Deterioration modeling for condition assessment of flexible pavements considering extreme weather events

Yasamin Hashemi Tari; Salar Shahini Shamsabadi; Ralf Birken; Ming Wang

doi:10.1117/12.2084103

1 April 2015 Deterioration modeling for condition assessment of flexible pavements considering extreme weather events

Yasamin Hashemi Tari, Salar Shahini Shamsabadi, Ralf Birken, Ming Wang

Proceedings Volume 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015; 943721 (2015) https://doi.org/10.1117/12.2084103
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2015, San Diego, California, United States

Abstract

Accurate pavement management systems are essential for states’ Department Of Transportation and roadway agencies to plan for cost-effective maintenance and repair (M and R) strategies. Pavement deterioration model is an imperative component of any pavement management system since the future budget and M and R plans would be developed based on the predicted pavement performance measures. It is crucial for the pavement deterioration models to consider the factors that significantly aggravate the pavement condition. While many studies have highlighted the impact of different environmental, load, and pavement’s structure on the life cycle of the pavement, effect of extreme weather events such as Floods and Snow Storms have often been overlooked. In this study, a pavement deterioration model is proposed which would consider the effect of traffic loads, climate conditions, and extreme weather events. Climate, load and performance data has been compiled for over twenty years and for eight states using the Long Term Pavement Performance (LTPP) and National Oceanic and Atmospheric Administration (NOAA) databases. A stepwise regression approach is undertaken to quantify the effect of the extreme weather events, along with other influential factors on pavement performance in terms of International Roughness Index (IRI). Final results rendered more than 90% correlation with the quantified impact values of extreme weather events.

Citation Download Citation

Yasamin Hashemi Tari, Salar Shahini Shamsabadi, Ralf Birken, and Ming Wang "Deterioration modeling for condition assessment of flexible pavements considering extreme weather events", Proc. SPIE 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015, 943721 (1 April 2015); https://doi.org/10.1117/12.2084103

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