Abstract
To study texture of pavement surfaces and its effect on pavement friction, this article features a field experiment conducted on in-service pavements to characterize surface texture by spectral analysis to substantiate links to friction values. Pavement friction was measured using a Mu-meter and British pendulum tester whereas texture data was collected using a stationary laser profilometer. Texture spectra were analyzed and expressed in third octave bands. The correlation between texture spectral levels and friction values at different speeds are discussed in the paper. Results show that the texture level, including spectral band levels, can well represent texture characteristics, as texture spectral levels have a good correlation with friction coefficient, especially the texture level of texture wavelengths at 1.25–12.5 mm versus SFCsl (representing the slope of the side force coefficient (SFC) versus speed), i.e., the slope of friction versus speed. This friction parameter gives better correlations with texture parameters than friction values at different speeds, which is believed to be an effect of the drainage caused by texture in that wavelength range.
Highlights
IntroductionPavement surface texture is defined as the deviation of a pavement surface from a true planar surface within a specified texture wavelength range [2]
Pavement friction is one of the key elements required for ensuring highway safety [1] as it represents the force that resists the relative motion between a vehicle tire and a pavement surface.The friction developed at the tire/pavement interaction is strongly affected by pavement surface texture.Pavement surface texture is defined as the deviation of a pavement surface from a true planar surface within a specified texture wavelength range [2]
This study explores the relations between pavement friction and surface texture by using spectral analysis based on field experiments
Summary
Pavement surface texture is defined as the deviation of a pavement surface from a true planar surface within a specified texture wavelength range [2]. These deviations may be described in the frequency domain and are defined by the texture wavelength, λ, and the peak-to-peak amplitude, A, of its components. This is referred to as the texture spectrum in a way similar to acoustic or vibration spectral analyses [3]. Pavement surface texture is generally divided into three categories [2]:
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
