Development of Pavement Texture Index for Predicting Skid Resistance
Date Issued
2012
Date
2012
Author(s)
Chung, Ai-Jung
Abstract
To evaluate the skid resistance of pavement is very important. Using DFT and BPT only can evaluate the spot skid resistance, so the continuous skid resistance is unknown. However, pavement texture is the major factor to affect the pavement skid resistance. This paper uses the dynamic texture measuring meter and BPT, DFT to measure a spot pavement texture, BPN, and DFT friction coefficient. Then develop a texture index to predict the skid resistance in different speeds.
From measuring the texture profiles of 30 pavement samples in the field, and then using the PSD analysis and ISO 13565-2 method to obtain different wavelength parameters and height parameters. Take these texture parameters and BPN, DFT to regression analysis. The result shows that microtexture has little influence on DFT friction coefficient, and the wavelength which is greater than 12.8mm has influence on DFT80. The 102.4mm, 204.8mm wavelength has influence on the DFT skid resistance; the microtexture has little influence on BPN. About height parameters, core roughness depth (Rk), valley area (A2) and reduced valley depth (Rvk) are the major factors to affect the DFT skid resistance; there is insufficient relation between height parameters and BPN.
Use the texture parameters through the SPSS stepwise regression to obtain a regression equation for predicting the DFT50, DFT60 and DFT80. The R2 of predicting DFT50 and DFT60 regression equation are 0.38 and 0.51. The R2 of predicting DFT80 regression equation by choosing two texture profiles which are close to the rubber pads is 0.77, and the average error is 0.018.
Subjects
pavement texture index
British Pendulum Number (BPN)
Dynamic Friction Tester (DFT)
texture wavelength parameter
texture height parameter
Type
thesis
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