Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015

Mapping Modeling Method of Tower Parking System Structure Based on Support Vector Machine

Authors
Gening Xu, Kun An, Bin Zuo, Jiarong Chen, Yaoyao Wang
Corresponding Author
Gening Xu
Available Online November 2015.
DOI
https://doi.org/10.2991/iccet-15.2015.335How to use a DOI?
Keywords
Whole model, Mapping model, Support vector machine, Neural network, Tower parking system
Abstract

Aiming at the problem of large amount of calculation and solving inefficiency when using finite element software to analyze the “whole model” of complex space steel structure, the mapping model method built on the basis of SVM (Support Vector Machine) theory is proposed to reduce computation and enhance the computing efficiency. In this paper, taking tower parking system structure as the object, the mapping relationship is established among parking layers, conditions and the von Mises stress, maximum displacement which the system is subjected to. According to the mapping relationship, it can realize the prediction of von Mises stress and maximum displacement in different layers and conditions to avoid calculating “whole model”. The research shows that the maximum relative error of stress is 1.69% and the maximum relative error of displacement is 3.16% when compared results that predicted by SVM with results that calculated by finite element. At the same time, according to the comparison of mapping results which predicted by SVM and neural network, it comes the conclusion that results of SVM have a goodness of fit.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-134-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/iccet-15.2015.335How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gening Xu
AU  - Kun An
AU  - Bin Zuo
AU  - Jiarong Chen
AU  - Yaoyao Wang
PY  - 2015/11
DA  - 2015/11
TI  - Mapping Modeling Method of Tower Parking System Structure Based on Support Vector Machine
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 1801
EP  - 1807
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.335
DO  - https://doi.org/10.2991/iccet-15.2015.335
ID  - Xu2015/11
ER  -