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Pinnaduwa H.S.W. Kulatilake
Researcher at Jiangxi University of Science and Technology
Publications - 160
Citations - 4923
Pinnaduwa H.S.W. Kulatilake is an academic researcher from Jiangxi University of Science and Technology. The author has contributed to research in topics: Rock mass classification & Joint (geology). The author has an hindex of 36, co-authored 154 publications receiving 3947 citations. Previous affiliations of Pinnaduwa H.S.W. Kulatilake include China University of Geosciences (Wuhan) & University of Arizona.
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New peak shear strength criteria for anisotropic rock joints
TL;DR: In this paper, the authors proposed to combine the fractal dimension D with a parameter which is negatively correlated to D and also has the potential to compensate for the errors caused by an inaccurate D, and to use the combined parameter to quantify stationary roughness in practice.
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Estimation of mean trace length of discontinuities
TL;DR: In this article, a technique for estimating the mean trace length on infinite, vertical sections from the observations made on finite, rectangular, vertical exposures is proposed, which is applicable to discontinuities whose orientation is described by a probability distribution function.
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Physical and particle flow modeling of jointed rock block behavior under uniaxial loading
TL;DR: In this paper, the effect of joint geometry parameters on the uniaxial compressive strength of jointed blocks was investigated and the results of the experiments and numerical simulations were presented.
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Joint network modelling with a validation exercise in Stripa mine, Sweden
TL;DR: In this paper, eight joint geometry modelling schemes are suggested and applied to a set of Stripa mine joint data to build 3D joint networks to a granitic rock mass, and the results show the possibility of obtaining different estimates for both joint size and joint intensity parameters through different schemes.
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Natural rock joint roughness quantification through fractal techniques
TL;DR: In this article, a highly refined variogram technique was used to investigate possible existence of anisotropy in natural rock joint roughness, and a new technique was introduced to study the effect of scale on two-dimensional roughness variability.