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Water Resources Management

Erschienen in:

20.01.2021

A New Method for Pore Pressure Prediction on Malfunctioning Cells Using Artificial Neural Networks

verfasst von: Milica Markovic, Jelena Markovic Brankovic, Miona Andrejevic Stosovic, Srdjan Zivkovic, Bojan Brankovic

Erschienen in: Water Resources Management | Ausgabe 3/2021

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Abstract

Embankment rockfill dams are the most common dam construction types used in the world today. One third of all embankment dam failures are caused by dam slope instability. The dam is stable when the slopes are stable. Slope safety of the dam is assessed through pore and total pressure data analysis registered on pressure measurement cells installed in the dam. During the service life of a dam, one or more cells may malfunction after years of operation. Cell replacement implies economically unjustified high costs and is usually technically impossible and high risk. In this paper, the problem of a malfunctioning cell with a small available dataset is analysed. A new method for pore pressure prediction on malfunctioning cells has been developed using several successive artificial neural networks (ANNs) to obtain high accuracy of the predicted values. The results show that these predicted values are more precise than values we could have obtained using only one artificial neural network for prediction.

Vorheriger Artikel A Spatial Non-Stationary Based Site Selection of Artificial Groundwater Recharge: a Case Study for Semi-Arid Regions

Nächster Artikel Dam Location-Allocation under Multiple Hydrological Scenarios

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Titel: A New Method for Pore Pressure Prediction on Malfunctioning Cells Using Artificial Neural Networks
verfasst von: Milica Markovic
Jelena Markovic Brankovic
Miona Andrejevic Stosovic
Srdjan Zivkovic
Bojan Brankovic
Publikationsdatum: 20.01.2021
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 3/2021
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-021-02763-0

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