Thesis Details

Klasifikace ocelových styčníků v aplikaci IDEA StatiCa

Bachelor's Thesis Student: Nekut Tomáš Academic Year: 2019/2020 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Classification of Steel Connections in IDEA StatiCa Application
Language
Czech
Abstract

The goal of this thesis was to design and implement application which would be able to predict the most suitable connection type of two steel members. This information could be used as a clue by a structural engineer and so make design of steel construction easier for him. Implemented application is able to automatically process finished project files that were created by structural engineers and prepare a data set by extracting features from them. The application is then able to train a neural network on this data set and using it predict suitable connection type of unconnected steel members. The precision of model finally reached 81 %. Prediction of connection types using artificial intelligence is not widely used yet but could work and could be possibly usable as is shown also in this thesis.

Keywords

neural network, classification, steel connection, joint prediction

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
13 July 2020
Reviewer
Rozman Jaroslav, Ing., Ph.D.
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
NEKUT, Tomáš. Klasifikace ocelových styčníků v aplikaci IDEA StatiCa. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-13. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/17731/
BibTeX 
@bachelorsthesis{FITBT17731,
    author = "Tom\'{a}\v{s} Nekut",
    type = "Bachelor's thesis",
    title = "Klasifikace ocelov\'{y}ch sty\v{c}n\'{i}k\r{u} v aplikaci IDEA StatiCa",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17731/"
}

Theses

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