Application of an Automated Parameter Determination Framework to Boundary Value Problems

Research output: Contribution to journalArticlepeer-review

Abstract

Determining constitutive model parameters from in situ tests offers several advantages, including reduced time, lower cost, and minimal soil disturbance. As part of a research project, an automated framework was developed to derive constitutive model parameters from in situ test results using a graph-based approach. Previous studies primarily focused on validating the framework’s output in terms of soil parameters by comparing them with values interpreted from laboratory tests. This study demonstrates the full capability of the framework, from importing raw in situ measurements and stratifying the soil profile to determining both soil and constitutive model parameters, and ultimately linking the results to numerical modelling. To assess the accuracy of the obtained material sets, two well-documented boundary value problems are modelled: one involving the long-term settlement behaviour of an embankment and the other addressing the failure load of shallow footings. The parameter determination framework proves particularly valuable in the early stages of geotechnical projects, offering enhanced insight and detailed soil characterisation when data is limited. Ongoing research aims to extend the framework by incorporating additional in situ tests and implementing statistical tools to better capture uncertainty and support informed decision-making.

Original languageEnglish
Article number3092
JournalBuildings
Volume15
Issue number17
Early online date28 Aug 2025
DOIs
Publication statusPublished - Sept 2025

Keywords

  • boundary value problems
  • cone penetration testing
  • constitutive model parameters
  • dilatometer testing
  • graph-based approach
  • in situ testing
  • numerical simulations
  • seismic shear wave velocity
  • soil parameters

ASJC Scopus subject areas

  • Architecture
  • Civil and Structural Engineering
  • Building and Construction

Fields of Expertise

  • Sustainable Systems

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