Modeling of soil swelling via regression and neural network approaches
by
Najjar, Yacoub M., author.
Title
:
Modeling of soil swelling via regression and neural network approaches
Author
:
Najjar, Yacoub M., author.
Personal Author
:
Najjar, Yacoub M., author.
Physical Description
:
v, 37 pages : charts ; 28 cm
General Note
:
"January 1998."
Contents
:
Preview -- Methods of prediction -- Reliability of swelling prediction -- Conclusions and recommendations -- References.
Abstract
:
Damage due to swelling soil is very noticeable in a wide spectrum of structures such as roads, buildings, canal linings, landfill liners, etc. In order to control or overcome such damage, swelling soils are commonly stabilized either mechanically or chemically. To evaluate the severity of swelling and to design for the best and most economical stabilization strategy, an accurate assessment of the swell potential is required. This report uses a reasonable-sized database representing 413 soils retrieved from 45 different projects covering 28 counties in Kansas to develop prediction models. Neural network-based models and various statistical models were developed and compared for their prediction accuracy. Additionally, the reliability of model predictions were examined using an additional 101 data sets. In the second phase, predictions obtained using the developed neural network models along with the experimental database were used to produce a reliability (probability of success) factor matrix
Subject Term
:
Swelling soils -- Kansas -- Mathematical models.
Soil stabilization -- Kansas -- Mathematical models.
Neural networks (Computer science)
Neural networks.
Databases.
Mathematical models.
Neural networks (Computer science) (OCoLC)fst01036260
Soil stabilization -- Mathematical models. (OCoLC)fst01124632
Swelling soils -- Mathematical models. (OCoLC)fst01140305
Geographic Term
:
Kansas. (OCoLC)fst01204323
Added Author
:
Basheer, Imad A.,
Added Corporate Author
:
Kansas. Department of Transportation.
Kansas State University. Civil Engineering Department.
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | Status |
---|
Civil Engineering | Book | B030278 | TA710.3.K2 N35 1998 | Transportation Collection |