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A METHOD OF EVALUATION FOR TWO- AND THREE-DIMENSIONAL DISCONTINUITY NETWORKS

Yuzo OHNISHI, Hiroyuki Kagimoto

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Abstract

It is natural that rock mass has many discontinuities. Detection of discontinuities is one of the most important factors for site characterization. Mapping of discontinuity networks along a scanline or on a defined area is an established technique for sampling the attitude and spacings of the discontinuities. However, the method to evaluate and simulate rock discontinuities is not established yet. This paper describes two- and three-dimensional modeling methods for discontinuous rock masses based on the quantitative estimation of the discontinuity distribution. Several techniques to interpret discontinuity mapping data have been proposed and evaluated.

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It is natural that rock mass has many discontinuities. Detection of discontinuities is one of the most important factors for site characterization. Mapping of discontinuity networks along a scanline or on a defined area is an established technique for sampling the attitude and spacings of the discontinuities. However, the method to evaluate and simulate rock discontinuities is not established yet. This paper describes two- and three-dimensional modeling methods for discontinuous rock masses based on the quantitative estimation of the discontinuity distribution. Several techniques to interpret discontinuity mapping data have been proposed and evaluated.

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Available abstract

It is natural that rock mass has many discontinuities. Detection of discontinuities is one of the most important factors for site characterization. Mapping of discontinuity networks along a scanline or on a defined area is an established technique for sampling the attitude and spacings of the discontinuities. However, the method to evaluate and simulate rock discontinuities is not established yet. This paper describes two- and three-dimensional modeling methods for discontinuous rock masses based on the quantitative estimation of the discontinuity distribution. Several techniques to interpret discontinuity mapping data have been proposed and evaluated.

Key concepts: Classification of discontinuities, Discontinuity (linguistics), Rock mass classification, Geology, Sampling (signal processing), Geometry, Computer science, Mathematics

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