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S. Bandis

Researcher at University of Leeds

Publications -  11
Citations -  4244

S. Bandis is an academic researcher from University of Leeds. The author has contributed to research in topics: Shear (geology) & Joint (geology). The author has an hindex of 7, co-authored 11 publications receiving 3683 citations.

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Fundamentals of rock joint deformation

TL;DR: In this article, the deformation characteristics of rock joints under normal and shear loading were investigated by conducting loading/unloading and repeated load cycling tests on a wide variety of fresh and weathered joints in five different rock types.
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Strength, deformation and conductivity coupling of rock joints

TL;DR: In this paper, the results of many years of research on joint properties are synthesized in a coupled joint behaviour model, which simulates stress and size-dependent coupling of shear stress, diplacement, dilation and conductivity.
Journal ArticleDOI

Experimental studies of scale effects on the shear behaviour of rock joints

TL;DR: In this article, the effect of scale on the shear behavior of joints is studied by performing direct shear tests on different sized replicas cast from various natural joint surfaces, and it is shown that scale effects are more pronounced in the case of rough, undulating joints, whereas they are virtually absent for planar joints.

Experimental studies of scale effects on the shear behaviour of rock joints

TL;DR: In this paper, the effect of scale on the shear behavior of joints is studied by performing direct shear tests on different sized replicas cast from various natural joint surfaces, and it is shown that scale effects are more pronounced in the case of rough, undulating joints, whereas they are virtually absent for planar joints.

Review of predictive capabilities of JRC-JCS model in engineering practice

Nick Barton, +1 more
TL;DR: The database used in developing the Barton-Bandis joint model is reviewed in this article, where it is shown how tilt testing to obtain JRC is extrapolated both in terms of stress and sample size.