Predicting the long-term performance of a wide embankment on soft soil using an elastic-viscoplastic model

This paper presents modelling of the consolidation of foundation soil under a wide embankment constructed over soft soil. An elastic-viscoplastic (EVP) constitutive model is used to represent the foundation soil for the coupled finite element analysis (FEA). A unit-cell analysis is carried out to ca...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Karim, M.R., Gnanendran, C.T., Lo, S.C.R., Mak, J.
التنسيق: مقال
منشور في: 2010
الموضوعات:
الوصول للمادة أونلاين:http://eprints.um.edu.my/8778/
http://www.scopus.com/inward/record.url?eid=2-s2.0-76749111915&partnerID=40&md5=d11f943207350e81a6caf27a7a74d6c8 www.nrcresearchpress.com/doi/abs/10.1139/T09-087 http://www.ingentaconnect.com/content/nrc/cgj/2010/00000047/00000002/art00009
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المؤسسة: Universiti Malaya
الوصف
الملخص:This paper presents modelling of the consolidation of foundation soil under a wide embankment constructed over soft soil. An elastic-viscoplastic (EVP) constitutive model is used to represent the foundation soil for the coupled finite element analysis (FEA). A unit-cell analysis is carried out to capture the maximum settlement and the development of excess pore-water pressure with time below the centreline of the embankment for a long period (9 years). A new function for capturing the varying nature of the creep or secondary compression coefficient is proposed and used in association with the EVP model. The input material parameters for this study were determined from extensive laboratory experiments except for the equivalent horizontal permeability, which was systematically estimated by using vertical permeability data obtained from one-dimensional consolidation tests and by back-analysing the first 12 months of field settlement data. Comparisons are made among the predictions obtained adopting an elastoplastic modified Cam clay model and the EVP model with constant and varying creep coefficients for the foundation soil and the corresponding field data. The predictions with the EVP model are found to be better than those with the elastoplastic model and the use of a varying creep coefficient for the EVP model seems to further improve its predicting ability.