Open AccessA comparative soil liquefaction analysis with a Matlab® based algorithm: soiLique
Author(s) -
Ekrem Bekin,
Ferhat Özçep
Publication year - 2021
Publication title -
earth sciences research journal/earth sciences research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.181
H-Index - 15
eISSN - 2339-3459
pISSN - 1794-6190
DOI - 10.15446/esrj.v25n3.86525
Subject(s) - liquefaction , matlab , soil liquefaction , computer science , computation , algorithm , robustness (evolution) , experimental data , geotechnical engineering , data mining , mathematics , geology , statistics , biochemistry , chemistry , gene , operating system
Soil liquefaction is one of the ground failures induced by earthquakes. Determining the safety factor and the settlements are the most common analyses to decrease liquefaction-induced failures and hazards. Scientists have suggested numerous empirical formulas to detect and mitigate liquefaction-based hazards, and they have been used over the decades. This study aims to present a user-friendly and interactive program for deterministic soil liquefaction analyses. The algorithm presented in this study, soiLique, is the first MATLAB® program, including a graphical user interface that provides the deterministic liquefaction analysis with the computation of parameters propounded with the formulas. One of the advantages of soiLique is that it allows picking the physical property of every layer (i.e., fine or coarse), which provides dealing with liquefaction prone layer(s) directly when necessary. Not only can one calculate parameters regarding soil liquefaction with the help of this program, but one also can see graphically supported results. The robustness of soiLique is checked with another soil liquefaction analysis program, SoilEngineering, which was introduced by Ozcep (2010). Calculations were done separately using real SPT data and synthetic data such as VS measurements and CPT data. The real SPT data and synthetic VS data were used to compare soiLique and SoilEngineering (Ozcep, 2010). The present study presents an example of CPT data analysis but could not be used for comparison. Comparisons reveal that outputs of soiLique and results of SoilEngineering showed a good agreement.