Abstract
Problem of the transmission of mine-induced ground vibrations to building foundation is analysed in the paper. The maximal values of horizontal vibrations velocities (horizontal vibration components and resultant vibrations) are taken into account. Application of neural networks for the prediction of building foundation vibrations on the basis of ground vibrations is proposed. Standard back-propagation neural networks as well as recurrent cascade neural network systems were used. Experimental data obtained from the measurements of ground and actual structure vibrations were applied as the neural network training, validating and testing patterns. The obtained results lead to a conclusion that the neural technique gives results accurate enough for engineering practice.
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Kuzniar, K., Chudyba, L. (2012). Neural Networks for the Analysis of Mine-Induced Vibrations Transmission from Ground to Building Foundation. In: Jayne, C., Yue, S., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2012. Communications in Computer and Information Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32909-8_17
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DOI: https://doi.org/10.1007/978-3-642-32909-8_17
Publisher Name: Springer, Berlin, Heidelberg
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