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:1.4496

  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 =          "",
  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