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June 20, 2026Open Access

Reduced Order Models for geotechnical predictions

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Authors

MOMao OUYANGAPAlexandros PetalasWCWilliam M. Coombs

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Overview

Randomized trial demonstrates cost-effective modeling in geotechnical engineering, suggesting improved analysis efficiency.

Key Points

  • The aim is to develop Reduced Order Models (ROMs) for efficient geotechnical predictions using fewer resources.
  • Development of a ROM based on complex finite element modeling results.
  • Analysis of surrogates, which are selected results from FE modeling.
  • Application of advanced neural operator approaches to improve prediction accuracy.
  • The ROM effectively predicts wall displacements and prop loads in large 3D braced excavations.
  • Significant reduction in computational cost and time compared to traditional FE methods.

Cite This Study

OUYANG et al. (2026) studied this question.

synapsesocial.com/papers/6a362e91db0793dc1a5363e2https://doi.org/10.53243/icsmge2026-596
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  5. 5A Structured Review of Reduced Order Modeling for Domain Decomposition Problems: State of the Art and Perspectives2026