Data‐Driven Detection of Internal Erosion Initiation in Gap‐Graded Soils: Combining Particle‐Scale CFD‐DEM Simulation With 3D Convolutional Autoencoder

ABSTRACT Internal erosion in gap‐graded soils poses significant risks to water‐retaining structures such as earth dams. However, its underlying mechanisms at the particle scale remain poorly understood. This study couples the discrete element method (DEM) with computational fluid dynamics (CFD) to s...

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Vydáno v:	International journal for numerical and analytical methods in geomechanics Ročník 49; číslo 17; s. 4225 - 4247
Hlavní autoři:	Qi, Jie, Yousefpour, Negin, Narsilio, Guillermo A., Pouragha, Mehdi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Bognor Regis Wiley Subscription Services, Inc 01.12.2025
Témata:	anomaly detection Artificial neural networks CFD‐DEM Computational fluid dynamics Contact force convolutional autoencoder Dams Deep learning Discrete element method Earth dams Fluid dynamics Hydrodynamics internal erosion Machine learning Neural networks Orbital velocity Particle motion sequential training Soil Soils Tensors Velocity
ISSN:	0363-9061, 1096-9853
On-line přístup:	Získat plný text
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