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Damaging Effect of Tree Types on Roughness Progression Rates in Pavements Characterised with Alluvial Expansive Subgrades
Abstract Any pavement founded on expansive soils subgrade is often subjected to non-uniform ground movement. Such ground movement originally initiates due to variation in soil moisture within pavement subgrade, which also results in development of shrinkage cracks, edge heaves and surface distresses. Moreover, development of alternative mounds and depressions (Gilgai) in surrounding areas can exacerbate such condition by creating undulating patterns on those subgrades. Due to the flexible behaviour of pavement, the undulation within pavement subgrade is also found to be reflected through its surface (known as roughness). It is commonly believed that trees can play a major part on subsurface moisture condition as they extract moisture from deep for photosynthesis. As withdrawal of moisture by trees can trigger expansive behaviour of soils, therefore it is expected that roadside vegetation can significantly contribute in moisture variation in subgrades and result in increased roughness progression rates. This study will evaluate the damaging effect of tree types (in terms of tree height) responsible for increased roughness progression rates in pavements characterised with medium to highly expansive subgrades. To do so, vegetation data (tree height) will be analysed against historical road roughness data for numerous sections for Borung Highway in north-western part of Victoria, Australia. Tree height of all available trees located on road reserve has been collected and analysed against historical roughness data. The outcome from this study has identified the tree categories (in terms of height) that are most responsible for increased roughness progression rates. The findings of this study can be used for efficient adaptation of improved and better pavement management strategies.
Damaging Effect of Tree Types on Roughness Progression Rates in Pavements Characterised with Alluvial Expansive Subgrades
Abstract Any pavement founded on expansive soils subgrade is often subjected to non-uniform ground movement. Such ground movement originally initiates due to variation in soil moisture within pavement subgrade, which also results in development of shrinkage cracks, edge heaves and surface distresses. Moreover, development of alternative mounds and depressions (Gilgai) in surrounding areas can exacerbate such condition by creating undulating patterns on those subgrades. Due to the flexible behaviour of pavement, the undulation within pavement subgrade is also found to be reflected through its surface (known as roughness). It is commonly believed that trees can play a major part on subsurface moisture condition as they extract moisture from deep for photosynthesis. As withdrawal of moisture by trees can trigger expansive behaviour of soils, therefore it is expected that roadside vegetation can significantly contribute in moisture variation in subgrades and result in increased roughness progression rates. This study will evaluate the damaging effect of tree types (in terms of tree height) responsible for increased roughness progression rates in pavements characterised with medium to highly expansive subgrades. To do so, vegetation data (tree height) will be analysed against historical road roughness data for numerous sections for Borung Highway in north-western part of Victoria, Australia. Tree height of all available trees located on road reserve has been collected and analysed against historical roughness data. The outcome from this study has identified the tree categories (in terms of height) that are most responsible for increased roughness progression rates. The findings of this study can be used for efficient adaptation of improved and better pavement management strategies.
Damaging Effect of Tree Types on Roughness Progression Rates in Pavements Characterised with Alluvial Expansive Subgrades
Ahmed, Md Yeasin (author) / Evans, Robert (author) / Imteaz, Monzur Alam (author)
2018-05-13
11 pages
Article/Chapter (Book)
Electronic Resource
English
Expansive soils , Gilgai , Pavement roughness progression rates , Roadside vegetation Engineering , Civil Engineering , Geotechnical Engineering & Applied Earth Sciences , Remote Sensing/Photogrammetry , Hydrology/Water Resources , Climate Change/Climate Change Impacts , Image Processing and Computer Vision
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