2022
DOI: 10.31814/stce.huce(nuce)2022-16(1)-08
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Numerical scheme for transient seepage analysis under unsaturated conditions

Abstract: Unsaturated soil behaviors characterize the failure mechanisms of geotechnical infrastructures with transient seepage conditions. Therefore, an accurate estimate of the unsaturated groundwater flow is vital in improving hazard management and assessment. This study attempts to develop a numerical scheme for 2-D transient analysis under unsaturated conditions. First, the unsaturated groundwater flow was described using the mass conservation law. Then, the Finite Difference Method and Backward Euler approximation… Show more

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“…This is one of the most well-known ML algorithms, having won numerous competitions between ML algorithms organized by Kaggle, the world's most popular forum for data scientists. XGBoost is frequently used to solve supervised learning problems with high accuracy and has been used successfully in a variety of fields [9][10][11][12][13][14]. For instance, Zhang et al [9] constructed four models to analyze the mechanisms of radon variation under natural and seismic conditions using XGBoost.…”
Section: Introductionmentioning
confidence: 99%
“…This is one of the most well-known ML algorithms, having won numerous competitions between ML algorithms organized by Kaggle, the world's most popular forum for data scientists. XGBoost is frequently used to solve supervised learning problems with high accuracy and has been used successfully in a variety of fields [9][10][11][12][13][14]. For instance, Zhang et al [9] constructed four models to analyze the mechanisms of radon variation under natural and seismic conditions using XGBoost.…”
Section: Introductionmentioning
confidence: 99%