A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Data Based Real Time Moisture Modeling in Unsaturated Expansive Subgrade
Pavements constructed over expansive subgrade often experience volumetric deformation due to seasonal moisture fluctuation. In addition to causing shrinkage and swelling in expansive subgrade, moisture variation alters resilient modulus, permeability, and shear strength of soil, which ultimately affects pavement performance. Monitoring the real-time variation of moisture underneath pavement can enhance the understanding of moisture patterns, which can be useful in improving the serviceability of pavement. The objective of this paper is to develop moisture variation model based on real-time monitoring data due to precipitation. A two-lane state highway in Ellis County, TX was selected for field monitoring and data acquisition. Moisture sensors were installed at different depths up to 4.5 m. The soil was found to be high plastic clay in the selected site. Based on 2 years of monitoring, the amplitude of moisture variation ranged from 1 to 14% from the existing moisture content due to rainfall. Collected data were analyzed in a non-parametric environment for temporal variation to develop real-time model development. The developed model can be used to determine the moisture fluctuation within similar pavement subgrade due to rainfall events.
Data Based Real Time Moisture Modeling in Unsaturated Expansive Subgrade
Pavements constructed over expansive subgrade often experience volumetric deformation due to seasonal moisture fluctuation. In addition to causing shrinkage and swelling in expansive subgrade, moisture variation alters resilient modulus, permeability, and shear strength of soil, which ultimately affects pavement performance. Monitoring the real-time variation of moisture underneath pavement can enhance the understanding of moisture patterns, which can be useful in improving the serviceability of pavement. The objective of this paper is to develop moisture variation model based on real-time monitoring data due to precipitation. A two-lane state highway in Ellis County, TX was selected for field monitoring and data acquisition. Moisture sensors were installed at different depths up to 4.5 m. The soil was found to be high plastic clay in the selected site. Based on 2 years of monitoring, the amplitude of moisture variation ranged from 1 to 14% from the existing moisture content due to rainfall. Collected data were analyzed in a non-parametric environment for temporal variation to develop real-time model development. The developed model can be used to determine the moisture fluctuation within similar pavement subgrade due to rainfall events.
Data Based Real Time Moisture Modeling in Unsaturated Expansive Subgrade
Ahmed, Asif (author) / Hossain, MD. Sahadat (author) / Khan, Mohammad Sadik (author) / Shishani, Aya (author)
Second Pan-American Conference on Unsaturated Soils ; 2017 ; Dallas, Texas
PanAm Unsaturated Soils 2017 ; 158-167
2018-06-20
Conference paper
Electronic Resource
English
Data Based Real Time Moisture Modeling in Unsaturated Expansive Subgrade
| British Library Conference Proceedings | 2018
Real-Time Temperature Modeling in Expansive Pavement Subgrade in Texas
| British Library Conference Proceedings | 2022
Moisture Flow in Unsaturated Subgrade Soils
| British Library Conference Proceedings | 2011
Real Time Modeling of Moisture Distribution in Subgrade Soils
| British Library Conference Proceedings | 2014