Affiliation:
1. Civil Engineering Department, National Research Centre Cairo, Egypt
Abstract
Compaction of soils is aimed at improving their mechanical properties to fulfil the requirements of earthwork projects. In this paper an artificial neural network (ANN) model was developed to predict the two main compaction parameters: the maximum dry unit weight (γdry max) and the optimum moisture content (womc). The study was performed based on the results of modified Proctor tests (ASTM D 1557). Based on the ANN model, empirical equations were developed to predict the compaction characteristics of graded cohesionless soils. The predicted values using the ANN model and the empirical equations were compared with a set of laboratory measurements. A parametric study on the developed equations was performed to present the control parameters that set the values of γdry max and womc.
Subject
Mechanics of Materials,Soil Science,Geotechnical Engineering and Engineering Geology,Building and Construction
Cited by
10 articles.
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