Open Access
Issue
E3S Web Conf.
Volume 427, 2023
International Conference on Geotechnical Engineering and Energetic-Iraq (ICGEE 2023)
Article Number 01005
Number of page(s) 8
Section Development in Geotechnical Engineering
DOI https://doi.org/10.1051/e3sconf/202342701005
Published online 13 September 2023
  1. Raheem A.M., Omar N.Q. Investigation of distinctive physico-chemical soil correlations for Kirkuk city using spatial analysis technique incorporated with statistical modeling. International Journal of Geo- Engineering. 2021;12(1):18. [CrossRef] [Google Scholar]
  2. Karkush M.O., Ahmed M.D., Sheikha A.A.-H., Al-Rumaithi, A. Thematic Maps for the Variation of Bearing Capacity of Soil Using SPTs and MATLAB. Geosciences. 2020;10(9):329. [CrossRef] [Google Scholar]
  3. Karkush M.O., Sabaa M.R., Salman A.D., Al-Rumaithi A. Prediction of bearing capacity of driven piles for Basrah governatore using SPT and MATLAB. Journal of the Mechanical Behavior of Materials. 2022;31(1):5. [Google Scholar]
  4. Raheem A.M., Naser I.J., Ibrahim M.O., Omar N.Q. Inverse distance weighted (IDW) and kriging approaches integrated with linear single and multi-regression models to assess particular physico-consolidation soil properties for Kirkuk city. Modeling Earth Systems and Environment. 2023. [Google Scholar]
  5. Awan T.A., Arshid M.U., Riaz M.S., Houda M., Abdallah M., Shahkar M., et al. Sub-Surface Geotechnical Data Visualization of Inaccessible Sites Using GIS. ISPRS International Journal of Geo-Information [Internet]. 2022; 11(7). [Google Scholar]
  6. Pekkan E.C., Emrah. The application of GIS in visualization of geotechnical data (SPT-Soil Properties): a case study in Eskisehir-Tepebasi, Turkey. 2023. [Google Scholar]
  7. Mendes R.M., Lorandi R. Analysis of spatial variability of SPT penetration resistance in collapsible soils considering water table depth. Engineering Geology. 2008;101(3):218–225. [CrossRef] [Google Scholar]
  8. Aoki N., Velloso D.A. An approximate method to estimate the bearing capacity of piles. Proc, 5th Pan- American Conf of Soil Mechanics and Foundation Engineering. 1975;1(1):367–376. [Google Scholar]
  9. Craig JKaR. Craig’s soil mechanics. London and New York: Spon Press. 2012. [Google Scholar]
  10. Bowles J. Foundation analysis and design. NewYork: McGraw-Hill. 1996. Bhuyan Md H., Rama Mohan P., Jiro K., Shinya T. GIS-Based Soil Liquefaction Hazard Zonation due to Earthquake Using Geotechnical Data. GEOMATE Journal. 2012; 2(3):154-160. [Google Scholar]
  11. Kokusho T., Yoshida Y. SPT N-Value and S-Wave Velocity for Gravelly Soils with Different Grain Size Distribution. Soils and Foundations. 1997;37(4):105–113. [CrossRef] [Google Scholar]
  12. Tokimatsu K., Yoshimi Y. EMPIRICAL CORRELATION OF SOIL LIQUEFACTION BASED ON SPT N- VALUE AND FINES CONTENT. SOILS AND FOUNDATIONS. 1983;23(4):56–74. [CrossRef] [Google Scholar]
  13. Rahman M., Nahar T.T. Effect of pH on Shear Strength Behavior of Granular Soil. Recent Trends in Civil Engineering & Technology. 2015;5(1):8–11. [Google Scholar]
  14. Nassaji F., Kalantari B. SPT capability to estimate undrained shear strength of fine-grained soils of Tehran, Iran. Electronic Journal of Geotechnical Engineering. 2011. [Google Scholar]
  15. Curtarelli M., Leão J., Ogashawara I., Lorenzzetti J., Stech J. Assessment of Spatial Interpolation Methods to Map the Bathymetry of an Amazonian Hydroelectric Reservoir to Aid in Decision Making for Water Management. ISPRS International Journal of Geo-Information. 2015;4(1):220–235. [CrossRef] [Google Scholar]
  16. Haque M.E., Sayem H.M., Kamal M. Assessment of Some Engineering Geological Aspects of the Sub-soil of Ganakbari, Dhaka, Bangladesh. Jahangirnagar University Environmental Bulletin. 2013;2(1):61–70. [CrossRef] [Google Scholar]
  17. Zhou W., Han G., Liu M., Li X. Effects of soil pH and texture on soil carbon and nitrogen in soil profiles under different land uses in Mun River Basin, Northeast Thailand. PeerJ. 2019;7(1):7880. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.