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The response of expansive soils in the form of swelling and shrinkage due to changes in water content is frequently expressed as heaving and settling of lightly loaded structures such as roads, buildings, and canal linings. Compression and/or swelling indices are used for the calculation of the consolidation settlement of fine grained soils. They are conventionally determined by laboratory oedometer tests. Because of the time and expense involved in performing consolidation tests, it is often desirable to obtain approximate values of swelling index, Cs by using other soil properties which are more easily determined. A database consisting of 102 consolidation tests from different parts of Ramadi city were compiled, identified, and used to conduct and utilized a statistical study to estimate suitable relations to determine the swelling index. this study develops the artificial neural networks based multi-layer perceptron, ANN-MLP and multiple regression, MR models. Neural model offers significant improvements in prediction accuracy of the statistical models.

The soil is considered the most abundant building material in the world and after the only local resource available to the engineer for his work. On the other hand, the inclusion of materials such as soil stabilizing agents allowed improving some of its properties (mainly strength, permeability), reducing costs and environmental effects. This research investigated the effect of Acrylic polymer addition on permeability to four types of fill soils from different areas in Anbar government by laboratory tests working (i.e. the addition of different percentage of Acrylic polymer 25%, 50%, 75%, and 90% from optimum moisture content (O.M.C).The addition of acrylic to the soils lead to significant decrease in soil permeability and this serves in improving the soil layers that are effect on stability of foundation and very necessary for sensitive structures such as hydraulic structures (reservoir dams, earth dams , ... etc.). Descriptive statistical analysis including mean comparison using Duncans Multiple Range Test (DMRT) was conducted using SPSS software.

The Light Falling Weight Deflectometer (LFWD) was developed to estimate the in-situ elastic modulus directly to the layers near the base as subgrade and subbase layers. The field tests were carried out on selected sections from landfill project within Anbar Province. Furthermore, Forty test sections have been constructed and tested at the Civil Engineering Department-University of Anbar. All sections were tested using the ZFG 3000 model -LFWD in companion with the Plate Load Test (PLT) which were used as reference measures. Regression analyzes were performed to determine the best correlation between the elastic modulus obtained from LFWD and PLT tests. ANN model was used to calculate E vd and compare the regression statistical model. It was found that the ANN model showed a higher performance than regression analysis in predicting E vd . Satisfactory correlations were obtained, which showed that LFWD could be a promising device for in-situ characterizing of subsurface and subgrade layers.