Neural networks for the analysis of mine-induced building vibrations

• Autorzy: Kuźniar K.
• Języki publikacji: EN

Abstrakty

EN

A study of the capabilities of arti?cial 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 seismictype 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 e?cient, accurate enough for engineering, analysis of structural dynamics problems related to mineinduced excitations.

Słowa kluczowe

EN

neural network; neural simulation; data compression; data pre-processing; mining tremors; experimental data

PL

sieci neuronowe; symulacja neuronowa; kompresja danych; wstępne przetwarzanie danych; wstrząs górniczy; dane eksperymentalne

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2011
• Tom: Vol. 18, no. 3
• Strony: 147--159
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Kuźniar K.

• Pedagogical University of Cracow, Institute of Technology Podchorążych 2, 30-084 Kraków, Poland,

Bibliografia

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