An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays

Lai, Van Qui; Chauhan, Vinay Bhushan; Keawsawasvong, Suraparb; Sangjinda, Kongtawan; Chavda, Jitesh T.; Mase, Lindung Zalbuin

doi:10.1007/s12145-023-01175-5

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Preprint1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Stability of subsea circular tunnels using finite element limit analysis and adaptive neuro-fuzzy inference system

Shafiee,

Oulapour,

Abdlkadhim

2024

Earth Sci Inform

View full text Add to dashboard Cite

Stability of subsea circular tunnels using finite element limit analysis and adaptive neuro-fuzzy inference system

Shafiee,

Oulapour,

Abdlkadhim

2024

Earth Sci Inform

View full text Add to dashboard Cite

Stability of Subsea Tunnels Using Finite Element Limit Analysis and Adaptive Neuro-Fuzzy Inference System

Shafiee,

Oulapour,

Abdlkadhim

2024

Preprint

View full text Add to dashboard Cite

Construction of subsea tunnels has grown significantly in recent decades around the world. Hence, ensuring the stability of these tunnels is very important. However, investigating the stability of subsea tunnels has not received enough attention. In the present study, the finite element limit analysis (FELA) was used to determine the internal pressure needed to maintain the stability of circular subsea tunnels embedded in a Tresca material by considering various values for the influential parameters. It was observed that the required internal pressure, in a dimensionless form, increased by increasing soil cover and water depth. The failure mechanism was also investigated. It was observed that the mechanism did not cover the tunnel’s roof for lower values of soil cover and soil’s undrained shear strength. An adaptive neuro-fuzzy inference system (ANFIS) was implemented to predict the required dimensionless internal pressure. It was seen that in this regard, the performance of ANFIS was far better than the multiple linear regression (MLR).

show abstract

An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays

Cited by 2 publications

References 72 publications

Stability of subsea circular tunnels using finite element limit analysis and adaptive neuro-fuzzy inference system

Stability of subsea circular tunnels using finite element limit analysis and adaptive neuro-fuzzy inference system

Stability of Subsea Tunnels Using Finite Element Limit Analysis and Adaptive Neuro-Fuzzy Inference System

Contact Info

Product

Resources

About