Determination of Internal Forces Using Artificial Neural Networks

Article Preview

Abstract:

Design and verification of engineering structures require knowing the numerical values ​​of sectional internal forces as close to reality, considering that the intervention construction works are correlated with these values.Most of the computer programs are working with finite element method, which was designed by engineers and founded by mathematicians. After running the computer program, stresses and deformations maps are generated as results.Considering these results, using artificial neural networks, a computer program has been designed, which is able to determine internal forces of a section, namely axial force, shear force and bending moment.Neural network input parameters consist of color maps resulted from numerical modeling, numerical values ​​of the normal and tangential tensions and dimensions of the structural element.This procedure is particularly useful when using finite element programs that do not have the ability to determine sectional internal forces.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

151-157

Citation:

Online since:

March 2017

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2017 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] A.E. Pandelea, M. Budescu, G. Covatariu and R.G. Tăran, Checking the homogeneity of concrete using artificial neural network, Computational Civil Engineering, International Symposium Iaşi (2015).

Google Scholar

[2] Lucian Soveja and Mihai Budescu, Aspects regarding modelling of old masonry churches using shell and solid elements, 15th International Scientific Conference VSU, (2015).

Google Scholar