Prediction of collapse potential of soils using gene expression programming and parametric study

Basit Öğe Kaydı
dc.contributor.authorUysal, Firdevs
dc.date.accessioned2024-11-07T13:25:06Z
dc.date.available2024-11-07T13:25:06Z
dc.date.issued2020
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractSoil collapse is defined as a considerable reduction in soil volume when inundated under constantly applied pressure is known to be responsible for the failure of geotechnical structures such as highway/railway embankments and earth dams. Gene expression programming (GEP) is used as an artificial intelligence (AI) for the formulations of collapse potential in terms of the difference between the sand and clay percentages or the coefficient of uniformity, initial water content, initial dry unit weight, and wetting pressure in this paper. The experimental data available in the literature have been gathered for predicting collapse potential with the empirical formulations developed in the training and test sets of GEP-based models. Besides, additional experimental data derived from different literature are obtained to confirm the applicability and generalizability of the developed GEP-based formulations. The prediction performances of GEP models are compared to the experimental results and regression-based formulations proposed in the literature. These comparisons and statistical values obtained from analyses show that the GEP-based models are detected to be more effective methods to estimate the collapse potential. Moreover, a series of parametric analysis is conducted to perceive influences of input parameters on collapse potential by using GEP-based formulations.
dc.identifier.doi10.1007/s12517-020-06050-x
dc.identifier.issn1866-7511
dc.identifier.issn1866-7538
dc.identifier.issue19
dc.identifier.scopus2-s2.0-85091722672
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1007/s12517-020-06050-x
dc.identifier.urihttps://hdl.handle.net/11480/14516
dc.identifier.volume13
dc.identifier.wosWOS:000576917900003
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofArabian Journal of Geosciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectCollapse potential
dc.subjectGene expression programming
dc.subjectEmpirical formula
dc.subjectParametric study
dc.titlePrediction of collapse potential of soils using gene expression programming and parametric study
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu