of η. However, the Cd value decreases by 6.2% when the conical angle changes from 0–0.5°. The area averaged adiabatic cooling effectiveness ( η = ) decreases by 3.4%, while the Cd increases by 15.2% with the filleted edge deviation existing alone. However, the deviation value of η = is 7.6%, and that of Cd is 25.7% with the filleted edge deviation and the diameter deviation existing. Full article
(This article belongs to the Special Issue Uncertainty Quantification in Aerospace Engineering)
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