https://www.sudret.ibk.ethz.ch/content/dam/ethz/special-interest/baug/ibk/risk-safety-and-uncertainty-dam/publications/journal-papers/Duborg2013_preprint.pdf

Metamodel-based importance sampling for structural reliability analysis

Landslide susceptibility assessment in Lianhua County (China); a comparison between a random forest data mining technique and bivariate and multivariate statistical models

MCMC algorithms for Subset Simulation

This paper develops a Monte Carlo simulation (MCS)-based reliability analysis approach for slope stability problems and utilizes an advanced MCS method called “subset simulation” for improving effi...

Practical reliability analysis of slope stability by advanced Monte Carlo simulations in a spreadsheet

The in-situ deep mixing technique has been established as a means to effect columnar inclusions into soft ground to enhance the bearing capacity and reduce settlement. Since the inception of this method, developments in the plant and machinery, as well as associated field techniques, have surpassed the basic understanding of strength developments in high water-content clays admixed with cementing agents.In this paper an attempt is made to identify the critical factors governing the engineering behavior of cement-stabilized clay, which helps not only to control the input of cementing agent to attain strength development with curing time and clay water content, but also to understand the subsequent engineering behavior. It is revealed that the clay-water/cement ratio, $wc/ c$ is the prime parameter for the above purposes .

Engineering Behavior of Cement Stabilized Clay at High Water Content (IS-YOKOHAMA 2000「沿岸域の地盤工学における理論と実際」特集号〔英文〕)

Effects of soil spatial variability on rainfall-induced landslides

Direct measurement of the soil-water characteristic curve (SWCC) is costly and time consuming. A first-order estimate from statistical generalization of experimental data belonging to soils with similar textural and structural properties is useful. A simple approach is to fit the data with a nonlinear function and to construct an appropriate probability model of the curve-fitting parameters. This approach is illustrated using sandy clay loam, loam, loamy sand, clay, and silty clay data in Unsaturated Soil Database. This paper demonstrates that a lognormal random vector is suitable to model the curve-fitting parameters of the SWCC. Other probability models using normal, gamma, Johnson, and other distributions do not provide better fit than the proposed lognormal model. The engineering impact of adopting a probabilistic SWCC is briefly discussed by studying the uncertainty of unsaturated shear strength due to the uncertainty of SWCC.

Probabilistic Analysis of Soil-Water Characteristic Curves

An ideal solution for disposal of large volumes of unwanted dredged clays is to stabilize and use them as fill materials for land reclamations. This kind of stabilized dredged fill (SDF) requires a lower cement amount (Cm) compared with traditional cement-treated soils. Strength behavior might be different for mixes within the inactive zone (lower Cm) and those within the active zone (higher Cm). The SDF is fully/partially within the inactive zone. A new set of unconfined compressive strength (qu) data as well as qu data compiled from literature covering both lower and higher Cm are analyzed. First, main parameters governing qu of cement-stabilized clays are identified: (1) cement amount (Cm), and (2) water content (W). Then, qu behaviors in the inactive zone and active zone are compared. Results indicate that a nonlinear normalized qu-Cm trend is commonly observed in the inactive zone whereas a linear one is observed in the active zone. In both zones, the normalized qu-W curve (or normalized qm-C...

Strength of High Water-Content Marine Clay Stabilized by Low Amount of Cement

Modified Metropolis–Hastings algorithm with reduced chain correlation for efficient subset simulation

The influence of curing temperature on the strength development of concrete, mortar, or cement-stabilized granular soils has been widely reported in the literature. However, there are fewer studies focusing on cement-stabilized clay. The key difference is the presence of pozzolanic reactions in cement-stabilized clay, which give rise to more complex strength-development behaviors than those of concrete, mortar, or cement-stabilized granular soils. This paper aims to clarify this difference using extensive data collected as part of a land reclamation project in Singapore. Five different mixes of cement-stabilized Singapore marine clay are cured under different temperatures. Their strength development with time is studied by testing the specimens under unconfined compression at various curing ages (up to 1 year). The experimental results show that a higher curing temperature gives rise to not only higher short-term strengths but also higher long-term/ultimate strengths. Based on the experimental results, a model is proposed that combines the maturity theory commonly used for concrete or mortar with a proposed temperature-enhanced strength factor, which takes into account the effect of curing temperature on pozzolanic reactions occurring in cement-stabilized clay. This proposed model is validated by another independent Singapore data set and data sets collected from the literature.

A. M. Santoso

Papers

Effects of soil spatial variability on rainfall-induced landslides

Probabilistic Analysis of Soil-Water Characteristic Curves

Strength of High Water-Content Marine Clay Stabilized by Low Amount of Cement

Modified Metropolis–Hastings algorithm with reduced chain correlation for efficient subset simulation

Long-Term Effect of Curing Temperature on the Strength Behavior of Cement-Stabilized Clay