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Low amplitude strain accumulation model for natural soft clays below railways
Chalmers University of Technology, Department of Architecture and Civil Engineering, SE-41296 Gothenburg, Sweden.
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.ORCID iD: 0000-0002-2215-441x
Deltares, Department of Geo-engineering, MH Delft, 2600, Netherlands.
Chalmers University of Technology, Department of Architecture and Civil Engineering, SE-41296 Gothenburg, Sweden.
2023 (English)In: Transportation Geotechnics, ISSN 2214-3912, Vol. 42, article id 101011Article in journal (Refereed) Published
Abstract [en]

An improved constitutive model for strain accumulation of natural clays under undrained cyclic loading is presented. The proposed model includes a formulation for the non-linear small-strain stiffness in the overconsolidated regime, along with a modified hardening law for cyclic accumulation to improve the tracking of strain accumulation at small stress amplitudes. To calibrate and validate the proposed model, a series of laboratory tests were conducted to study the cyclic response of natural Swedish clays, the effect of loading amplitude and pre-shearing history. Good agreement between predicted and measured accumulated axial strains and excess pore water pressures was obtained with different loading amplitudes. The findings reveal that the undrained pre-shearing has a substantial impact on the rate of accumulated strain, with pre-sheared samples exhibiting lower resistance values. The proposed and validated model opens up possibilities to study the monotonic and non-monotonic quasi-static response of soft clays below railway embankments over the lifetime of the structure, i.e. including the effects of construction, operation and decommissioning.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 42, article id 101011
Keywords [en]
Cyclic loading, Natural soft clay, Pre-shearing, Resistance concept, Strain accumulation, amplitude, numerical model, railway, soft clay, strain analysis
National Category
Geotechnical Engineering and Engineering Geology
Identifiers
URN: urn:nbn:se:hj:diva-62084DOI: 10.1016/j.trgeo.2023.101011ISI: 001027525700001Scopus ID: 2-s2.0-85162084180Local ID: HOA;intsam;894893OAI: oai:DiVA.org:hj-62084DiVA, id: diva2:1787541
Funder
Swedish Research Council FormasVinnovaAvailable from: 2023-08-14 Created: 2023-08-14 Last updated: 2025-02-07Bibliographically approved

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Ahmadi-Naghadeh, Reza

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