Three-dimensional inverse analyses of a deep excavation in Chicago clays

Youssef M.A. Hashash, Hwayeon Song, Abdolreza Osouli

Research output: Contribution to journalArticlepeer-review


Numerical models are commonly used to estimate excavation-induced ground movements. Two-dimensional (2D) plain strain assumption is typically used for the simulation of deep excavations which might not be suitable for excavations where three-dimensional (3D) effects dominate the ground response. This paper adapts an inverse analysis algorithm to learn soil behavior from field measurements using a 3D model representation of an excavation. The paper describes numerical issues related to this development including the generation of the 3D model mesh from laser scan images of the excavation. The inverse analysis to extract the soil behavior in 3D is presented. The model captures the measured wall deflections. Although settlements were not sufficiently measured, the predicted settlements around the excavation site reflected strong 3D effects and were consistent with empirical correlations.

Original languageEnglish (US)
Pages (from-to)1059-1075
Number of pages17
JournalInternational Journal for Numerical and Analytical Methods in Geomechanics
Issue number9
StatePublished - Jun 25 2011


  • Inverse analysis
  • Neural network material models
  • Soil behavior
  • Supported excavation
  • Three-dimensional simulation

ASJC Scopus subject areas

  • Computational Mechanics
  • Materials Science(all)
  • Geotechnical Engineering and Engineering Geology
  • Mechanics of Materials


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