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Neural Network-Based Prediction Model for the Stability of Unlined Elliptical Tunnels in Cohesive-Frictional Soils

The scheme for accurate and reliable predictions of tunnel stability based on an artificial aeural network (ANN) is presented in this study. Plastic solutions of the stability of unlined elliptical tunnels in sands are first derived by using numerical upper-bound (UB) and lower-bound (LB) finite ele...

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Auteurs principaux: Sayan Sirimontree, Suraparb Keawsawasvong, Chayut Ngamkhanong, Sorawit Seehavong, Kongtawan Sangjinda, Thira Jearsiripongkul, Chanachai Thongchom, Peem Nuaklong
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2022-04-01
Collection:Buildings
Sujets:
tunnel stability
finite element
cohesive-frictional soils
underground opening
limit analysis
artificial neural network
Accès en ligne:https://www.mdpi.com/2075-5309/12/4/444
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