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Reliability-based verification of serviceability limit states of dry deep mixing columns
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0001-5372-7519
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0001-9615-4861
2021 (English)In: Journal of Geotechnical and Geoenvironmental Engineering, ISSN 1090-0241, E-ISSN 1943-5606, Vol. 147, no 3, article id 04020183Article in journal (Refereed) Published
Abstract [en]

Deep mixing columns commonly are used to reduce settlement under road and railway embankments on soft soils. However, the structural behavior of the soil volume improved with columns is difficult to predict, due to the existence of considerable uncertainties in the mixing process and the structural interaction between the columns and the untreated soil. This paper probabilistically investigated two serviceability limit states of deep mixing columns from a system reliability perspective. A design framework employing the observational method is proposed that considers allowable residual settlements, excessive settlement from column yielding, and the curing time of the columns. The design framework facilitates an effective reduction of the geotechnical uncertainty during construction and promotes risk-aware decision-making during both design and construction of the embankment.

Place, publisher, year, edition, pages
Reston, 2021. Vol. 147, no 3, article id 04020183
Keywords [en]
Deep mixing; Serviceability; Observational method; Reliability-based design; Embankment
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Civil and Architectural Engineering, Soil and Rock Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-290163DOI: 10.1061/(ASCE)GT.1943-5606.0002458ISI: 000616522800018Scopus ID: 2-s2.0-85098655712OAI: oai:DiVA.org:kth-290163DiVA, id: diva2:1528123
Note

QC 20210215

Available from: 2021-02-12 Created: 2021-02-12 Last updated: 2025-02-07Bibliographically approved

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Spross et al 2021_Dry deep mixing columns(488 kB)279 downloads
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Spross, JohanBergman, NiclasLarsson, Stefan

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