• Title/Summary/Keyword: Portable Laser Profiler(PLP)

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Estimation of Tire-Pavement Noise for Asphalt Pavement by Mean Profile Depth (Mean Profile Depth를 이용한 아스팔트 포장의 타이어-노면소음 산정 연구)

  • Hyun, Tak Jib;Hong, Seong Jae;Kim, Hyung Bae;Lee, Seung Woo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.4
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    • pp.1631-1638
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    • 2013
  • Distress data, IRI, etc. are important factors in the evaluation of pavement condition. Recently, the need to consider tire-pavement noise in PMS (pavement management system) is raised. Generally, tire-pavement noise highly depends on the characteristics of pavement texture. Therefore, estimation of texture characteristics may give useful information to predict tire-pavement noise. Measurement of MPD (Mean Profile Depth) by using PLP (Portable Laser Profiler) provide very fast. The texture characteristics by means of MPD can be in a short time. hence, It can be a good alternative to give noise information, if MPD and tire-pavement noise have robust relationship. In this study, MPD and tire-pavement noise were simultaneously collected on the number of asphalt section to evaluate the tire-pavement noise due to the pavement texture characteristics. A set of statistical analysis was performed to propose relationship between tire-pavement noise and MPD for asphalt concrete pavement.

Estimation of Tire-Pavement Noise for Concrete Pavement by using Mean Profile Depth (Mean Profile Depth를 이용한 콘크리트 포장의 타이어-노면소음 산정)

  • Hong, Seong Jae;Hyun, Tak Jib;Lee, Seung Woo;Kim, Hyung Bae;Kwon, Oh Sun
    • International Journal of Highway Engineering
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    • v.15 no.3
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    • pp.9-16
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    • 2013
  • PURPOSES: There is a need to develop a method to incorporate tire-pavement noise in the pavement management system. Tire-pavement noise highly depends on the characteristics of pavement texture. Therefore, estimation of texture characteristics may give useful information to predict tire-pavement noise. This study aimed to find the relationship between tire-pavement noise and MPD(Mean Profile Depth) for concrete pavement. METHODS: MPD and tire-pavement noise were collected on the number of expressway sections including Central Inland Test Road in Korea. Statistical analysis was performed to find the correlationship between MPD and tire-pavement noise. In addition, multiple regression analysis to find the tire-pavement noise based on MPD and type of concrete pavement texture. RESULTS: Linear relationship between MPD and tire-pavement noise is observed for concrete pavement. Furthermore, a forensic equation to estimate tire-pavement noise based on MPD and texture types of concrete pavement is suggested. CONCLUSIONS: Tire-pavement noise on concrete pavement can be predicted based on the consideration of texture type and MPD estimation.