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Arabian Journal for Science and Engineering

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11.06.2020 | Research Article-Civil Engineering

Gaussian Process Regression Technique to Estimate the Pile Bearing Capacity

verfasst von: Ehsan Momeni, Mohammad Bagher Dowlatshahi, Fereydoon Omidinasab, Harnedi Maizir, Danial Jahed Armaghani

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 10/2020

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Abstract

A commonly-encountered problem in foundation design is the reliable prediction of the pile bearing capacity (PBC). This study is planned to propose a feasible soft computing technique in this field i.e.; the Gaussian process regression (GPR) for the PBC estimation. The established database includes 296 number of dynamic pile load test in the field where the most influential factors on the PBC were selected as input variables. Several GPR models were designed and built. These models were assessed using three performance indices namely value account for (VAF), coefficient of determination (R²) and system error. To have a comparison, a genetic algorithm-based artificial neural network (GA-based ANN) model was also employed. It was found that the GPR-based model with VAF value of 86.41%, R² of 0.84 and system error of 0.2006 is capable enough to predict the PBC and outperforms the GA-based ANN model. The results showed that the GPR can be utilized as a practical tool for the PBC estimation.

Vorheriger Artikel Behaviour and Residual Strength Prediction of Recycled Aggregates Concrete Exposed to Elevated Temperatures

Nächster Artikel Numerical Analysis of Bearing Capacity of Strip Footing Built on Geogrid-Reinforced Sand Slope Over Soft Clay Layer (revised version 3)

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Titel: Gaussian Process Regression Technique to Estimate the Pile Bearing Capacity
verfasst von: Ehsan Momeni
Mohammad Bagher Dowlatshahi
Fereydoon Omidinasab
Harnedi Maizir
Danial Jahed Armaghani
Publikationsdatum: 11.06.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Arabian Journal for Science and Engineering / Ausgabe 10/2020
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-020-04683-4

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