International standards organization-compatible index for pavement roughness

被引:0
|
作者
Papagiannakis, AT [1 ]
Raveendran, B [1 ]
机构
[1] Washington State Univ, Dept Civil & Environm Engn, Pullman, WA 99164 USA
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The development of a new pavement roughness index, which is compatible to the current International Standards Organization (ISO) standard on "exposure to whole-body vibration" is described. The index was intended to be the independent variable in the future development of relationships between user cost (i.e., vehicle depreciation, repairs, discomfort and so on) and pavement roughness; hence it was named RIDE (Roughness Index for Driving Expenditure). RIDE is based on the sprung mass acceleration response of a reference vehicle to the pavement profile. It is calculated in the frequency domain by multiplying the power spectral density (PSD) of the pavement profile by the square of the transfer function of the sprung mass acceleration of the reference vehicle, The resulting sprung mass acceleration PSD is integrated over frequency to yield the root-mean-square of the sprung mass acceleration per unit length of pavement traveled. The sprung mass acceleration is shown to be the main contributor of dynamic axle loads in heavy trucks, which relate to vehicle and cargo damage and also to pavement damage.
引用
收藏
页码:110 / 115
页数:6
相关论文
共 50 条
  • [1] International Standards Organization - compatible index for pavement roughness
    Papagiannakis, A.T.
    Raveendran, G.
    Transportation Research Record, 1998, (1643): : 110 - 115
  • [2] Evaluation of Pavement Roughness by the International Roughness Index for Sustainable Pavement Construction in New Taipei City
    Chen, Shong-Loong
    Lin, Chun
    Tang, Chao-Wei
    Hsieh, Hsin-Ang
    SUSTAINABILITY, 2022, 14 (12)
  • [3] Study of Pavement Condition Index (PCI) relationship with International Roughness Index (IRI) on Flexible Pavement
    Hasibuan, Rijal Psalmen
    Surbakti, Medis Sejahtera
    INTERNATIONAL CONFERENCE ON SUSTAINABLE CIVIL ENGINEERING STRUCTURES AND CONSTRUCTION MATERIALS (SCESCM 2018), 2019, 258
  • [4] Applicability of the international roughness index as a predictor of asphalt pavement condition
    Park, Kyungwon
    Thomas, Natacha E.
    Lee, K. Wayne
    JOURNAL OF TRANSPORTATION ENGINEERING, 2007, 133 (12) : 706 - 709
  • [5] Gray system model for estimating the pavement international roughness index
    Jiang, Y
    Li, S
    JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES, 2005, 19 (01) : 62 - 68
  • [6] Decision Model of Pavement Maintenance Based on International Roughness Index
    Zhi S.
    Hu W.
    Guo Y.
    Lan H.
    Jing H.
    Journal of Engineering Science and Technology Review, 2023, 16 (05) : 45 - 51
  • [7] The predicted model of international roughness index for drainage asphalt pavement
    Chen, Chien-Ta
    Hung, Ching-Tsung
    Chou, Chien-Cheng
    Chiang, Ziping
    Lin, Jyh-Dong
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUES, 2008, 5226 : 937 - +
  • [8] Enhancing Pavement Sustainability: Prediction of the Pavement Condition Index in Arid Urban Climates Using the International Roughness Index
    Radwan, Mostafa M.
    Mousa, Ahmad
    Zahran, Elsaid Mamdouh Mahmoud
    SUSTAINABILITY, 2024, 16 (08)
  • [9] Development of a model for estimating International Roughness Index from pavement distresses
    Sandra, Amarendra Kumar
    Sarkar, Ashoke Kumar
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2013, 14 (08) : 715 - 724
  • [10] Performance of Machine Learning Algorithms in Predicting the Pavement International Roughness Index
    Bashar, Mohammad Z.
    Torres-Machi, Cristina
    TRANSPORTATION RESEARCH RECORD, 2021, 2675 (05) : 226 - 237