Measurement of Axial Strain of Geogrid by Optical Sensors.

FBG sensors axial strain geogrid optical sensors physical model

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Sep 2021
Historique:
received: 16 08 2021
revised: 19 09 2021
accepted: 22 09 2021
entrez: 13 10 2021
pubmed: 14 10 2021
medline: 14 10 2021
Statut: epublish

Résumé

In recent years, the technology of optical fibers has rapidly gained ground in many areas of science and industry, including the construction industry. In this article, the technology of optical fibers based on a fiber Bragg grating (FBG) was used to determine tensile forces acting in a basal reinforcement of a scaled down physical model, which included piled embankment and basal reinforcement. Installing FBG sensors on the geogrid made monitoring of axial strains possible, thus allowing determination of the behavior of the basal reinforcement of the piled embankment. On the basis of three tests performed on the physical model, numerical model calibration with the physical model was carried out using the software PLAXIS 3D Tunnel 2.4. The results showed accurate predictions, especially for the low and middle part of the measured deformations where the numerical analysis proposed a solution that can be considered as safe. Installing FBG sensors on biaxial geogrids was a bold idea that was not easy to implement. However, other possibilities have been successfully tested, such as high-frequency measurements of the response of reinforced soil structure under dynamic loading.

Identifiants

pubmed: 34640725
pii: s21196404
doi: 10.3390/s21196404
pmc: PMC8512542
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
ID : VEGA 1/0484/20
Organisme : Agentúra na Podporu Výskumu a Vývoja
ID : APVV-17-0631 CONSENS

Références

ScientificWorldJournal. 2014;2014:808075
pubmed: 24971391
Sensors (Basel). 2017 Mar 15;17(3):
pubmed: 28294995
Sensors (Basel). 2018 Sep 15;18(9):
pubmed: 30223567
Sensors (Basel). 2012;12(3):3314-26
pubmed: 22737010
Materials (Basel). 2021 Mar 30;14(7):
pubmed: 33808508
Sensors (Basel). 2017 Feb 24;17(3):
pubmed: 28245551
Sensors (Basel). 2018 Jan 26;18(2):
pubmed: 29373550
Sensors (Basel). 2019 Oct 11;19(20):
pubmed: 31614587

Auteurs

Marian Drusa (M)

Department of Geotechnics, Faculty of Civil Engineering, University of Žilina, Univerzitna 8215/1, 010 26 Žilina, Slovakia.

Ladislav Kais (L)

Tubau a. s. K Cintorínu 561/45, Bánová, 010 04 Žilina-Závodie, Slovakia.

Jozef Dubovan (J)

Department of Multimedia and Information and Communication Technology, Faculty of Electrical Engineering and Information Technology, University of Žilina, Univerzitna 8215/1, 010 26 Žilina, Slovakia.

Miroslav Markovic (M)

Department of Multimedia and Information and Communication Technology, Faculty of Electrical Engineering and Information Technology, University of Žilina, Univerzitna 8215/1, 010 26 Žilina, Slovakia.

Frantisek Bahleda (F)

Department of Construction Materials and Bridges, Faculty of Civil Engineering, University of Žilina, Univerzitna 8215/1, 010 26 Žilina, Slovakia.

Martin Mecar (M)

Department of Railway Engineering and Track Management, Faculty of Civil Engineering, University of Žilina, Univerzitna 8215/1, 010 26 Žilina, Slovakia.

Classifications MeSH