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Development of methods for deriving optimized shapes of morphing structures considering both aerodynamic performances and specific mechanical morphing boundary conditions

Total Cost €


EC-Contrib. €






Project "OPTIMOrph" data sheet

The following table provides information about the project.


Organization address
postcode: 35137
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 350˙725 €
 EC max contribution 350˙725 € (100%)
 Programme 1. H2020-EU. (ITD Airframe)
 Code Call H2020-CS2-CFP04-2016-02
 Funding Scheme CS2-RIA
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2019-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HIT09 SRL IT (PADOVA PD) coordinator 236˙850.00
2    SWANSEA UNIVERSITY UK (SWANSEA) participant 113˙875.00


 Project objective

The OPTIMOrph project addresses the development of a robust and reliable numerical optimization methodology able to identify target shapes for deflected positions of morphing structures based on optimal aerodynamic characteristics (i.e. basically lift and drag), while taking into account in a consistent way feasibility issues related to mechanical considerations and material properties. This is actually a requirement very specific to morphing structures, where the mechanical feasibility and complexity is one of the key features to be taken into consideration throughout the design process. The project objectives will be achieved through the implementation of a general multi-disciplinary, multi-objective, multi-constrained optimization procedure able to enhance aerodynamic performance in a compliant way with the pertinent morphing mechanisms and materials limitations, thus enabling the implementation of a step-change in the design of morphing structures. In OPTIMOrph, a multi-fidelity approach will be adopted, in which a high-fidelity FSI solver will be used for reconstruction of a surrogate model (low-fidelity), which in turn will assist a very advanced optimization engine where GAs featuring unique operators are included. This approach will ensure that the optimal solutions achieved are accurate and reliable, while keeping the computational effort within acceptable limits also for an industrial application. The methodology implemented in OPTIMOrph will contribute to the inclusion of morphing technologies since the very early stages of the aircraft design process and will open unprecedented design opportunities to be applied either to re-engineering of current aircraft or to completely new upcoming aircraft architectures. Although very general, the procedure will be applied to a morphing wing leading edge, and a series of optimal indications will be delivered for implementing an integrated aerodynamic/structural proof of concept.


List of deliverables.
Publications and Information on Dissemination Activities Documents, reports 2020-02-19 16:53:11
Dissemination and Exploitation Plan Documents, reports 2020-02-19 16:53:10

Take a look to the deliverables list in detail:  detailed list of OPTIMOrph deliverables.


year authors and title journal last update
List of publications.
2019 Andrea Magrini, Ernesto Benini, Rita Ponza, Chen Wang, Hamed Khodaparast, Michael Friswell, Volker Landersheim, Dominik Laveuve, Conchin Contell Asins
Comparison of Constrained Parameterisation Strategies for Aerodynamic Optimisation of Morphing Leading Edge Airfoil
published pages: 31, ISSN: 2226-4310, DOI: 10.3390/aerospace6030031
Aerospace 6/3 2020-02-19
2019 C Wang, H Haddad Khodaparast, MI Friswell, A Magrini, R Ponza, E Benini, V Landersheim, D Laveuve, C Contell Asins
Conceptual-level evaluation of a variable stiffness skin for a morphing wing leading edge
published pages: 95441001985557, ISSN: 0954-4100, DOI: 10.1177/0954410019855576
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 2020-02-19

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The information about "OPTIMORPH" are provided by the European Opendata Portal: CORDIS opendata.

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