Soft Computing-Based approaches for the Prediction of Compressive Strength of Lime-Microsilica Stabilized Clayey Soils

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Moradi:2008:CCE,

• author = "M. Moradi and A. H. Alavi and M. A. Pashabavandpour and A. H. Gandomi and A. Askarinejad",
• title = "Soft Computing-Based approaches for the Prediction of Compressive Strength of Lime-Microsilica Stabilized Clayey Soils",
• booktitle = "Proceedings of the Sixth International Symposium on Computational Civil Engineering, Computational Models for Civil Engineering",
• year = "2008",
• editor = "Constantin Ionescu and Alex Horia Barbat and Rodian Scinteie and Alina Mihaela Nicuta",
• pages = "350--365",
• address = "Iasi, Romania",
• month = "30 " # may,
• organisation = "Editura Societatii Academice Matei - Teiu Botez",
• keywords = "genetic algorithms, genetic programming, Discipulus stabilised soil, ANN, multilayer perceptron, lime, microsilica, unconfined compressive strength",
• isbn13 = "ISBN 978-973-8955-41-7",
• URL = "http://www.intersections.ro/Conferences/CCE2008.pdf",
• size = "16 pages",
• abstract = "A range of stabilisers can be added to soil to stabilise it such as Lime, cement, microsilica, or a combination of these in order to improve the engineering properties of soil. Unconfined compressive strength (UCS) as a quality of stabilised soil is generally determined from laboratory tests. For appropriate selection of stabilizers and to avoid the need for the extensive and cumbersome experimental stabilisation tests on soils for every new construction situation, it is desirable to develop a mathematical model to be capable of predicting the strength from the properties of natural soil before compaction and stabilization and stabilizer quantities and types. Hence, in the present study, we investigated the application of soft computing techniques namely, multilayer perceptron (MLP) and genetic programming (GP) for the first time in the literature in order to develop the mathematical models to be able to predict the UCS of lime-microsilica stabilised clayey soils from the influencing parameters. Subsequently, a comparison between these methods was performed in terms of prediction performance. The data for developing the models were generated through an experimental study that was conducted to obtain the UCS of some inland clayey soils.",

}

Genetic Programming entries for Mohammad Hossein Moradi A H Alavi M A Pashabavandpour A H Gandomi Amin Askarinejad

Citations