Data related to the Master thesis: Stability of closed granular filters under wave loading

DOI:10.4121/19526083.v1
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DOI: 10.4121/19526083

Datacite citation style

Tim Luijten (2022): Data related to the Master thesis: Stability of closed granular filters under wave loading. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19526083.v1
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RESEARCH INFORMATION:

Starting in the 1930’s, many research projects have been performed with the intent to establish rules, which can be used to design granular, geometrically closed filter structures for hydraulic structures. However, for the vast majority of these research projects, the filter structure was loaded by uniform flow, either in the parallel or perpendicular direction. This means that, while for filters under flow loading multiple design options and diagrams are available, the knowledge on design rules for sloped, closed filters under wave loading remained limited. These knowledge gaps mean that, in design practice, often the design criteria for closed filters under flow loading, for instance the original criterion by Terzaghi, are used for the design of closed filters under wave loading, while these have not yet been experimentally verified for this use case.

This thesis combines model test results from two historically performed experiment programs on sloped, closed granular filters under wave loading with new experiments, which were conducted especially for this thesis. By analyzing the results from these three research projects, commonly used interface stability criteria for closed granular filters are tested for use in the case of a sloped, closed granular filter under wave loading. Afterwards, a new interface stability criterion for sloped, closed granular filters under wave loading is proposed.

History

  • 2022-04-06 first online
  • 2022-04-12 published, posted

Publisher

4TU.ResearchData

Format

Wave data: .ASC (ASCII) file, generated by DASYLab Laser data: .ASC (ASCII) file, generated by DASYLab Images: .jpg file.

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering.

DATA

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