Statistical evaluation of the overall strength of a soil-cement column under axial compression

Liu, Yong; Hu, Jun; Li, Yuping; Li, Lihua

doi:10.1016/j.conbuildmat.2016.11.098

Cited by 25 publications

(7 citation statements)

References 31 publications

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“…The spatial variability of soil properties following the lognormal distribution, such as Young's modulus, saturated permeability, and unsaturated hydraulic parameters, were simulated using matrix decomposition method. Liu et al (2017) [78] studied the probabilistic stability of undrained slopes using FEM and 3-D random field. In their simulation, a 3-D lognormal random field for the 3-D full model was generated.…”

Section: Settlement and Consolidation Analysismentioning

confidence: 99%

“…21). Liu et al (2017) [77] statistically evaluated the overall strength of a soil-cement column under axial compression, in which a deterministic columnar structure and a random component superimposed on the mean trend were took into consideration. The latter was simulated as a zero-mean random field following a marginal beta distribution transformed from Gaussian field.…”

Section: Structural Materials In Civil Engineeringmentioning

confidence: 99%

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Advances in Gaussian random field generation: a review

Liu

Sun

et al. 2019

Comput Geosci

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Gaussian (normal) distribution is a basic continuous probability distribution in statistics, it plays a substantial role in scientific and engineering problems that related to stochastic phenomena. This paper aims to review state of the art of Gaussian random field generation methods, their applications in scientific and engineering issues of interest, and open-source software/packages for Gaussian random field generation. To this end, first we briefly introduce basic mathematical concepts and theories in Gaussian random field, then seven commonly-used Gaussian random field generation methods are systematically presented. The basic idea, mathematical framework of each generation method are introduced in detail and comparisons of these methods are summarized. Then representative applications of Gaussian random field in various areas, especially of engineering interest in recent two decades, are reviewed. For readers' convenience, four representative example codes are provided, and several relevant up-to-date open-source software and packages that freely available from the Internet are introduced.

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Section: Settlement and Consolidation Analysismentioning

confidence: 99%

Section: Structural Materials In Civil Engineeringmentioning

confidence: 99%

Advances in Gaussian random field generation: a review

Liu

Sun

et al. 2019

Comput Geosci

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“…In accordance with the standard for soil test method (GB/T 50123-1999), the test procedure was as follows. (1) e soil was dried, crushed, and passed through a 2 mm sieve. (2) Water was added to the dry soil to natural moisture content, which was made of soil sample.…”

Section: Sample Preparationmentioning

confidence: 99%

“…Due to the rapid development of global economy, as an environmentally friendly material, soil-cement has been widely used in soft soil foundation reinforcement, slope support, and channel lining in construction projects (roads, bridges, ports, etc.) [1][2][3][4]. Soil-cement has the advantages of easy access to draw materials, low price, and convenient construction.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties, Failure Mode, and Microstructure of Soil-Cement Modified with Fly Ash and Polypropylene Fiber

Duan

Zhang

2019

Advances in Materials Science and Engineering

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In order to investigate the effects of fly ash and polypropylene fiber on mechanical properties, failure mode, and microstructure of soil-cement, the unconfined compression test, splitting tension test, and scanning electron microscopy (SEM) test of soil-cement with different polypropylene fiber contents (0%, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5% by weight of dry soil) and fly ash contents (0%, 4%, 8%, and 12% by weight of dry soil) were carried out. The compressive and tensile strengths, deformation characteristics, failure mode, and microstructure of soil-cement modified with fly ash and polypropylene fiber were analyzed. The results show that the unconfined compressive strength and splitting tensile strength of soil-cement show a trend of increasing first and then decreasing with the increase of polypropylene fiber and fly ash content. Under the condition of 0.4% polypropylene fiber and 8% fly ash, the unconfined compressive strength and the splitting tensile strength are 4.90 MPa and 0.91 MPa, respectively, which increased by 32.79% and 51.67% as compared with the plain soil-cement, respectively. When 8% fly ash was used in the experiment, the unconfined compressive peak strain and the splitting tensile peak strain of the inclusion of 0.4% polypropylene fiber were 0.0410 and 0.0196, respectively. The corresponding peak strains were increased by 20.94% and 68.97% as compared with non-fiber-stabilized soil-cement, respectively. The stress-strain curve of fly ash soil-cement modified with polypropylene fiber can be divided into compaction phase, linear rise phase, nonlinear rise phase, and failure phase. Polypropylene fiber constrains the lateral deformation of fly ash soil-cement, which improves the peak strain and the failure mode of soil-cement.

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“…This was done in order to isolate the effects caused by the geometric imperfections from those caused by the spatial variation in material properties; the latter has been considered by various investigators (e.g. Liu et al 2015;Modoni et al 2016;Liu et al 2017a). To weaken the effect of the specific strength value of jet-grout materials, all calculated stresses were normalized by q u0 .…”

Section: Finite-element Analysismentioning

confidence: 99%

Lateral compression response of overlapping jet-grout columns with geometric imperfections in radius and position

et al. 2018

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Spatial variability in the radius of a jet-grout column is commonly encountered in practice. Although various prediction models for the column radius are available, they have been generally used to predict a nominal radius. The radius variation within a column has been seldom considered. In this study, the intracolumn radius variation was simulated as a lognormal stochastic process. This was done based on the existing prediction models where the column radius can be correlated with the undrained shear strength of in situ soils. A slab consisting of overlapping jet-grout columns was considered. The slab serves as an earth-retaining stabilizing structure in a deep excavation. The effects of radius variation on the mass performance of the slab were examined with the finite-element method. In addition, the positioning errors in jet-grout columns were also investigated. Owing to the random nature of the radius variation, Monte-Carlo simulations were performed to estimate the statistical characteristics of the mass performance of the slab. A strength reduction factor was introduced and tabulated to account for the effects of geometric imperfections in the column radius and column position. With the strength reduction factor, practitioners could quantitatively evaluate the effects of these geometric imperfections in design considerations. Practical recommendations on the column length and column spacing were also proposed.

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Statistical evaluation of the overall strength of a soil-cement column under axial compression

Cited by 25 publications

References 31 publications

Advances in Gaussian random field generation: a review

Advances in Gaussian random field generation: a review

Mechanical Properties, Failure Mode, and Microstructure of Soil-Cement Modified with Fly Ash and Polypropylene Fiber

Lateral compression response of overlapping jet-grout columns with geometric imperfections in radius and position

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