Prediction of Asphalt Pavement Responses from FWD Surface Deflections Using Soft Computing Methods-Reference-Cited by-同舟云学术

Prediction of Asphalt Pavement Responses from FWD Surface Deflections Using Soft Computing Methods

Published:2018-06 Issue:2 Volume:144 Page:04018014
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Li Maoyun¹,Wang Hao²

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey, New Brunswick, NJ 08901-8554.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Rutgers, State Univ. of New Jersey, New Brunswick, NJ 08901-8554 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000044

Reference34 articles.

1. ABAQUS version 6.10 [Computer software]. Habbit Karlsson & Sorenson Inc. Pawtucket RI.

2. Dynamic Analysis of Thin Asphalt Pavements by Using Cross-Anisotropic Stress-Dependent Properties for Granular Layer

3. Thin asphalt pavement performance equation through direct computation of falling weight deflectometer-derived strains

4. Estimation of tensile strains at the bottom of asphalt concrete layers under wheel loading using deflection basins from falling weight deflectometer tests

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