Deterioration Forecasting in Flexible Pavements Due to Floods and Snow Storms

Salar Shahini Shamsabadi 1 Yasamin Sadat Hashemi Tari 1 Ralf Birken 1 Ming Wang 1
1 Northeastern University [Boston]
Abstract : Roadway agencies and state DOTs utilize Pavement Management Systems (PMS) to implement cost-effective maintenance strategies. A reliable yet easily applicable model for deterioration process of pavements is an integral part of any Pavement Management System. As pavement condition grows to be one of the crucial problems facing our nation, the reliability of these deterioration prediction models becomes more important. While numerous endevours have been made to capture the effect of the environment, load and pavementÕs structure on pavement failures, only few have realized the impact of severe events such as Snow Storms and Floods on road infrastructures. First, this impact was quantified using Long Term Pavement Performance (LTPP) and National Oceanic and Atmospheric Administration (NOAA) databases with a dependable natural deterioration model. Then, a regression-based statistical approach has been undertaken to model the effect of snow storms and floods on pavement serviceablilites based on the severity of the events and condition of the pavement prior to these event. Final models rendered more than 90% correlation with the quantified impact values of snow storms and floods.
Keywords : Data fusion Multiphysics Prediction and Estimation by Calcul
Type de document :
Communication dans un congrès
Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014
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Salar Shahini Shamsabadi, Yasamin Sadat Hashemi Tari, Ralf Birken, Ming Wang. Deterioration Forecasting in Flexible Pavements Due to Floods and Snow Storms. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014. 〈hal-01021211〉

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