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http://dx.doi.org/10.9723/jksiis.2012.17.5.089

A Development of Statistical Model for Pavement Response Model  

Lee, Moon Sup (한국건설기술연구원 도로연구실)
Park, Hee Mun (한국건설기술연구원 도로연구실)
Kim, Boo Il (한국건설기술연구원 도로연구실)
Heo, Tae-Young (충북대학교 정보통계학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.17, no.5, 2012 , pp. 89-96 More about this Journal
Abstract
The Falling Weight Deflectormeter has been widely used in evaluating the structural adequacy of pavement structures. The deflections measured from the FWD are capable of estimating the stiffness of pavement layers and measuring the pavement responses in the pavement structure. The objective of paper is to develop the pavement response model using a partial least square regression technique based on the FWD deflection data. The partial least square regression method enables to solve the multicollinearity problem occurred in multiple regression model. It is also found that the pavement response model can be developed using the raw data when a partial least square regression was used.
Keywords
Falling Weight Deflectometer; Pavement; Partial Least Square Regression;
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Times Cited By KSCI : 1  (Citation Analysis)
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