Sensitivity of road unevenness indicators to short wavelength distresses in Portland cement concrete surfaces

This paper examined the sensitivity of 20 road unevenness indicators (RUIs) for local discontinuities (various distresses, joints, joint and surface defects, cracks, spalls, other road features, humps, dips, etc.) of a maximum length of 20 cm in Portland cement concrete pavements. Approximately, 550...

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Bibliographic Details
Published in:The international journal of pavement engineering 2018-10, Vol.19 (10), p.901-916
Main Author: Múčka, Peter
Format: Article
Language:English
Subjects:
Cement
Concrete pavements
crack
distress
Elevation
Filtration
Indicators
International Roughness Index (IRI)
joint
Longitudinal road profile
Parameter sensitivity
Portland cements
power spectral density (PSD)
Profilograph Index (PrI)
ride number (RN)
road roughness
Sensitivity
slab
straightedge
Surface defects
Unevenness
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Summary:This paper examined the sensitivity of 20 road unevenness indicators (RUIs) for local discontinuities (various distresses, joints, joint and surface defects, cracks, spalls, other road features, humps, dips, etc.) of a maximum length of 20 cm in Portland cement concrete pavements. Approximately, 5500 road records totalling 530 km from the Long-Term Pavement Performance programme were processed. Raw profiles were separated into random and distress components using a median filtering method. The median filter was set to identify distress of a maximum length of 20 cm and with a minimal height of 3 mm. Over 26,000 distresses and their dimensions were identified. Raw longitudinal road profiles were compared with the separated pure random components. The most sensitive indicators of distresses were road elevation spectrum parameters in whole- and short-wave bands, the Profile Index and the road elevation root mean square (RMS) value in the short-wave band. Negligible sensitivity was observed for the International Roughness Index, road elevation RMS values and spectrum parameters in long- and medium-wave bands. The influence of road data pre-processing on the results was estimated.
ISSN:1029-8436
1477-268X
DOI:10.1080/10298436.2016.1224409