Geotechnical Engineering Journal of the SEAGS & AGSSEA ISSN 0046-5828
Vol. 54 No. 3 September 2023
Land Reclamation Management Utilizing Artificial Intelligence for Estimating Soil Properties
T. Kumagai, T. T. T. Mai, K. Bai, F. Tsurumi, and T. Tashiro
ABSTRACT: In use of clayey soils for reclamation, the stability against slip and future consolidation settlement should be examined during and after reclamation. For these purposes, a practical reclamation management system has been developed based on three types of analysis: artificial intelligence (AI) estimation of soil properties such as compression index, consolidation coefficient and undrained shear strength, deposition shape analysis; and consolidation settlement analysis for clayey soils dumped from a hopper barge. The AI estimation of soil properties is characterized by use of a convolutional neural network (CNN) based on information such as soil source, wet density, and photographed image obtained before reclamation works. In this study, the validity of each analysis model has been verified on an actual reclamation project by use of measured data such as deposition shape of dumped soils on the seabed, soil properties in the reclaimed ground and consolidation settlement after reclamation and soil improvement.
KEYWORDS: Neural network, CNN, Machine learning, Centrifuge test, and CPT.
