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E. Menga, B. Masiá Cabañes, R. Abarca López, "Sparse-Data Hybrid Modelling for Aircraft Fatigue Loads", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Thirteenth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 13, Paper 1.2, 2026, doi:10.4203/ccc.13.1.2

Keywords: dynamic responses, optimization technique, hybrid data-driven, surrogate model, fatigue life, sparse sensor placement.

Abstract

The structural fatigue life of the doors' interfaces could be affected by the unsteady flow which might induce a buffeting phenomena on the doors. This work aims to capture such complex physics by using both flight test data and a computational model. Often the amount of sensors available in a FT is limited and consequently not sufficient to complete and validate completely the design. Because of that the required set of outputs is completed by employing a Finite Element Model. Because of the unsteady aerodynamics loads are unknown, this complementary approach is based on the idea of training the numerical model in order to match, in a least-square sense, the Finite Element Model (FEM) and the Flight Test (FT) Quantities of Interest (QoIs) at known instrumented locations. The results show a robust approach which might be instrumental for an accurate prediction of the doors' vibration loads.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 13 PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 1.2 Sparse-Data Hybrid Modelling for Aircraft Fatigue Loads E. Menga, B. Masiá Cabañes and R. Abarca López Airbus Operations SL, Madrid, Spain doi:10.4203/ccc.13.1.2 Full Bibliographic Reference for this paper E. Menga, B. Masiá Cabañes, R. Abarca López, "Sparse-Data Hybrid Modelling for Aircraft Fatigue Loads", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Thirteenth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 13, Paper 1.2, 2026, doi:10.4203/ccc.13.1.2 Keywords: dynamic responses, optimization technique, hybrid data-driven, surrogate model, fatigue life, sparse sensor placement. Abstract The structural fatigue life of the doors' interfaces could be affected by the unsteady flow which might induce a buffeting phenomena on the doors. This work aims to capture such complex physics by using both flight test data and a computational model. Often the amount of sensors available in a FT is limited and consequently not sufficient to complete and validate completely the design. Because of that the required set of outputs is completed by employing a Finite Element Model. Because of the unsteady aerodynamics loads are unknown, this complementary approach is based on the idea of training the numerical model in order to match, in a least-square sense, the Finite Element Model (FEM) and the Flight Test (FT) Quantities of Interest (QoIs) at known instrumented locations. The results show a robust approach which might be instrumental for an accurate prediction of the doors' vibration loads. download the full-text of this paper (PDF, 5317 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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