Decision Tree Models for Predicting Liquefaction-Induced Settlement of Buildings with Shallow Foundations Subjected to Seismic Excitation
Mahmood Ahmad,
Muhammad Danish,
Beenish Jehan Khan
et al.
Abstract:Shallow-founded buildings are susceptible to liquefaction-induced settlement (Sl) in the event of an earthquake. Mitigating earthquake damage requires accurate settlement evaluation. Nnonetheless, the process of predicting the Sl is not simple and necessitates advanced soil models and calibrated soil characteristics, which are not easily accessible for specialists and designers. Furthermore, multivariate adaptive regression splines or conventional regression analysis were used to build the available empirical … Show more
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