Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

Machine Learning-Based Prediction of the Seismic Bearing Capacity of a Shallow Strip Footing over a Void in Heterogeneous Soils

The seismic bearing capacity of a shallow strip footing above a void displays a complex dependence on several characteristics, linked to geometric problems and to the soil properties. Hence, setting analytical models to estimate such bearing capacity is extremely challenging. In this work, machine l...

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Bibliographic Details
Main Authors: Mohammad Sadegh Es-haghi, Mohsen Abbaspour, Hamidreza Abbasianjahromi, Stefano Mariani
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Algorithms
Subjects:
shallow strip footing
seismic bearing capacity
finite element limit analysis
heterogeneous soil
machine learning
Online Access:https://www.mdpi.com/1999-4893/14/10/288

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https://www.mdpi.com/1999-4893/14/10/288

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