Adaptive neuro-fuzzy modeling for the swelling potential of compacted soils |
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| Authors: | C Kayadelen T Taşkıran O Günaydın M Fener |
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| Institution: | 1.Department of Civil Engineering,Kahramanmara? Süt?ü ?mam University Engineering and Architecture Faculty,Kahramanmara?,Turkey;2.Dicle University,Diyarbak?r,Turkey;3.Nigde University,Nigde,Turkey |
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| Abstract: | This paper aims to present the usability of an adaptive neuro fuzzy inference system (ANFIS) for the prediction swelling potential
of the compacted soils that are important materials for geotechnical purposes such as engineered barriers for municipal solid
waste, earth dams, embankment and roads. In this study the swelling potential that is also one of significant parameters for
compacted soils was modeled by ANFIS. For the training and testing of ANFIS model, data sets were collected from the tests
performed on compacted soils for different geotechnical application in Nigde. Four parameters such as coarse-grained fraction
ratio (CG), fine-grained fraction ratio (FG), plasticity index (PI) and maximum dry density (MDD) were presented to ANFIS
model as inputs. The results obtained from the ANFIS models were validated with the data sets which are not used for the training
stage. The analyses revealed that the predictions from ANFIS model are in sufficient agreement with test results. |
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