A Vs-Based Logistic Regression Method for Liquefaction Evaluation

The current liquefaction evaluation methods mainly focus on the success rate for liquefied sites so that result tends to be conservative at different seismic intensities. Therefore, a new formula about by introducing logistic regression theory is proposed solve deficiencies of method, which based 225 sets shear wave velocity data reported Andrus. reliability verified 336 Vs collected from Kayen database. performance compared with existing including Andrus method and Chinese code method. Compared rates given under intensities are more balanced between site nonliquefied site. 50% probability adaptable wide range intensities, ground water table, sand buried depth. In addition, probabilistic levels can adopted importance engineering in risk analysis.