In the framework of flow simulations in Discrete Fracture Networks, we consider the problem of identifying possible backbones, namely preferential channels in the network. Backbones can indeed be fruitfully used to analyze clogging or leakage, relevant for example in waste storage problems, or to reduce the computational cost of simulations. With a suitably trained Neural Network at hand, we use the Layer-wise Relevance Propagation as a feature selection method to detect the expected relevance of each fracture in a Discrete Fracture Network and thus identifying the backbone.

Layer-wise relevance propagation for backbone identification in discrete fracture networks / Berrone, Stefano; Della Santa, Francesco; Mastropietro, Antonio; Pieraccini, Sandra; Vaccarino, Francesco. - In: JOURNAL OF COMPUTATIONAL SCIENCE. - ISSN 1877-7503. - ELETTRONICO. - 55:(2021), p. 101458. [10.1016/j.jocs.2021.101458]

Layer-wise relevance propagation for backbone identification in discrete fracture networks

Berrone, Stefano;Della Santa, Francesco;Mastropietro, Antonio;Pieraccini, Sandra;Vaccarino, Francesco
2021

Abstract

In the framework of flow simulations in Discrete Fracture Networks, we consider the problem of identifying possible backbones, namely preferential channels in the network. Backbones can indeed be fruitfully used to analyze clogging or leakage, relevant for example in waste storage problems, or to reduce the computational cost of simulations. With a suitably trained Neural Network at hand, we use the Layer-wise Relevance Propagation as a feature selection method to detect the expected relevance of each fracture in a Discrete Fracture Network and thus identifying the backbone.
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S1877750321001356-main.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 4.51 MB
Formato Adobe PDF
4.51 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2844659