Prediction of Ultimate Bearing Capacity of Aggregate Pier Reinforced Clay Using Multiple Regression Analysis and Deep Learning

Prediction of Ultimate Bearing Capacity of Aggregate Pier Reinforced Clay Using Multiple Regression Analysis and Deep Learning

Aggregate piers have been widely used to increase bearing pressure and reduce settlement under structural footings. The ultimate bearing capacity of aggregate pier-reinforced ground is affected by the soil strength, replacement ratio of piles, and construction conditions. Various prediction models h...

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Bibliographic Details
Main Authors: Taeho Bong, Sung-Ryul Kim, Byoung-Il Kim
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
aggregate pier
bearing capacity
multiple regression analysis
deep neural network
sensitivity analysis
Online Access:https://www.mdpi.com/2076-3417/10/13/4580

Internet

https://www.mdpi.com/2076-3417/10/13/4580

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