Modelling and Analysis in Geotechnical Engineering
Published May 13, 2025 | Version 1.0
Software Restricted

A surrogate model for predicting the response of a deep excavation in London supported by a multi-propped retaining wall

Authors/Creators

  • 1. ROR icon Imperial College London

Contributors

  • 1. Imperial College London

Description

This surrogate model consists of an Artificial Neural Network trained based on detailed analyses performed using PLAXIS 2D with London Clay modelled using IC MAGE M01 model (non-linear elastic, perfectly plastic). The 90 samples used to establish the surrogate were determined using a novel adaptive batch samping method (CV-BASHES).

Files

Restricted

The record is publicly accessible, but files are restricted. Log in to check if you have access.

Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.15191865 (DOI)

Funding

Engineering and Physical Sciences Research Council
SIDeTools - Imperial College London UKRI Impact Acceleration Account EP/X52556X/1