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Derivation of space-resolved normal joint spacing and in situ block size distribution data from terrestrial LIDAR point clouds in a rugged Alpine relief (Kühtai, Austria)

DOI:10.1007/s10064-018-1374-7 期刊:Bulletin of Engineering Geology and the Environment 出版年份:2018 更新时间:2025-09-23 15:23:52
摘要: Terrestrial laserscan (TLS) surveys allow the geological investigation of rock slopes, which cannot be measured by direct surveys because of inaccessibility, high hazard potential or excessive effort. The normal joint spacing and the in situ block size distribution are relevant properties for rock mass characterisation but are commonly evaluated statistically or at small regions only. This study presents the jointing characterisation of an Alpine rock slope by both scanline data and a new, automated analysis of point cloud data. The slope, located in the L?ngental (Austria), is characterised by a rugged Alpine relief and granodioritic gneisses fractured by non-persistent joints. The scanline data and the TLS surveys were used to investigate joint set orientations, normal joint spacings and in situ block sizes. Area-wide maps of rock slope properties were prepared from the results of the point cloud analysis. The general results derived from the point clouds are in good agreement with the scanline data. The space-resolved maps show larger block sizes in some of the higher ranging sub-regions and small block sizes in tectonically formed gullies, as well as various local variations. These visualisations are much more beneficial for most rock mechanical questions than common statistical data evaluation approaches using pre-defined sub-regions, which are treated as homogenous areas and thus are missing space-resolved information.
作者: Volker Wichmann,Thomas Strauhal,Christine Fey,Sebastian Perzlmaier
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To derive space-resolved normal joint spacing and in situ block size distribution data from terrestrial LIDAR point clouds in a rugged Alpine relief for improved rock mass characterisation.

The automated point cloud analysis provides space-resolved data on joint spacing and block sizes that agree well with traditional scanline methods. It reveals significant spatial heterogeneities in rock mass properties, which are beneficial for geotechnical applications like rockfall analysis and quarry planning. Future work should include 3D visualizations for steeper slopes and integration with kinematic analyses.

The approach may not detect joints that are not exposed at the rock surface, such as those only visible as traces. Large distances between scanner and slope can reduce accuracy and detail. Non-persistent joints lead to underestimation of real block sizes in calculations. The method requires adjustment of parameters for different point cloud characteristics and may not handle very steep slopes well without 3D visualization.

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