Computation of response spectra from mining tremors using neural networks

The chapter deals with an application of neural networks to the analysis of vibrations of medium-height prefabricated buildings with load-bearing walls subjected to paraseismic excitations. Neural network technique was used for identification of dynamic properties of actual buildings, simulation of building responses to paraseismic excitations as well as for the analysis of response spectra. Mining tremors in strip mines and in the most seismically active mining regions in Poland with underground exploitation were the sources of these vibrations. On the basis of the experimental data obtained from the measurements of kinematic excitations and dynamic building responses of actual structures the training and testing patterns were formulated. It was stated that the application of neural networks enables us to predict the results with accuracy quite satisfactory for engineering practice. The results presented in this chapter lead to a conclusion that the neural technique gives new prospects of efficient analysis of structural dynamics problems related to paraseismic excitations.

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Generation of critical aftershocks using stochastic neural networks and wavelet packet transform

Journal of Vibration and Control ◽

10.1177/1077546319879536 ◽

2019 ◽

Vol 26 (5-6) ◽

pp. 331-351

Author(s):

Elham Rajabi ◽

Gholamreza Ghodrati Amiri

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Response Spectrum ◽

Wavelet Packet ◽

Principal Component ◽

Response Spectra ◽

Component Analysis ◽

Wavelet Packet Transform ◽

Stochastic Neural Networks ◽

Transform Coefficients

This paper proposes a methodology using wavelet packet transform, principal component analysis, and neural networks in order to generate artificial critical aftershock accelerograms which are compatible with the response spectra. This procedure uses the learning abilities of neural networks, principal component analysis as a dimension reduction technique, and decomposing capabilities of wavelet packet transform on consecutive earthquakes. In fact, the proposed methodology consists of two steps and expands the knowledge of the inverse mapping from mainshock response spectrum to aftershock response spectrum and aftershock response spectrum to wavelet packet transform coefficients of the aftershocks. This procedure results in a stochastic ensemble of response spectra of aftershock (first step) and corresponding wavelet packet transform coefficients (second step) which are then used to generate the aftershocks through applying the inverse wavelet packet transform. Finally, in order to demonstrate the effectiveness of the proposed method, three examples are presented in which recorded critical successive ground motions are used to train and test the neural networks.

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Response Spectrum with Uncertain Damping Using Artificial Neural Networks

International Journal of Engineering Research in Africa ◽

10.4028/www.scientific.net/jera.56.136 ◽

2021 ◽

Vol 56 ◽

pp. 136-144

Author(s):

Lazhar Hariche ◽

Baizid Benahmed ◽

Abbas Moustafa

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Response Spectrum ◽

Structural Response ◽

Response Spectra ◽

Dynamic Loads ◽

Linear Structures ◽

The Monte Carlo Method ◽

Artificial Neural ◽

Target Design

It is evident that the response of linear structures under dynamic loads depends to two important dynamics parameters of structures, namely, the natural periods and structural damping. These parameters always characterize the oscillation and the energy dissipation of buildings. In fact, the values of these parameters differ significantly, before, during and after an earthquake from values selected during the design phase. This phenomenon, among other, introduces uncertainty into the building simulation process, which remarkably influences the structural response and associated performance of the structure under dynamic loads. This paper develops a new methodology to estimate the maximum absolute response for linear structures with uncertain damping using the Artificial Neural Networks (ANN) and the Monte Carlo method. The proposed method is illustrated using the target design response spectra corresponding to the EC8 for linear structures exposed to seismic loads. The numerical results revealed the practical applicability of the proposed methodology and the crucial influence of accounting the damping uncertainty in structural dynamics. Additionally, the method can be used in practice, mainly for important and special structures where uncertainty could lead to significant changes in structural response.

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The ratio of response spectra from seismic-type free-field and building foundation vibrations: the influence of rockburst parameters and simple models of kinematic soil-structure interaction

Bulletin of Earthquake Engineering ◽

10.1007/s10518-019-00734-w ◽

2019 ◽

Vol 18 (3) ◽

pp. 907-924 ◽

Cited By ~ 1

Author(s):

Krystyna Kuzniar ◽

Tadeusz Tatara

Keyword(s):

Soil Structure ◽

Epicentral Distance ◽

Free Field ◽

Response Spectra ◽

Soil Structure Interaction ◽

Ground Acceleration ◽

Structure Interaction ◽

Building Foundation ◽

Mining Tremors ◽

The Impact

Abstract Mining-related seismicity is a significant problem in regions with the exploitation in underground mines. Despite the fact that mining tremors result from human activity and are classified as so-called paraseismic shocks, as with earthquakes, they are random events. Moreover, these rockbursts could cause significant damage to surface structures, including buildings. This paper deals with the analysis of experimentally obtained results in terms of the differences between the mine-induced vibrations described by the response spectra from the free-field near a given building and the simultaneously recorded vibrations in the building foundations. The influences of epicentral distance, mining tremor energy and the value of peak ground acceleration on the curves of free-field—foundation response spectra ratio were studied. The impact of the type of building on the transmission of response spectra from the free-field vibrations to the building foundations was also analysed for three types of apartment buildings (low-rise, medium-rise, high-rise). The usefulness of the approximate models of the phenomenon of soil-structure interaction during earthquakes proposed in the literature is also estimated in this paper in specific instances of mining tremors. Furthermore, the study presents original, simple, empirical models for the evaluation of the differences in the response spectra originating from free-field and building foundation vibrations in the mining region.

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Kalman filtering for neural prediction of response spectra from mining tremors

Computers & Structures ◽

10.1016/j.compstruc.2006.11.029 ◽

2007 ◽

Vol 85 (15-16) ◽

pp. 1257-1263 ◽

Cited By ~ 6

Author(s):

Agnieszka Krok ◽

Zenon Waszczyszyn

Keyword(s):

Kalman Filtering ◽

Response Spectra ◽

Prediction Of Response ◽

Mining Tremors

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Discussion on: “Kalman filtering for neural prediction of response spectra from mining tremors”

Computers & Structures ◽

10.1016/j.compstruc.2009.03.003 ◽

2009 ◽

Vol 87 (13-14) ◽

pp. 948-949

Author(s):

Zbigniew Zembaty

Keyword(s):

Kalman Filtering ◽

Response Spectra ◽

Prediction Of Response ◽

Mining Tremors

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Response Spectra of Ground Motions and Building Foundation Vibrations Excited by Rockbursts in the LGC Region

Earthquake Spectra ◽

10.1193/020515eqs022m ◽

2016 ◽

Vol 32 (3) ◽

pp. 1769-1791 ◽

Cited By ~ 15

Author(s):

Edward Maciag ◽

Krystyna Kuzniar ◽

Tadeusz Tatara

Keyword(s):

Soil Structure ◽

Response Spectrum ◽

Ground Vibration ◽

Response Spectra ◽

Ground Vibrations ◽

Building Foundation ◽

Standard Response ◽

Surface Vibrations ◽

Mining Tremors ◽

New Buildings

Surface vibrations induced by mining rockbursts resulting from underground exploitation in the mines in western Poland were analyzed and classified into three different categories. Comparison of the accelerograms simultaneously recorded on the ground and on the foundations of typical buildings, as well as the response spectra determined on the basis of these records, leads to the conclusion that ground vibration characteristics have a significant influence on the nature of vibration transmission from the ground to the building foundation. Analysis of the response spectra, separately determined from both ground vibrations and building foundation vibrations, indicates that the standard response spectrum based on building foundation vibrations is more useful in the design of new buildings in areas of mining tremors than the spectrum based on ground vibrations. Moreover, the usefulness of the models of soil-structure interaction based on seismic data in California was investigated with respect to mine-induced rockbursts in Poland.

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