Convolutional neural networks in the SSI analysis for mine-induced vibrations

• Autorzy: Zając Maciej , Kuźniar Krystyna

Identyfikatory

DOI

10.24423/cames.1088

• Konferencja: International Conference on Computer Methods in Mechanics and Solid Mechanics Conference (24th and 42nd ; 05-08.09.2024 ; Świnoujście ; Polska)
• Języki publikacji: EN

Abstrakty

EN

Deep neural networks (DNNs) have recently become one of the most often used softcomputational tools for numerical analysis. The huge success of DNNs in the field of imageprocessing is associated with the use of convolutional neural networks (CNNs). CNNs,thanks to their characteristic structure, allow for the effective extraction of multi-layerfeatures. In this paper, the application of CNNs to one of the important soil-structureinteraction (SSI) problems, i.e., the analysis of vibrations transmission from the free-field next to a building to the building foundation, is presented in the case of mine-induced vibrations. To achieve this, the dataset from in-situ experimental measurements,containing 1D ground acceleration records, was converted into 2D spectrogram imagesusing either Fourier transform or continuous wavelet transform. Next, these images wereused as input for a pre-trained CNN. The output is a ratio of maximal vibration valuesrecorded simultaneously on the building foundation and on the ground. Therefore, the lastlayer of the CNN had to be changed from a classification to a regression one. The obtainedresults indicate the suitability of CNN for the analyzed problem.

Słowa kluczowe

EN

deep learning; convolutional neural network; shallow neural network; small data set; soil-structure interaction; mine-induced vibrations

PL

głęboka nauka; splotowa sieć neuronowa; płytka sieć neuronowa; mały zestaw danych; interakcja gleba-struktura; wibracje wywołane minami

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2024
• Tom: Vol. 31, no. 1
• Strony: 3--28
• Opis fizyczny: Bibliogr. 48 poz.,

Twórcy

autor

Zając Maciej

• Institute of Technology, University of the National Education Commission, Krakow, Poland

autor

Kuźniar Krystyna

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