Using ANN modeling for pavement layer moduli backcalculation as a function of traffic speed deflections

Author:

Mabrouk Gamal M.,Elbagalati Omar S.,Dessouky Samer,Fuentes Luis,Walubita Lubinda F.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference44 articles.

1. Y. Chien LEE, Condition assessment of flexible pavements using FWD deflections, 1997. https://www.proquest.com/openview/4ea5bf35a8d9c409f0edd930dbe7bf3d/1?pq-origsite=gscholar&cbl=18750&diss=y, (accessed May 24, 2021).

2. Development of an Enhanced Decision-Making Tool for Pavement Management Using a Neural Network Pattern-Recognition Algorithm;Elbagalati;J. Transp. Eng. Part B Pavements.,2018

3. Development of the pavement structural health index based on falling weight deflectometer testing;Elbagalati;Int. J. Pavement Eng.,2018

4. A probabilistic approach to detect structural problems in flexible pavement sections at network level assessment;Fuentes;Int. J. Pavement Eng.,2020

5. Artificial neural networks - Genetic algorithm based model for backcalculation of pavement layer moduli;Rakesh;Int. J. Pavement Eng.,2006

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