Application of Logistic Regression Based on Maximum Likelihood Estimation to Predict Seismic Soil Liquefaction Occurrence

Application of Logistic Regression Based on Maximum Likelihood Estimation to Predict Seismic Soil Liquefaction Occurrence

Abstract Seismic soil liquefaction is one of the considerable challenges and disastrous sides of earthquakes that can generally happen in loose to medium saturated sandy soils. The in-situ cone penetration test (CPT) is a widely used index for evaluating the liquefaction characteristics of soils fro...

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Bibliographic Details
Main Authors: Idriss Jairi, Yu Fang, Nima Pirhadi
Format: Article
Language:English
Published: Springer Nature 2021-12-01
Series:Human-Centric Intelligent Systems
Subjects:
Probability of liquefaction
logistic regression
classification
maximum likelihood estimation
cone penetration test
Online Access:https://doi.org/10.2991/hcis.k.211207.001

Internet

https://doi.org/10.2991/hcis.k.211207.001

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