Evaluation of Creep Behavior of Soft Soils by Utilizing Multisensor Data Combined with Machine Learning

Evaluation of Creep Behavior of Soft Soils by Utilizing Multisensor Data Combined with Machine Learning

To identify the unknown values of the parameters of Burger’s constitutive law, commonly used for the evaluation of the creep behavior of the soft soils, this paper demonstrates a procedure relying on the data obtained from multiple sensors, where each sensor is used to its best advantage. The geophy...

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Bibliographic Details
Main Authors: Meho Saša Kovačević, Mario Bačić, Lovorka Librić, Kenneth Gavin
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
soft soil creep
Burger’s model
neural network
particle swarm optimization
remote sensing
nondestructive testing
Online Access:https://www.mdpi.com/1424-8220/22/8/2888

Internet

https://www.mdpi.com/1424-8220/22/8/2888

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