Reliability‐based state parameter liquefaction probability prediction using soft computing techniques

The state parameter (ѱ) accounts for both relative density and effective stress, which influence the cyclic stress or liquefaction characteristic of the soil significantly. This study presents a ѱ‐based probabilistic liquefaction evaluation method using six soft computing (SC) techniques. The liquef...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Geological journal (Chichester, England) England), 2024-09, Vol.59 (9), p.2638-2654
Hauptverfasser:	Kumar, Kishan, Samui, Pijush, Choudhary, S. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	cone penetration test Cone penetration tests Earthquake prediction Earthquakes Error analysis Gaussian process Genetic algorithms Geotechnical engineering Liquefaction Machine learning Parameter sensitivity Performance prediction Regression analysis Regression models Relative density Risk assessment Seismic activity Sensitivity analysis Soft computing Soil stresses Specific gravity Splines state parameter Statistical analysis Statistical models
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!