Neural networks for the analysis of mine-induced building vibrations
Journal Title: Computer Assisted Methods in Engineering and Science - Year 2011, Vol 18, Issue 3
Abstract
A study of the capabilities of artificial neural networks in respect of selected problems of the analysis of mine-induced building vibrations is presented. Neural network technique was used for the prediction of building fundamental natural period, mapping of mining tremors parameters into response spectra from ground vibrations, soil-structure interaction analysis, simulation of building response to seismic- type excitation. On the basis of the experimental data obtained from the measurements of kinematic excitations and dynamic responses of actual structures, training and testing patterns of neural networks were formulated. The obtained results lead to a conclusion that the neural technique gives possibility of efficient, accurate enough for engineering, analysis of structural dynamics problems related to mine-induced excitations.
Authors and Affiliations
Krystyna Kuźniar
Analysis of the melting, burning and flame spread of polymers with the particle finite element method
A computational procedure for analysis of the melting, burning and flame spread of polymers under fire conditions is presented. The method, termed particle finite element method (PFEM), combines concepts from particle-ba...
On inverse form finding for orthotropic plasticity
Inverse form finding aims to determine the optimum blank design of a workpiece whereby the desired spatial configuration that is obtained after a forming process, the boundary conditions and the applied loads are known....
An improved Neural Kalman Filtering Algorithm in the analysis of cyclic behaviour of concrete specimens
The article is related to the results of research on Node Decoupled Extended Kalman Filtering (NDEKF) as a learning method for the training of Multilayer Perceptron (MPL). Developments of this method made by the author a...
Solving thermoelasticity problems by means of Trefftz functions. (Received in the final form January 15, 2010)
The paper presents a new method of approximate solving of the two- and three-dimensional thermoelasticity problems in a finite body. The method presented here can be used for solving direct and inverse problems as well....
Application concept of artificial neural networks for turbomachinery design. (Received in the final form August 19, 2009)
This paper presents the results of an extensive investigation evaluating and improving the development of artificial neural network (ANN) models for turbomachinery design purposes. A set of 1100 differing axial compresso...