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Supplementary information assoicated with the published journal article: Surrogate Modeling Framework for Cantilever Sheet Pile Wall Stability Assessment: Case Study Campus Ullevål

Article reference

  • Authors: Andreas‑Nizar Granitzer · Hilde Aas Nøst · Egil Monsås · Georg Erharter · Johannes Leo
  • Title: Surrogate Modeling Framework for Cantilever Sheet Pile Wall Stability Assessment: Case Study Campus Ullevål
  • Accepted: 16 May 2026
  • DOI: https://doi.org/10.1007/s10706-026-03740-3

Usage

The main package is deepxtwin, organized into subpackages for different functionalities. (Note: Code includes executable notebooks, however, code associated with parametric FE modelling has not been uploaded due to size limitations.)

Project structure:

├───data                    # Parametric FE input data and FoS predictions (500 samples).
├───deepxtwin
│   ├───sampling            # Latin Hypercube Sampling for sampling plan.
│   ├───surrogate           # Construction and analysis.
config.toml                 # Configuration settings (TOML format)
poetry.lock                 # Dependency lock file
pyproject.toml              # Project metadata and dependencies

Installation

This project uses poetry. Install by running:

poetry install  # Install all dependencies
poetry shell    # Activate virtual environment

About

This repository provides supplemental information associated with the journal article Granitzer et al. (2026) "Surrogate Modeling Framework for Cantilever Sheet Pile Wall Stability Assessment: Case Study Campus Ullevål" available at https://doi.org/10.1007/s10706-026-03740-3.

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