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Editorial Board Members' Collection Series: Fluid and Structures Research

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Fluid Science and Technology".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 3313

Special Issue Editors

Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China
Interests: composite structures; buckling analysis; digital twin; data driven method; optimization design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ONERA/DTIS, Université de Toulouse, 31000 Toulouse, France
Interests: safety engineering; uncertainty management in complex aerospace systems (reliability, sensitivity analysis, surrogate modeling, etc.)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Research on structures and fluids plays an important role in a wide range of industries including aerospace, civil engineering, automotive, architecture, and mechanical engineering. Along with the rapid development of analytical, numerical, and experimental technology, many novel studies about fluid and structures research have been carried out and many meaningful conclusions have been drawn.

We are pleased to announce this collection titled “Editorial Board Members' Collection Series: Fluid and Structures Research”. This Special Issue will be a collection of papers by researchers invited by the editorial board members.
The aim is to provide a venue for networking and communication between Applied Sciences and scholars in the field of Fluid and Structures Research. All papers will be published fully open access after peer review.

Dr. Kuo Tian
Prof. Dr. Jérôme Morio
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • advanced structural design
  • structural analysis and optimization
  • data-driven method for structures
  • digital twin for structures

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Published Papers (2 papers)

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Research

33 pages, 15419 KiB  
Article
A Comparison of Local and Global Strategies for Exploiting Field Inversion on Separated Flows at Low Reynolds Number
by Luca Muscarà, Marco Cisternino, Andrea Ferrero, Andrea Iob and Francesco Larocca
Appl. Sci. 2024, 14(18), 8382; https://doi.org/10.3390/app14188382 - 18 Sep 2024
Viewed by 761
Abstract
The prediction of separated flows at low Reynolds numbers is crucial for several applications in aerospace and energy fields. Reynolds-averaged Navier–Stokes (RANS) equations are widely used but their accuracy is limited in the presence of transition or separation. In this work, two different [...] Read more.
The prediction of separated flows at low Reynolds numbers is crucial for several applications in aerospace and energy fields. Reynolds-averaged Navier–Stokes (RANS) equations are widely used but their accuracy is limited in the presence of transition or separation. In this work, two different strategies for improving RANS simulations by means of field inversion are discussed. Both strategies require solving an optimization problem to identify a correction field by minimizing the error on some measurable data. The obtained correction field is exploited with two alternative strategies. The first strategy aims to the identification of a relation that allows to express the local correction field as a function of some local flow features. However, this regression can be difficult or even impossible because the relation between the assumed input variables and the local correction could not be a function. For this reason, an alternative is proposed: a U-Net model is trained on the original and corrected RANS results. In this way, it is possible to perform a prediction with the original RANS model and then correct it by means of the U-Net. The methodologies are evaluated and compared on the flow around the NACA0021 and the SD7003 airfoils. Full article
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23 pages, 9624 KiB  
Article
Fast Vibration Reduction Optimization Approach for Complex Thin-Walled Shells Accelerated by Global Proper Orthogonal Decomposition Reduced-Order Model
by Yongxin Shi, Zhao Ke, Wei Sun, Peng Zhang, Qiang Yang and Kuo Tian
Appl. Sci. 2023, 13(1), 472; https://doi.org/10.3390/app13010472 - 29 Dec 2022
Cited by 1 | Viewed by 1769
Abstract
A fast vibration reduction optimization approach accelerated by the global proper orthogonal decomposition (POD) reduced-order model (ROM) is proposed, aiming at increasing the efficiency of frequency response analysis and vibration reduction optimization of complex thin-walled shells. At the offline stage, the global POD [...] Read more.
A fast vibration reduction optimization approach accelerated by the global proper orthogonal decomposition (POD) reduced-order model (ROM) is proposed, aiming at increasing the efficiency of frequency response analysis and vibration reduction optimization of complex thin-walled shells. At the offline stage, the global POD ROM is adaptively updated using the sample configurations generated by the CV (cross validation)–Voronoi sequence sampling method. In comparison to the traditional direct sampling method, the proposed approach achieves higher global prediction accuracy. At the online stage, the fast vibration reduction optimization is performed by combining the surrogate-based efficient global optimization (EGO) method and the proposed ROM. Two representative examples are carried out to verify the effectiveness and efficiency of the proposed approach, including examples of an aerospace S-shaped curved stiffened shell and a Payload Attach Fitting. The results indicate that the proposed approach achieves high prediction accuracy and efficiency through the verification by FOM and obtains better optimization ability over the direct optimization method based on FOM. Full article
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