A simplified pavement condition index regression model for pavement evaluation-Reference-Cited by-同舟云学术

A simplified pavement condition index regression model for pavement evaluation

Published:2019-07-07 Issue:5 Volume:22 Page:643-652
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Elhadidy Amr A.¹,El-Badawy Sherif M.²,Elbeltagi Emad E.³

Affiliation:

1. Civil Engineering Department, Higher Misr Institute for Engineering and Technology, Mansoura, Egypt

2. Public Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt

3. Structural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2019.1633579

Reference39 articles.

1. Abd El-Aziz, N. et al., 2017. Validation and improvement of pavement ME flexible pavement roughness prediction model using extended LTPP database. 96th Annual Meeting of the Transportation Research Board Washington D.C., USA.

2. International Roughness Index prediction model for flexible pavements

3. American Society for Testing and Materials, 2007. Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys. ASTM D6433-07.

4. ARA Inc, 2004. ERES consultants division, guide for mechanistic-empirical design of new and rehabilitated pavement structures, NCHRP 1–37A Final Report, Transportation Research Board, National Research Council, Washington, DC.

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