Parametric evaluation and prediction of design parameters of geofoam using artificial neural network and extreme gradient boosting models
Author:
Funder
National Highways & Infrastructure Development Corporation Limited, New Delhi, India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41062-024-01606-2.pdf
Reference80 articles.
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2. Farnsworth CB, Bartlett SF, Negussey D, Stuedlein AW (2008) Rapid construction and settlement behavior of embankment systems on soft foundation soils. J Geotech Geoenviron Eng 134:289–301. https://doi.org/10.1061/(ASCE)1090-0241(2008)134:3(289)
3. Zou Y, Small JC, Leo CJ (2000) Behavior of EPS geofoam as flexible pavement subgrade material in model tests. Geosynth Int 7:1–22. https://doi.org/10.1680/gein.7.0163
4. Puppala AJ, Ruttanaporamakul P, Congress SSC (2019) Design and construction of lightweight EPS geofoam embedded geomaterial embankment system for control of settlements. Geotext Geomembr 47:295–305. https://doi.org/10.1016/j.geotexmem.2019.01.015
5. Saride S, Puppala AJ, Williammee R, Sirigiripet SK (2010) Use of lightweight ECS as a fill material to control approach embankment settlements. J Mater Civ Eng 22:607–617. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000060
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