Estimating the subgrade reaction at deep braced excavation bed in dry granular soil using genetic programming (GP)
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @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
Citations