Estimating the subgrade reaction at deep braced excavation bed in dry granular soil using genetic programming (GP)

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@Article{ABOELELA:2022:RE,

• author = "Abdelrahman E. Aboelela and Ahmed M. Ebid and Ayman L. Fayed",
• title = "Estimating the subgrade reaction at deep braced excavation bed in dry granular soil using genetic programming ({GP)}",
• journal = "Results in Engineering",
• volume = "13",
• pages = "100328",
• year = "2022",
• ISSN = "2590-1230",
• DOI = "doi:10.1016/j.rineng.2021.100328",
• URL = "https://www.sciencedirect.com/science/article/pii/S2590123021001298",
• keywords = "genetic algorithms, genetic programming, Deep braced excavation, Modulus of subgrade reaction",
• abstract = "Modulus of subgrade reaction (Ks) is a simplified and approximated approach to present the soil-structure interaction. It is widely used in designing combined and raft foundations due to its simplicity. (Ks) is not a soil propriety, its value depends on many factors including soil properties, shape, dimensions and stiffness of footing and even time (for saturated cohesive soils). Many earlier formulas were developed to estimate the (Ks) value. This research is concerned in studying the effect of de-stressing and shoring rigidity of deep excavation on the (Ks) value. A parametric study was carried out using 27 FEM models with different configurations to generate a database, then a well-known {"}Genetic Programming{"} technique was applied on the database to develop a formula to correlate the (Ks) value with the deep excavation configurations. The results indicated that (Ks) value increased with increasing the diaphragm wall stiffness and decreases with increasing the excavation depth",

}

Genetic Programming entries for Abdelrahman E Aboelela Ahmed M Ebid Ayman L Fayed

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