Zoning of Soil Media by Raster Scan Algorithms for Two-Dimensional Steady State Flow
- DOI
- 10.2991/978-94-6463-258-3_7How to use a DOI?
- Keywords
- Seepage; Raster Scan Algorithm; Pixel Matrix; Zoning of Soil Media
- Abstract
A method for representation of soil media and boundary conditions in a cross section of ground layers is presented. The method is based on algorithms used in computer graphics, called raster scan algorithms, RSA. The method may be applied to various soil mechanics solutions, especially slope stability problems. In this article it is applied to steady state two-dimensional groundwater flow. Seepage equations are modified to finite difference equations that can be used with the raster scan algorithms. The method is used to determine total head, pressure head and flow rates at any soil point (pixel). Most of the characteristic problems in groundwater flow are easily treated with RSA method such as, anisotropy, multi soil layers, pockets of special soils, different boundary conditions, confined and unconfined flow, and flow to wells.
Verifications included flow around a sheet pile, flow through earth dam and flow under a concrete dam. RSA method shows very promising to solve geotechnical problems efficiently.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ahmed Al-Mufty PY - 2023 DA - 2023/11/08 TI - Zoning of Soil Media by Raster Scan Algorithms for Two-Dimensional Steady State Flow BT - Proceedings of the Rocscience International Conference (RIC 2023) PB - Atlantis Press SP - 68 EP - 78 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-258-3_7 DO - 10.2991/978-94-6463-258-3_7 ID - Al-Mufty2023 ER -