Deformational Assessment of Shallow Footings Founded on Carbonate Sand
Hossam Eldin A. Ali
Hossam Eldin A. Ali, Associate Professor, Department of Geotechnical, Structural Engineering , Faculty of Engineering, Ain Shams University, Egypt.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2710-2721 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6345018520/2020©BEIESP | DOI: 10.35940/ijrte.E6345.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Carbonate (calcareous) sandy soils are well known to be prone to crushability and to have higher compressibility compared to siliceous sands. This study assess the deformational behavior of carbonate (calcareous) sand under shallow footings by carrying out back analyses load tests of twelve full-scale footings founded on improved carbonate (calcareous) sand fill and uniformly loaded up to the allowable bearing pressure. The footings are reinforced concrete isolated pads ranging from 1.5×1.5 m up to 3×3 m in size. These full-scale loading tests are combined with extensive in-situ static cone penetration tests carried out under the location of each footing to test the foundation soil. The recoded measurements of these full-scale load tests are utilized to measure the immediate settlements of the sand fill under variable stresses and to extrapolate long-term (creep) settlement as wells. Based on the analyzed results, comprehensive back analyses were carried out to validate several commonly-used settlement prediction formulae, including Schmertmann’s method (Schmertmann et al., 1978) and Meyerhof (1965 and 1974) for utilization validation with carbonate (calcareous) coarse-grained materials.
Keywords: CPT, Calcareous Sand, Carbonate sand, Settlement, shallow Foundations, Schmertmann method.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.