Analysis of Geogrid Reinforced Structures with a Passive Facing System Using Different Computational Methods Article Swipe
Monika Súľovská
,
Jakub Stacho
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2478/cee-2021-0052
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2478/cee-2021-0052
The article deals with designing and analysing a wrapped geogrid reinforced structure (GRS) with a passive facing system. The analysis has been done using analytical calculation and numerical modelling. The analytical calculations were executed using FINE Geo5 geotechnical software, and numerical modelling was executed using Plaxis 2D software. The analysis is focused mainly on comparing tension forces in geogrids and the stability of the reinforced embankment determined using both computational methods. The deformation analysis was done only using numerical modelling. The numerical modelling allowed for a more detailed analysis of the wrapped GRS. Each construction phase was modelled step by step according to an actual construction procedure. Two complex road embankments supported by GRS were modelled and analysed. The first model consisted of three GRS, which not affected each other. In the second model, the GRS at each side of the embankment influenced each other. The analysis results showed that tension forces in geogrids, determined using both computational methods, can differ significantly from each other. The stability of the reinforced embankment determined using numerical modelling was within the range of 0.87 – 1.22 of the stability determined using analytical calculation. The numerical modelling results showed that the final horizontal deformation of the passive facing is about 2.8 – 3.8 times smaller than the deformation of the wrapped GRS, which occurs during the construction of the embankment.
Related Topics
Concepts
Geogrid
Numerical analysis
Deformation (meteorology)
Levee
Geotechnical engineering
Stability (learning theory)
Structural engineering
Tension (geology)
Numerical modeling
Software
Solid mechanics
Range (aeronautics)
Engineering
Geology
Computer science
Mathematics
Materials science
Reinforcement
Machine learning
Geophysics
Oceanography
Mathematical analysis
Aerospace engineering
Programming language
Composite material
Ultimate tensile strength
Metallurgy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2478/cee-2021-0052
- https://www.sciendo.com/pdf/10.2478/cee-2021-0052
- OA Status
- gold
- Cited By
- 10
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3213708309
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3213708309Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2478/cee-2021-0052Digital Object Identifier
- Title
-
Analysis of Geogrid Reinforced Structures with a Passive Facing System Using Different Computational MethodsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-16Full publication date if available
- Authors
-
Monika Súľovská, Jakub StachoList of authors in order
- Landing page
-
https://doi.org/10.2478/cee-2021-0052Publisher landing page
- PDF URL
-
https://www.sciendo.com/pdf/10.2478/cee-2021-0052Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.sciendo.com/pdf/10.2478/cee-2021-0052Direct OA link when available
- Concepts
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Geogrid, Numerical analysis, Deformation (meteorology), Levee, Geotechnical engineering, Stability (learning theory), Structural engineering, Tension (geology), Numerical modeling, Software, Solid mechanics, Range (aeronautics), Engineering, Geology, Computer science, Mathematics, Materials science, Reinforcement, Machine learning, Geophysics, Oceanography, Mathematical analysis, Aerospace engineering, Programming language, Composite material, Ultimate tensile strength, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 1, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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