Metamodelos em engenharia geotécnica: aplicação à retroanálise de estruturas geotécnicas
File(s)
Published version
Author(s)
Taborda, David MG
Pedro, António MG
Matos Fernandes, Manuel
Almeida e Sousa, Jorge
Type
Journal Article
Abstract
This paper presents a methodology for the back-analysis of complex geotechnical structures
using metamodels, illustrated through the multi-propped deep excavation at Tottenham Court Road station,
London. A database of 1943 finite element analyses was generated by varying 18 model parameters, from
which six metamodels were trained, one per excavation phase, achieving coefficients of determination
exceeding 0.977 on the test dataset. The parameters with the greatest influence on the wall movements were
identified through a global sensitivity study based on Sobol indices. Back analysis of the deep excavation was
performed by coupling the metamodels with a genetic algorithm. The calibrated parameters were verified
against an independent finite element model, confirming the reliability of the proposed workflow and its
suitability for implementation within the observational method.
using metamodels, illustrated through the multi-propped deep excavation at Tottenham Court Road station,
London. A database of 1943 finite element analyses was generated by varying 18 model parameters, from
which six metamodels were trained, one per excavation phase, achieving coefficients of determination
exceeding 0.977 on the test dataset. The parameters with the greatest influence on the wall movements were
identified through a global sensitivity study based on Sobol indices. Back analysis of the deep excavation was
performed by coupling the metamodels with a genetic algorithm. The calibrated parameters were verified
against an independent finite element model, confirming the reliability of the proposed workflow and its
suitability for implementation within the observational method.
Date Issued
2026-07-31
Date Acceptance
2026-07-01
Citation
Geotecnia, 2026, 167 (167), pp.53-82
ISSN
0379-9522
Publisher
Coimbra University Press
Start Page
53
End Page
82
Journal / Book Title
Geotecnia
Volume
167
Issue
167
Copyright Statement
c) 2026 David M. G. Taborda, António M. G. Pedro, Manuel Matos Fernandes, Jorge Almeida e Sousa Creative Commons License This work is published under the Creative Commons Attribution 4.0 International License.
License URL
Publication Status
Published
Date Publish Online
2026-07-31