Modulus Back-Calculation of Four-Layer System Based on the Characteristic Parameters of Deflection Basin-Reference-Cited by-同舟云学术

Modulus Back-Calculation of Four-Layer System Based on the Characteristic Parameters of Deflection Basin

Published:2022-04-25 Issue:4 Volume:50 Page:20210717
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Liu Xu¹,Wang Xudong²,Wu Yang¹,Zhou Xingye¹

Affiliation:

1. Fundamental Research Innovation Center, Research Institute of Highway Ministry of Transport, 8 Xitucheng Rd., Beijing 100088, China, https://orcid.org/0000-0002-6703-8156 (X.L.), http://orcid.org/0000-0001-5826-6387 (Y.W.), http://orcid.org/0000-0001-8314-2124 (X.Z.)

2. Fundamental Research Innovation Center, Research Institute of Highway Ministry of Transport, 8 Xitucheng Rd., Beijing 100088, China (Corresponding author), e-mail: xd.wang@rioh.cn, https://orcid.org/0000-0003-2634-0452

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference25 articles.

1. Review of Lightweight Deflectometer for Routine In Situ Assessment of Pavement Material Stiffness;Fleming;Transportation Research Record,2007

2. Comparison of AASHTO Structural Evaluation Techniques Using Nondestructive Deflection Testing;Rada;Transportation Research Record,1988

3. Determining Pavement Structural Number from FWD Testing;Rohde;Transportation Research Record,1994

4. Structural Response of LVR Flexible Pavements at Mn/Road Project;Garg;Journal of Transportation Engineering,1999

5. F. Leiva-Villacorta, “Advanced Computing Techniques in Structural Evaluation of Flexible Pavements Using the Falling Weight Deflectometer” (PhD diss., Auburn University, 2012), https://web.archive.org/web/20220118072554/https://etd.auburn.edu//handle/10415/3250

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Numerical analysis and conversion of dynamic and static deflection of asphalt pavement under FWD loading;Construction and Building Materials;2023-02

2. An Augmented Model of Rutting Data Based on Radial Basis Neural Network;Symmetry;2022-12-23