Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling

The Nerang Broadbeach Roadway (NBR) embankment in Australia is founded on soft clay deposits. The embankment sections were preloaded and surcharged-preloaded to limit the post-construction deformation and to avoid stability failure. In this paper, we discuss the NBR embankment’s geology, geotechnica...

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Main Authors: Mohammad Nurul Islam, Carthigesu T. Gnanendran, Siva T. Sivakumar
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Mechanics
Subjects:
Online Access:https://www.mdpi.com/2673-3161/3/1/2
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author Mohammad Nurul Islam
Carthigesu T. Gnanendran
Siva T. Sivakumar
author_facet Mohammad Nurul Islam
Carthigesu T. Gnanendran
Siva T. Sivakumar
author_sort Mohammad Nurul Islam
collection DOAJ
description The Nerang Broadbeach Roadway (NBR) embankment in Australia is founded on soft clay deposits. The embankment sections were preloaded and surcharged-preloaded to limit the post-construction deformation and to avoid stability failure. In this paper, we discuss the NBR embankment’s geology, geotechnical properties of the subsurface, and long-term field monitoring data from settlement plates and piezometers. We demonstrate a comparison of cone penetration test (CPT) and piezo cone dissipation test (CPT-u) interpreted geotechnical properties and the NBR embankment’s foundation stratification with laboratory and field measured data. We also developed two elasto-viscoplastic (EVP) models for long-term performance prediction of the NBR embankment. In this regard, we considered both the associated and the non-associated flow rule in the EVP model formulation to assess the flow rule effect of soft clay. We also compared EVP model predictions with the Modified Cam Clay (MCC) model to evaluate the effect of viscous behavior of natural Estuarine clay. Both EVP models require six parameters, and five of them are similar to the MCC model. We used the secondary compression index of clay in the EVP model formulations to include the viscous response of clay. We obtained numerical models’ parameters from laboratory tests and interpretation of CPT and CPTu data. We observed that the EVP models predicted well compared with the MCC model because of the inclusion of soft clay’s viscosity in the EVP models. Moreover, the flow rule effect in the embankment’s performance predictions was noticeable. The non-associated flow rule EVP model predicted the field monitoring settlement and pore pressure better compared to the MCC model and the associated flow EVP model.
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spelling doaj.art-7eec47d762e74798b9e4c2f3ef0bcf772023-11-30T20:48:26ZengMDPI AGApplied Mechanics2673-31612021-12-0131144510.3390/applmech3010002Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical ModelingMohammad Nurul Islam0Carthigesu T. Gnanendran1Siva T. Sivakumar2WSP-USA, Morristown, NJ 07960, USASchool of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, AustraliaQueensland Department of Transport and Main Roads, Brisbane, QLD 4000, AustraliaThe Nerang Broadbeach Roadway (NBR) embankment in Australia is founded on soft clay deposits. The embankment sections were preloaded and surcharged-preloaded to limit the post-construction deformation and to avoid stability failure. In this paper, we discuss the NBR embankment’s geology, geotechnical properties of the subsurface, and long-term field monitoring data from settlement plates and piezometers. We demonstrate a comparison of cone penetration test (CPT) and piezo cone dissipation test (CPT-u) interpreted geotechnical properties and the NBR embankment’s foundation stratification with laboratory and field measured data. We also developed two elasto-viscoplastic (EVP) models for long-term performance prediction of the NBR embankment. In this regard, we considered both the associated and the non-associated flow rule in the EVP model formulation to assess the flow rule effect of soft clay. We also compared EVP model predictions with the Modified Cam Clay (MCC) model to evaluate the effect of viscous behavior of natural Estuarine clay. Both EVP models require six parameters, and five of them are similar to the MCC model. We used the secondary compression index of clay in the EVP model formulations to include the viscous response of clay. We obtained numerical models’ parameters from laboratory tests and interpretation of CPT and CPTu data. We observed that the EVP models predicted well compared with the MCC model because of the inclusion of soft clay’s viscosity in the EVP models. Moreover, the flow rule effect in the embankment’s performance predictions was noticeable. The non-associated flow rule EVP model predicted the field monitoring settlement and pore pressure better compared to the MCC model and the associated flow EVP model.https://www.mdpi.com/2673-3161/3/1/2claypreloadingsettlementcone penetration testelasto-viscoplastic modelflow rule
spellingShingle Mohammad Nurul Islam
Carthigesu T. Gnanendran
Siva T. Sivakumar
Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling
Applied Mechanics
clay
preloading
settlement
cone penetration test
elasto-viscoplastic model
flow rule
title Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling
title_full Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling
title_fullStr Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling
title_full_unstemmed Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling
title_short Interpretation of Cone Penetration Test Data of an Embankment for Coupled Numerical Modeling
title_sort interpretation of cone penetration test data of an embankment for coupled numerical modeling
topic clay
preloading
settlement
cone penetration test
elasto-viscoplastic model
flow rule
url https://www.mdpi.com/2673-3161/3/1/2
work_keys_str_mv AT mohammadnurulislam interpretationofconepenetrationtestdataofanembankmentforcouplednumericalmodeling
AT carthigesutgnanendran interpretationofconepenetrationtestdataofanembankmentforcouplednumericalmodeling
AT sivatsivakumar interpretationofconepenetrationtestdataofanembankmentforcouplednumericalmodeling