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Texture depth prediction using distress deterioration curves
Ahmed Abed
,
Mujib Rahman
, Nick Thom
, David Hargreaves
, Linglin Li
, Gordon Airey
Civil Engineering
College of Engineering and Physical Sciences
University of Nottingham
Research output
:
Unpublished contribution to conference
›
Unpublished Conference Paper
›
peer-review
215
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Dive into the research topics of 'Texture depth prediction using distress deterioration curves'. Together they form a unique fingerprint.
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Keyphrases
Deterioration Curve
100%
Texture Depth
100%
Depth Prediction
100%
Surface Texture
85%
Road Network
28%
Master Curve
14%
Surface Condition
14%
Condition Assessment
14%
Deterioration Rate
14%
National Network
14%
Texture Deterioration
14%
Depth Data
14%
Management Tools
7%
Depth Measurement
7%
Low Threshold
7%
Fretting
7%
Pothole Formation
7%
Traffic Accidents
7%
Road Surface
7%
Skid Resistance
7%
Road Surface Texture
7%
Nottinghamshire
7%
Road Data
7%
Aquaplaning
7%
Depth Range
7%
Upper Threshold
7%
Engineering
Road
100%
Master Curve
40%
Surface Condition
40%
Road Network
40%
Road Surface
40%
Condition Assessment
40%
Fretting
20%
Highway Accidents
20%
Skid Resistance
20%
Material Science
Surface Texture
100%
Surface (Surface Science)
7%
Fretting
7%
Skid Resistance
7%