r - The Hong Kong Polytechnic University
r - The Hong Kong Polytechnic University
r - The Hong Kong Polytechnic University
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<strong>The</strong> 5th Cross-strait Conference on Structural and Geotechnical Engineering (SGE-5)<br />
<strong>Hong</strong> <strong>Kong</strong>, China, 13-15 July 2011<br />
IMPACT OF SPATIAL VARIABILITY ON SOIL SHEAR STRENGTH<br />
J. Ching 1 , K. K. Phoon 2 and Y. G. Hu 3<br />
1<br />
Associate Professor, Dept of Civil Engineering, National Taiwan <strong>University</strong>, Taipei, Taiwan.<br />
Email: jyching@gmail.com. Phone: 886-2-33664328. Fax: 886-2-23631558.<br />
2<br />
Professor, Dept of Civil Engineering, National <strong>University</strong> of Singapore, Singapore.<br />
3<br />
Ph.D. Student, Dept of Civil Engineering, National Taiwan <strong>University</strong>, Taipei, Taiwan.<br />
ABSTRACT<br />
<strong>The</strong> purpose of this study is to understand the mechanism of the effective shear strength for a soil mass in the<br />
presence of spatial variability. Random field finite elements are used to simulate the effective shear strength and<br />
the spatially averaging for the shear strength. Based on the simulation results, Vanmarcke’s theory is consistent<br />
with the spatially averaging for the shear strength. However, the effective shear strength is found to be close to<br />
the average shear strength along the actual slip curve, rather than the spatial averaging over the entire soil mass.<br />
KEYWORDS<br />
random field finite elements, Vanmarcke’s theory, soil shear strength, spatial variability.<br />
INTRODUCTION<br />
Soil properties in the field generally exhibit spatial variability. This is true even if the soil mass is nominally<br />
homogeneous, because small scale heterogeneity are always present due to natural geologic processes that create<br />
and continuously modify the soil in-situ. One important property is the shear strength of the soil. For most<br />
foundation engineering problems, resistances provided by soil mass are the “overall” shear strengths, which are<br />
typically related to spatial averaging over a certain region. Spatial variability is usually modeled by a<br />
homogeneous (or stationary) random field that can be characterized succinctly in a second-moment sense by a<br />
mean value at a point, a variance at a point, and a scale of fluctuation. Vanmarcke (1977) showed that the<br />
averaged property of a random field over a region has a mean value identical to the point mean, while the<br />
variance is less than the point variance.<br />
Vanmarcke’s definition of a spatial average is purely based on an integral of the random field over a given<br />
prescribed volume. <strong>The</strong> rationale is that the effective shear strength of a soil mass for a particular problem is<br />
governed by the spatial average along a slip curve and this spatial average is more relevant than the value at a<br />
point. <strong>The</strong>re appears to be an implicit assumption that the spatial average defined along a prescribed slip curve is<br />
comparable to the spatial average defined along a critical slip curve that depends on mechanics (equilibrium,<br />
compatibility, and constitutive relations) and boundary conditions. By definition, the critical slip curve is the<br />
curve producing the lowest factor of safety among all possible curves. In principle, it is clear that this critical<br />
curve is fundamentally different from an arbitrary trial slip curve that is prescribed rather than emerging as an<br />
outcome of a finite element or similar analysis. However, it is unclear at this stage if this fundamental difference<br />
would produce effective strengths that are significantly different from simple Vanmarcke-type spatial average<br />
strengths.<br />
<strong>The</strong> objective of this study is to elucidate this query. <strong>The</strong>re are limited studies in the literature that explore this<br />
query systematically. <strong>The</strong> outcome of this study is of practical significance, because it is computationally<br />
intensive to identify the critical slip curve and its associated effective strength. In contrast, the second-moment<br />
statistics of a Vanmarcke-type spatial average are available in closed-form.<br />
<strong>The</strong> above comparison is conducted through random field finite element analyses. A rectangular domain is<br />
divided into finite elements with shear strengths specified by realizations of a random field. <strong>The</strong> effective shear<br />
strength of the domain is determined by conducting plane-strain compression until failure. Discrepancies<br />
between the effective shear strength and the spatial average will be discussed. As to be expected, these<br />
discrepancies are mostly related to mechanical principles.<br />
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