Prediction of the Void Ratio Parameter in Mineral Tailings Using Gene Expression Programming

Autor: Ali Akbar Heshmati R., Hossein Salehzadeh, Mehdi Shahidi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Advances in Civil Engineering, Vol 2020 (2020)
Druh dokumentu: article
ISSN: 1687-8086
1687-8094
DOI: 10.1155/2020/8838104
Popis: Mineral tailing deposits are one of the most important issues in the field of geotechnical engineering. The void ratio of mineral tailings is an essential parameter for investigating the geotechnical behavior of tailings. However, there has not yet been a comprehensive empirical formulation for initial prediction of the void ratio of mineral tailings. In this study, the void ratio of various types of mineral waste is estimated by using gene expression programming (GEP). Therefore, taking into consideration the effective physical parameters that affect the estimation of this parameter, eight different models are presented. A reliable experimental database collected from different sources in the literature was applied to develop the GEP models. The performance of the developed GEP models was measured based on coefficient of determination (R2), mean absolute error (MAE), and root mean square error (RMSE). According to the results, the model with effective stress σ′, initial void ratio (e0), and parameters of R2 = 0.92, MAE = 0.109, and RMSE = 0.180 performed the best. Finally, a new empirical formulation for the initial prediction of the void ratio parameter is proposed based on the aforementioned analyses.
Databáze: Directory of Open Access Journals
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