Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Development of an artificial neural network based analysis method for skin-stringer structures
Date
2017
Author
Cankur, Anıl
Metadata
Show full item record
Item Usage Stats
263
views
0
downloads
Cite This
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 collapse load and the total mass, and collect the ABAQUS analysis results. The input parameters and analysis results of these 1440 model were used to create an artificial neural network (ANN) in the MATLAB NNTOOL toolbox for fast determination of the buckling load, the collapse load, and the weight of the skin-stringer assemblies that have not yet been created. The performance of the generated ANN was shown in comparison with FE results.
Subject Keywords
Airframes.
,
Buckling (Mechanics).
,
Finite element method.
,
Neural networks (Computer science).
URI
hhttp://etd.lib.metu.edu.tr/upload/12621475/index.pdf
https://hdl.handle.net/11511/26691
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Kirişle Güçlendirilmiş Kabuk Yapılar İçin Yapay Sinir Ağ Bazlı Analiz Yöntemi Geliştirilmesi
Cankur, Anıl; Gürses, Ercan (2017-09-05)
Bu çalışmanın amacı, kirişle güçlendirilmiş kabuk yapıların tasarımına yönelik bir araç geliştirmektir. Geliştirilecek aracın bu yapıların yük taşıma kapasitesini ve ağırlığını hızlı şekilde belirlemesi gerekmektedir. Bu amaçla, Python 2.7 programı kullanılarak yazılmış bir betikle 1440 farklı güçlendirilmiş kabuk yapının sonlu elemanlar (SE) modeli oluşturulmuş ve ticari SE programı olan ABAQUS kullanılarak bu modeller analiz edilmiştir. Yazılan betik, modelin oluşturulması, modelin analizi, burkulma yükün...
A New Design Approach for Rapid Evaluation of Structural Modifications Using Neural Networks
Demirkan, O.; Olceroglu, E.; BAŞDOĞAN, FATMA İPEK; Özgüven, Hasan Nevzat (2013-02-01)
Design optimization of structural systems is often iterative, time consuming and is limited by the knowledge of the designer. For that reason, a rapid design optimization scheme is desirable to avoid such problems. This paper presents and integrates two design methodologies for efficient conceptual design of structural systems involving computationally intensive analysis. The first design methodology used in this paper is structural modification technique (SMT). The SMT utilizes the frequency response funct...
Development of a passive vibration isolation analysis and optimization software for mechanical systems
Baytemir, Ozan Yavuz; Ciğeroğlu, Ender; Özgen, Gökhan Osman; Department of Mechanical Engineering (2014)
In the design stage of a mechanical structure, the effects of vibration are taken into consideration as important design criteria. In order to eliminate the adverse effects of vibration sources, a direct intervention to the vibration source, structural reinforcement or the use of vibration isolators are encountered as the most popular vibration control methods. Among all, being compact, low cost, reliable and maintenance free, elastomeric passive vibration isolators with linear properties are examined withi...
Assessing potential environmental impact and construction cost of reclaimed masonry walls
ÜÇER ERDURAN, DENİZ; Elias Özkan, Soofia Tahira; Ulybin, Aleksey (Springer Science and Business Media LLC, 2020-01-01)
Purpose The recovery of building materials and their reuse in new construction should be considered during the design stage of every new project. This study was conducted to quantify the potential environmental impacts and the economic feasibility of reusing waste material in new constructions with an applicable design solution. Methods Wall pieces reclaimed from the demolition debris of a historic building in St. Petersburg, Russia, were inspected for potential reuse, and their mechanical strengths were de...
Development of bolted flange design tool based on finite element analysis and artificial neural network
Yıldırım, Alper; Kayran, Altan; Department of Aerospace Engineering (2015)
In bolted flange connections, commonly utilized in aircraft engine designs, structural integrity and minimization of the weight are achieved by the optimum combination of the design parameters utilizing the outcome of many structural analyses. Bolt size, number of bolts, bolt locations, casing thickness, flange thickness, bolt preload, and axial external force are some of the critical design parameters in bolted flange connections. Theoretical analysis and finite element analysis (FEA) are two main approach...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. Cankur, “Development of an artificial neural network based analysis method for skin-stringer structures,” M.S. - Master of Science, Middle East Technical University, 2017.
