Finite element prediction of long-term behaviour of a test embankment based on back-analysis of early stages

The paper presents the finite element modeling of a test embankment built at one of the construction sites of the 2016 Olympic Games in Rio de Janeiro, Brazil. The embankment was raised over 6 weeks to a height of 6.7 m, and was monitored during construction and in the following month. The experiment had to end after a month of measurements due to the need to develop the test area. Instrumentation consisted of electric piezometers, settlement plates and inclinometers. The subsoil featured a pack of sedimentary soils, including soft clays. Firstly, field and laboratory tests were evaluated for numerical modelling parameters, and a sensitivity study of the various parameters was carried out. Program PLAXIS was used with the most suitable soil models for the different soil layers. The time-dependent behaviour of the clayey layers followed Terzaghi’s consolidation theory for pore pressure dissipation coupled with a Buisman (1936)-type solution for viscous behaviour. The final analysis used parameters adjusted by back-analysis of measurements in the monitoring period (2.5 months) in a 3D model. This analysis was extended to 50 years, aiming to predict the long-term behaviour of the embankment. Results of the 50-year analysis indicated that after 20 years the excess pore pressures would have practically dissipated, but that the long-term settlement would be 2.5 times greater than that at the end of construction. Furthermore, the ground horizontal displacement would be about 4 times greater than that measured at the end of construction.

Authors

Publication Details

Journal
Soils and Rocks
Published
2025-03-18
DOI
https://doi.org/10.28927/sr.2025.003824
Citations
2
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
Field-Weighted Citation Impact
1.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite element prediction of long-term behaviour of a test embankment based on back-analysis of early stages

Francisco de Rezende Lopes, Fernando da Silva Oliveira
2 citations
Soils and Rocks
Geotechnical Engineering and Soil Mechanics
1.91
article

Finite element prediction of long-term behaviour of a test embankment based on back-analysis of early stages

Francisco de Rezende Lopes, Fernando da Silva Oliveira
article en
2 citations

Abstract

The paper presents the finite element modeling of a test embankment built at one of the construction sites of the 2016 Olympic Games in Rio de Janeiro, Brazil. The embankment was raised over 6 weeks to a height of 6.7 m, and was monitored during construction and in the following month. The experiment had to end after a month of measurements due to the need to develop the test area. Instrumentation consisted of electric piezometers, settlement plates and inclinometers. The subsoil featured a pack of sedimentary soils, including soft clays. Firstly, field and laboratory tests were evaluated for numerical modelling parameters, and a sensitivity study of the various parameters was carried out. Program PLAXIS was used with the most suitable soil models for the different soil layers. The time-dependent behaviour of the clayey layers followed Terzaghi’s consolidation theory for pore pressure dissipation coupled with a Buisman (1936)-type solution for viscous behaviour. The final analysis used parameters adjusted by back-analysis of measurements in the monitoring period (2.5 months) in a 3D model. This analysis was extended to 50 years, aiming to predict the long-term behaviour of the embankment. Results of the 50-year analysis indicated that after 20 years the excess pore pressures would have practically dissipated, but that the long-term settlement would be 2.5 times greater than that at the end of construction. Furthermore, the ground horizontal displacement would be about 4 times greater than that measured at the end of construction.

Soils and RocksVol. 48(2)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 17%
Geotechnical Engineering and Soil Mechanics
1.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.