Structural Behavior Prediction Model for Asphalt Pavements: A Deep Neural Network Approach

Author:

Haridas Aswani K.1,Peraka Naga Siva Pavani2,Biligiri Krishna Prapoorna3

Affiliation:

1. Department of Civil and Environmental Engineering, Indian Institute of Technology Tirupati, Andhra Pradesh 517619, India

2. Department of Civil Engineering, GMR Institute of Technology Rajam, Andhra Pradesh 532217, India

3. Department of Civil & Environmental Engineering, Indian Institute of Technology Tirupati, Andhra Pradesh 517619, India (Corresponding author), e-mail: bkp@iittp.ac.in, https://orcid.org/0000-0002-2313-0815

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference42 articles.

1. Nondestructive Testing of Asphalt Pavements for Structural Condition Evaluation: A State of the Art;Goel;Nondestructive Testing and Evaluation,2008

2. J. Stevenson, Pavement Manual (Austin, TX: Texas Department of Transportation, 2021).

3. A. Das, “Interpretation of Falling Weight Deflectometer Data” (paper presentation, Seloflex World Conference, February 5, 2010, New Delhi, India).

4. Review of Falling Weight Deflectometer for Assessment of Flexible Pavement;Makwana;ELK Asia Pacific Journals of Civil and Structural Development,2018

5. National Academies of Sciences Engineering, and Medicine, Falling Weight Deflectometer Usage, NCHRP Synthesis 381 (Washington, DC: The National Academies Press, 2008), https://doi.org/10.17226/13675

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