Flexible pavement layer moduli determination : an adaptive artificial neural network approach

The estimation of pavement layer moduli through the use of an artificial neural network is a new concept which provides a less strenuous strategy for backcalculation procedures. Artificial Neural Networks are biologically inspired models of the human nervous system. They are specifically designed to...

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Bibliographic Details
Main Author:	Adeife, Michael A.
Format:	Others
Published:	FIU Digital Commons 1996
Subjects:	Civil Engineering
Online Access:	http://digitalcommons.fiu.edu/etd/1137 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2339&context=etd

id	ndltd-fiu.edu-oai-digitalcommons.fiu.edu-etd-2339
record_format	oai_dc
spelling	ndltd-fiu.edu-oai-digitalcommons.fiu.edu-etd-23392018-01-05T15:29:53Z Flexible pavement layer moduli determination : an adaptive artificial neural network approach Adeife, Michael A. The estimation of pavement layer moduli through the use of an artificial neural network is a new concept which provides a less strenuous strategy for backcalculation procedures. Artificial Neural Networks are biologically inspired models of the human nervous system. They are specifically designed to carry out a mapping characteristic. This study demonstrates how an artificial neural network uses non-destructive pavement test data in determining flexible pavement layer moduli. The input parameters include plate loadings, corresponding sensor deflections, temperature of pavement surface, pavement layer thicknesses and independently deduced pavement layer moduli. 1996-04-10T07:00:00Z text application/pdf http://digitalcommons.fiu.edu/etd/1137 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2339&context=etd FIU Electronic Theses and Dissertations FIU Digital Commons Civil Engineering
collection	NDLTD
format	Others
sources	NDLTD
topic	Civil Engineering
spellingShingle	Civil Engineering Adeife, Michael A. Flexible pavement layer moduli determination : an adaptive artificial neural network approach
description	The estimation of pavement layer moduli through the use of an artificial neural network is a new concept which provides a less strenuous strategy for backcalculation procedures. Artificial Neural Networks are biologically inspired models of the human nervous system. They are specifically designed to carry out a mapping characteristic. This study demonstrates how an artificial neural network uses non-destructive pavement test data in determining flexible pavement layer moduli. The input parameters include plate loadings, corresponding sensor deflections, temperature of pavement surface, pavement layer thicknesses and independently deduced pavement layer moduli.
author	Adeife, Michael A.
author_facet	Adeife, Michael A.
author_sort	Adeife, Michael A.
title	Flexible pavement layer moduli determination : an adaptive artificial neural network approach
title_short	Flexible pavement layer moduli determination : an adaptive artificial neural network approach
title_full	Flexible pavement layer moduli determination : an adaptive artificial neural network approach
title_fullStr	Flexible pavement layer moduli determination : an adaptive artificial neural network approach
title_full_unstemmed	Flexible pavement layer moduli determination : an adaptive artificial neural network approach
title_sort	flexible pavement layer moduli determination : an adaptive artificial neural network approach
publisher	FIU Digital Commons
publishDate	1996
url	http://digitalcommons.fiu.edu/etd/1137 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=2339&context=etd
work_keys_str_mv	AT adeifemichaela flexiblepavementlayermodulideterminationanadaptiveartificialneuralnetworkapproach
_version_	1718580847867592704

Flexible pavement layer moduli determination : an adaptive artificial neural network approach

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