000004886 001__ 4886
000004886 005__ 20141119144602.0
000004886 04107 $$aeng
000004886 046__ $$k2002-06-02
000004886 100__ $$aNajjar, Yacoub M.
000004886 24500 $$aMODELING THE JOINT DETERIORATION BEHAVIOR OF PCC KANSAS PAVEMENTS VIA DYNAMIC ANN APPROACH

000004886 24630 $$n15.$$pProceedings of the 15th ASCE Engineering Mechanics Division Conference
000004886 260__ $$bColumbia University in the City of New York
000004886 506__ $$arestricted
000004886 520__ $$2eng$$aJoint Deterioration of PCC pavement is a process that is controlled by a variety of quantifiable and other non-easily quantifiable parameters. In this study, artificial neural network (ANN) approach was used to correlate the time-dependent joint deterioration behavior with quantifiable experimentally- based aggregate durability parameters such as durability factor, percent expansion and freeze-thaw index. To achieve this objective, the historical Kansas' pavement management system database along with corresponding aggregate and core durability reports for a number of PCC sections were combined to produce the needed time-dependent joint deterioration database. The resulting database was split into training, testing and validation sub-bases. Upon a number of ANN training, testing and validation processes, a time-dependent ANN-based joint deterioration model was developed. The developed dynamic model utilizes a number of aggregate durability factors to project the time-dependant joint deterioration behavior for up to 17 years after construction. Accordingly, model predictions for year n are sequentially used as inputs for predictions for year n+1. Overall, model predictions are noted to be logical and in good agreement with field observations. 

000004886 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004886 653__ $$aArtificial Neural Networks, Modeling, Pavement, Prediction.

000004886 7112_ $$a15th ASCE Engineering Mechanics Division Conference$$cNew York (US)$$d2002-06-02 / 2002-06-05$$gEM2002
000004886 720__ $$aNajjar, Yacoub M.
000004886 8560_ $$ffischerc@itam.cas.cz
000004886 8564_ $$s547174$$uhttps://invenio.itam.cas.cz/record/4886/files/491.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004886 962__ $$r4594
000004886 980__ $$aPAPER