Development of an Artificial Neural Network Based Analysis Method for Skin-Stringer Structures

Date

2017-09-26

Author

Cankur, Anıl
Gürses, Ercan

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URI

https://hdl.handle.net/11511/85637

Conference Name

7th EASN International Conference on Innovation in European Aeronautics Research, (26 - 29 Eylül 2017)

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Unverified, Conference / Seminar

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Development of an artificial neural network based analysis method for skin-stringer structures Cankur, Anıl; Gürses, Ercan; Department of Aerospace Engineering (2017) The purpose of this work is to develop a tool for the design of skin-stringer structures. The tool to be developed needs to quickly identify the load carrying capacity and weight of these structures. For this purpose, finite element (FE) models of 1440 different skin-stringer structures were created with a script written in Python 2.7, and these models were analyzed using the commercial FE program ABAQUS. The script was used to construct the model, analyze the model, calculate the buckling load, the collaps...
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Citation Formats

A. Cankur and E. Gürses, “Development of an Artificial Neural Network Based Analysis Method for Skin-Stringer Structures,” presented at the 7th EASN International Conference on Innovation in European Aeronautics Research, (26 - 29 Eylül 2017), Warszawa, Polonya, 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/85637.