Open Access
| Issue |
E3S Web Conf.
Volume 648, 2025
International Conference on Civil, Environmental and Applied Sciences (ICCEAS 2025)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 10 | |
| Section | Civil Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202564801011 | |
| Published online | 08 September 2025 | |
- M. May, M. Dlala, A. Bedday, Engineering-geological and geotechnical investigation for risk assessment. Open Geosciences. 3, 260-270 (2011). https://doi.org/10.2478/s13533-011-0028-0 [Google Scholar]
- M.P. Crisp, M.B. Jaksa, Y.L. Kuo, Effect of borehole location on pile performance. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 16, 267–282 (2022). [Google Scholar]
- Ilyichev V.A., Mangushev R.A., Handbook of geotechnical engineering. Foundations, foundations and underground structures, (2014) 736 p. [Google Scholar]
- M.C.J. Delgado, I.C. Guerrero, The selection of soils for unstabilised earth building: A normative review. Construction and Building Materials. 21, 237–251 (2007). [Google Scholar]
- Z. Kusbergenova, A. Jumabayev, A. Tleubayeva, I. Zhumadilov, G. Tleulenova, Dependence of biopolymer activity on pH and their influence on soil moisture behavior. Technobius. 4, 0070 (2024). [Google Scholar]
- Y. Utepov, Z. Lechowicz, A. Zhussupbekov, Z. Skutnik, A. Aldungarova, T. Mkilima, The influence of material characteristics on dam stability under rapid drawdown conditions. Archives of Civil Engineering. LXVIII, 539–553 (2022). [Google Scholar]
- M.P. Crisp, M. Jaksa, Y. Kuo, Optimal Testing Locations in Geotechnical Site Investigations through the Application of a Genetic Algorithm. Geosciences. 10, 265 (2020). [Google Scholar]
- A.B. McBratney, M.L.M. Santos, B. Minasny, On digital soil mapping. Geoderma. 117, 3–52 (2003). [Google Scholar]
- S. Mussakhanova, A. Sarsembayeva, A. Zhussupbekov, P. Collins, Calculation and numerical modeling of the effect of heat and mass transfer on the properties of pile foundations in seasonally freezing soils. Technobius. 4, 0054 (2024). [Google Scholar]
- Continuum-Based Approach to Model Particulate Soil–Water Interaction: Model Validation and Insight into Internal Erosion / A. Ibrahim, M. Meguid // Processes. — 2021. — Vol. 9, No. 5. — P. 785. https://doi.org/10.3390/pr9050785 [Google Scholar]
- Y. Utepov, A. Neftissov, T. Mkilima, A. Mukhamejanova, S. Zharassov, A. Kazkeyev, A. Biloshchytskyi, Prototyping an integrated IoT-based real-time sewer monitoring system using low-power sensors. Eastern-European Journal of Enterprise Technologies. 3, 6–23 (2023). [Google Scholar]
- S. Zarco-Perello, N. Simões, Ordinary kriging vs inverse distance weighting: spatial interpolation of the sessile community of Madagascar reef, Gulf of Mexico. PeerJ. 5. e4078 (2017). [Google Scholar]
- H.-S. Kim, C.-G. Sun, M. Kim, H.-I. Cho, M.-G. Lee, GIS-Based Optimum Geospatial Characterization for Seismic Site Effect Assessment in an Inland Urban Area, South Korea. Applied Sciences. 10, 7443 (2020). [Google Scholar]
- K. Krivoruchko, Empirical Bayesian Kriging: Implemented in ArcGIS Geostatistical Analyst. ArcUser, 15, 6–10 (2012). [Google Scholar]
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