1
Ph.D. Candidate in Geotechnical Engineering, Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2
M.Sc. Graduate in Transportation Engineering, Babol Noshirvani University of Technology, Mazandaran, Iran.
3
Assistant Professor, Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract
This study investigates various deep learning algorithms such as fuzzy networks and k-nearest neighbors for predicting the liquefaction or non-liquefaction behavior of soil. Since soil liquefaction causes severe damage to infrastructures and lifelines, predicting this phenomenon is crucial. Two machine learning approaches were compared in this research to evaluate their effectiveness in predicting soil liquefaction. The models were constructed with multiple input parameters and a single output (liquefaction/non-liquefaction) under seismic conditions with a magnitude of 7.8. Model performance was assessed based on CPT (Cone Penetration Test) data using accuracy metrics in three states (liquefied, non-liquefied, and overall) along with confusion matrices and ROC (Receiver Operating Characteristic) curves. The study utilized models such as K-Nearest Neighbors (KNN) and fuzzy networks to evaluate soil liquefaction potential.
Aghakasiry,S. , Aghakasiry,S. , Farokhizadeh,S. and Emami Kourandeh,M. (2025). Rediction of Liquefaction in Sandy Soils Using Deep Learning Methods. Concepts and Functions in the Building Engineering, 1(4), 64-7.
MLA
Aghakasiry,S. , , Aghakasiry,S. , , Farokhizadeh,S. , and Emami Kourandeh,M. . "Rediction of Liquefaction in Sandy Soils Using Deep Learning Methods", Concepts and Functions in the Building Engineering, 1, 4, 2025, 64-7.
HARVARD
Aghakasiry S., Aghakasiry S., Farokhizadeh S., Emami Kourandeh M. (2025). 'Rediction of Liquefaction in Sandy Soils Using Deep Learning Methods', Concepts and Functions in the Building Engineering, 1(4), pp. 64-7.
CHICAGO
S. Aghakasiry, S. Aghakasiry, S. Farokhizadeh and M. Emami Kourandeh, "Rediction of Liquefaction in Sandy Soils Using Deep Learning Methods," Concepts and Functions in the Building Engineering, 1 4 (2025): 64-7,
VANCOUVER
Aghakasiry S., Aghakasiry S., Farokhizadeh S., Emami Kourandeh M. Rediction of Liquefaction in Sandy Soils Using Deep Learning Methods. Concepts and Functions in the Building Engineering, 2025; 1(4): 64-7.
